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商品	説明	価格
Interpretable Machine Learning with Python Build explainable, fair, and robust high-performance models with hands-on, real-world examples【電子書籍】[ Serg Mas?s ] 楽天Kobo電子書籍ストア	＜p＞＜b＞A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models. Purchase of the print or Kindle book includes a free eBook in PDF format.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interpret real-world data, including cardiovascular disease data and the COMPAS recidivism scores＜/li＞＜li＞Build your interpretability toolkit with global, local, model-agnostic, and model-specific methods＜/li＞＜li＞Analyze and extract insights from complex models from CNNs to BERT to time series models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps. In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Progress from basic to advanced techniques, such as causal inference and quantifying uncertainty＜/li＞＜li＞Build your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformers＜/li＞＜li＞Use monotonic and interaction constraints to make fairer and safer models＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Leverage sensitivity analysis factor prioritization and factor fixing for any model＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a good grasp of the Python programming language is needed to implement the examples.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Hands-on Intermediate Econometrics Using R Templates for Learning Quantitative Methods and R Software【電子書籍】[ Hrishikesh D Vinod ] 楽天Kobo電子書籍ストア	＜p＞How to learn both applied statistics (econometrics) and free, open-source software R? This book allows students to have a sense of accomplishment by copying and pasting many hands-on templates provided here.＜/p＞＜p＞The textbook is essential for anyone wishing to have a practical understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with hands-on examples. The explicit knowledge of inputs and outputs of each new method allows the student to know which algorithm is worth studying. The book offers sufficient theoretical and algorithmic details about a vast range of statistical techniques.＜/p＞＜p＞The second edition's preface lists the following topics generally absent in other textbooks. (i) Iteratively reweighted least squares, (ii) Pillar charts to represent 3D data. (iii) Stochastic frontier analysis (SFA) (iv) model selection with Mallows' Cp criterion. (v) Hodrick-Prescott (HP) filter. (vi) Automatic ARIMA models. (vi) Nonlinear Granger-causality using kernel regressions and bootstrap confidence intervals. (vii) new Keynesian Phillips curve (NKPC). (viii) Market-neutral pairs trading using two cointegrated stocks. (ix) Artificial neural network (ANN) for product-specific forecasting. (x) Vector AR and VARMA models. (xi) New tools for diagnosing the endogeneity problem. (xii) The elegant set-up of k-class estimators and identification. (xiii) Probit-logit models and Heckman selection bias correction. (xiv) Receiver operating characteristic (ROC) curves and areas under them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy bootstrap for time series. (xx) Convergence concepts quantified. (xxi) Generalized partial correlation coefficients (xxii) Panel data and duration (survival) models.＜/p＞＜p＞＜strong＞Contents:＜/strong＞＜/p＞＜ul＞＜li＞Production Function and Regression Methods Using R＜/li＞＜li＞Univariate Time Series Analysis with R＜/li＞＜li＞Bivariate Time Series Analysis Including Stochastic Diffusion and Cointegration＜/li＞＜li＞Utility Theory and Empirical Implications＜/li＞＜li＞Vector Models for Multivariate Problems＜/li＞＜li＞Simultaneous Equation Models＜/li＞＜li＞Limited Dependent Variable (GLM) Models＜/li＞＜li＞Consumption and Demand: Kernel Regressions and Machine Learning＜/li＞＜li＞Single, Double, and Maximum Entropy Bootstrap and Inference＜/li＞＜li＞Generalized Least Squares, VARMA, and Estimating Functions＜/li＞＜li＞Box?Cox, Loess, Projection Pursuit, Quantile and Threshold Regression＜/li＞＜li＞Miscellany: Dependence, Correlations, Information Entropy, Causality, Panel Data, and Exact Stochastic Dominance＜/li＞＜/ul＞＜p＞＜strong＞Readership:＜/strong＞ Undergraduate and graduate students of economics and econometrics, applied statisticians and finance professionals.＜br /＞＜strong＞Key Features:＜/strong＞＜/p＞＜ul＞＜li＞Uniquely comprehensive coverage, including many very recently developed topics＜/li＞＜li＞Includes software snippets (that help learn the R language) for readers who are not interested in economics examples＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	7,037円
Hands-On Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Plan, track, and release great software＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create reports and dashboard for effective project management＜/li＞＜li＞Implement your development strategy in JIRA.＜/li＞＜li＞Practices to help you manage the issues in the development team＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.＜/p＞＜p＞This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Create your first project (and manage existing projects) in JIRA＜/li＞＜li＞Manage your board view and backlogs in JIRA＜/li＞＜li＞Run a Scrum Sprint project in JIRA＜/li＞＜li＞Create reports (including topic-based reports)＜/li＞＜li＞Forecast using versions＜/li＞＜li＞Search for issues with JIRA Query Language (JQL)＜/li＞＜li＞Execute bulk changes to issues＜/li＞＜li＞Create custom filters, dashboards, and widgets＜/li＞＜li＞Create epics, stories, bugs, and tasks＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for administrators who wants to apply the Agile approach to managing the issues, bugs, and releases in their software development projects using JIRA.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,723円
Hands-On GPU Programming with Python and CUDA Explore high-performance parallel computing with CUDA【電子書籍】[ Dr. Brian Tuomanen ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Expand your background in GPU programmingーPyCUDA, scikit-cuda, and Nsight＜/li＞＜li＞Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver＜/li＞＜li＞Apply GPU programming to modern data science applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory.＜/p＞＜p＞As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS.＜/p＞＜p＞With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain.＜/p＞＜p＞By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Launch GPU code directly from Python＜/li＞＜li＞Write effective and efficient GPU kernels and device functions＜/li＞＜li＞Use libraries such as cuFFT, cuBLAS, and cuSolver＜/li＞＜li＞Debug and profile your code with Nsight and Visual Profiler＜/li＞＜li＞Apply GPU programming to datascience problems＜/li＞＜li＞Build a GPU-based deep neuralnetwork from scratch＜/li＞＜li＞Explore advanced GPU hardware features, such as warp shuffling＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,085円
Buy Data Structures and Algorithms in Python (2024) Learn Data Structures & Algorithms (Python) in One Day and Learn It Well. Data Structures & Algorithms for Beginners with Hands-on Project【電子書籍】[ DS Publishing ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!＜/strong＞＜/p＞＜p＞Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.＜/p＞＜p＞＜strong＞〓 Mastering Data Structures & Algorithms: The Python Way 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Bridging the Gap Between Complexity and Comprehension 〓＜/strong＞＜/p＞＜p＞Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data organization and retrieval, coupled with swift and accurate data processing, form the bedrock of success.＜/p＞＜p＞＜strong＞〓 Highlighting Our Approach 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Crystal-Clear Data Structures & Algorithms Illustrations 〓＜/strong＞＜/p＞＜p＞Navigate the realm of data structures that dictate data organization and memory storage during program execution. It's important to distinguish persistent storage (like relational tables on disk) from these in-memory structures.＜/p＞＜p＞＜strong＞〓 Advancing with Python and Algorithms 〓＜/strong＞＜/p＞＜p＞Algorithms, those step-by-step guides to data processing, depend on cleverly woven data structures. In this book, we dive deep into these computer science pillars using the power of Python programming.＜/p＞＜p＞＜strong＞〓 Unveiling What Lies Ahead 〓＜/strong＞＜/p＞＜p＞Inside, you'll discover:＜/p＞＜p＞- A comprehensive introduction to the realm of data structures and algorithms.＜br /＞ - Seamless environment setup to ensure a smooth journey.＜br /＞ - Mastery over arrays, lists, and maps.＜br /＞ - Navigating the terrain of dictionaries and hashes.＜br /＞ - Commanding sorting techniques for optimal data arrangement.＜br /＞ - Strategic searching methods to swiftly retrieve information.＜br /＞ - Unleashing the potential of the binary tree structure.＜br /＞ - Designs of algorithms that underpin problem-solving.＜br /＞ - And much, much more, waiting for you to explore!＜/p＞＜p＞＜strong＞〓 Embark on Your Software Mastery Odyssey Today! 〓＜/strong＞＜/p＞＜p＞Are you ready to delve into the intricate world of data structures and algorithms? Your gateway to software excellence awaits ? seize the opportunity now.＜/p＞＜p＞＜strong＞〓 Secure Your Data Structures & Algorithms Copy Today! 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,006円
Hands-On Unity 2021 Game Development Create, customize, and optimize your own professional games from scratch with Unity 2021, 2nd Edition【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Achieve mesmerizing game experiences using the latest Unity 2021 features by following a practical approach to building professional games＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Unleash the capabilities of C# scripting to create UIs, graphics, game AI agents and more＜/li＞＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, UI Toolkit, Visual Scripting, and VFX graph, to enhance graphics and animation＜/li＞＜li＞Build an AR experience using Unity's AR Foundation＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Learning how to use Unity is the quickest way to creating a full game, but that's not all you can do with this simple, yet comprehensive suite of video game development tools ? Unity is just as useful for creating AR/VR experiences, complex simulations, real-time realistic rendering, films, and practical games for training and education.＜/p＞＜p＞Hands-On Unity 2021 Game Development outlines a practical journey to creating your first full game from the ground up, building it step-by-step and applying your knowledge as you progress.＜/p＞＜p＞Complete with hands-on tutorials and projects, this easy-to-follow guide will teach you how to develop the game using several Unity tools. As you advance, you will learn how to use the Unity engine, create simple scripts using C#, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You'll be able to apply all the knowledge that you gain to a real-world game.＜/p＞＜p＞Later chapters will show you how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs efficiently. Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games.＜/p＞＜p＞By the end of this Unity book, you will have created a complete game and built a solid foundation in using a wide variety of Unity tools.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore both C# and Visual Scripting tools to customize various aspects of a game, such as physics, gameplay, and the UI＜/li＞＜li＞Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline＜/li＞＜li＞Implement postprocessing to improve graphics quality with full-screen effects＜/li＞＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞＜li＞Use the brand new UI Toolkit package to create user interfaces＜/li＞＜li＞Implement game AI to control character behavior＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is best suited for game developers looking to upgrade their knowledge and those who want to migrate their existing skills to the Unity game engine. Those with prior Unity knowledge will also benefit from the chapters exploring the latest features. While you'll still able to follow along if you don't have any programming experience, knowing the fundamentals of C# programming will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Hands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】[ Giuseppe Bonaccorso ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Discover the skill-sets required to implement various approaches to Machine Learning with Python＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more＜/li＞＜li＞Build your own neural network models using modern Python libraries＜/li＞＜li＞Practical examples show you how to implement different machine learning and deep learning techniques＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.＜/p＞＜p＞This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.＜/p＞＜p＞By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Use cluster algorithms to identify and optimize natural groups of data＜/li＞＜li＞Explore advanced non-linear and hierarchical clustering in action＜/li＞＜li＞Soft label assignments for fuzzy c-means and Gaussian mixture models＜/li＞＜li＞Detect anomalies through density estimation＜/li＞＜li＞Perform principal component analysis using neural network models＜/li＞＜li＞Create unsupervised models using GANs＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞R. F. Foster's 'Foster's Complete Hoyle: An Encyclopedia of Games' is a comprehensive guide that delves into the world of games. The book covers a wide range of games with detailed instructions, rules, and strategies, making it a valuable resource for both beginners and seasoned players. Foster's writing style is clear and concise, making it easy for readers to understand and follow along. The context of the book lies in the rich history of game playing, showcasing the importance of games in various cultures and societies. This encyclopedia is not only informative but also a delightful read for anyone interested in the art of game playing. R. F. Foster, a respected author and historian, has a deep passion for games and their cultural significance. His expertise in history and literature has led him to compile this extensive encyclopedia, showcasing his knowledge and love for games of all kinds. Foster's meticulous research and attention to detail are evident throughout the book, making it a must-have for game enthusiasts and researchers alike. I highly recommend 'Foster's Complete Hoyle: An Encyclopedia of Games' to anyone looking to expand their knowledge of games and their history. Whether you are a casual player or a serious game enthusiast, this book offers valuable insights and information that will surely enhance your gaming experience.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Hands-on Azure Boards Configuring and Customizing Process Workflows in Azure DevOps Services【電子書籍】[ Chaminda Chandrasekara ] 楽天Kobo電子書籍ストア	＜p＞Understand and explore the features and management of Azure Boards with this book, which also covers Azure Boards configuration and advanced administration. This book starts by setting up projects with Azure DevOps and gives an overview of Azure Boards and its features. You will then learn to set up team projects and how to effectively use Azure Boards to plan and execute work.＜/p＞＜p＞＜em＞Hands-on Azure Boards＜/em＞ explains customizations, where you will understand the available options to track your work considering different scenarios. Next, you will learn visualizing with queries, charts, and dashboards along with reporting of Azure Boards. The author gives you hands-on lessons to set up Azure Boards and shows you how to handle multiple modules that are taken care of by different teams.＜/p＞＜p＞You will also explore the security options in Azure Boards as well as a detailed demonstration of working with the REST API and CLI. Finally,you will work with useful extensions for Azure Boards and see how to use them more effectively and efficiently. After reading this book, you will be able to work with the Azure Boards capabilities available in Azure DevOps on-premise server and services to improve your software delivery process.＜/p＞＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞＜ul＞＜li＞Plan and manage work with Azure Boards＜/li＞＜li＞Use the REST API and command line interface with Azure Boards＜/li＞＜li＞Extend Azure Boards with useful extensions to enhance its capabilities＜/li＞＜li＞Customize Azure Boards to adapt it to your process＜/li＞＜li＞Report and visualize work progress with Azure Boards＜/li＞＜/ul＞＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞＜p＞Anyone working in Azure DevOps developing applications targeting any platform using any language.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	9,116円
What is Reiki Hands on Healing With Energy A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training【電子書籍】[ Theresa Carver ] 楽天Kobo電子書籍ストア	＜p＞What is Reiki Hands on Healing With Energy＜/p＞＜p＞Reiki: What is Reiki Healing? Learn Reiki, Gain Emotional Healing and Chakra Healing with Reiki Therapy and Reiki Meditation, the Benefits of Reiki Healing Touch Through Healing Hands, A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training＜/p＞＜p＞Reiki is a Japanese type of spiritual practice also used for stress reduction and relaxation. It is a technique that also helps promote healing either for self or for other people. It is characterized as a practice of "laying of hands".＜/p＞＜p＞The healing powers of the technique are based on the idea that there is an unseen "life force energy" that flows through each person. This life force is said to be the reason why people are alive. When one's life force energy is low, then people are likely to get sick or feel weak. If the life force is high, people fell healthy and happy.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	644円
Hands-On Microsoft Teams A practical guide to enhancing enterprise collaboration with Microsoft Teams and Office 365【電子書籍】[ Jo?o Ferreira ] 楽天Kobo電子書籍ストア	＜p＞＜b＞(A new edition with enhanced coverage is now available) A complete guide on Teams filled with real-world scenarios and best practices to increase productivity and engagement＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interactive approach to learn the key concepts of Teams and its implementation in modern workplace＜/li＞＜li＞Discover tips and techniques for extending Teams to meet your business requirements＜/li＞＜li＞Integrate Teams with various Microsoft services such as PowerShell, SharePoint, PowerApps, and Power Automate＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way. Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you’ll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You’ll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you’ll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features. By the end of this book, you’ll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Create teams, channels, and tabs in Microsoft Teams＜/li＞＜li＞Explore the Teams architecture and various Office 365 components included in Teams＜/li＞＜li＞Perform scheduling, and managing meetings and live events in Teams＜/li＞＜li＞Configure and manage apps in Teams＜/li＞＜li＞Design automated scripts for managing a Teams environment using PowerShell＜/li＞＜li＞Build your own Microsoft Teams app without writing code＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This Microsoft Teams book is for power users and business professionals looking to use Teams for improving collaboration in an enterprise environment. The book will also be useful for Office 365 administrators interested in implementing Microsoft Teams effectively by learning about and exploring expert tips and best practices to ensure good governance.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,734円
Hands-On Data Analysis with Pandas Efficiently perform data collection, wrangling, analysis, and visualization using Python【電子書籍】[ Stefanie Molin ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with pandasーa versatile and high-performance Python library for data manipulation, analysis, and discovery＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Perform efficient data analysis and manipulation tasks using pandas＜/li＞＜li＞Apply pandas to different real-world domains using step-by-step demonstrations＜/li＞＜li＞Get accustomed to using pandas as an effective data exploration tool＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.＜/p＞＜p＞Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data.＜/p＞＜p＞By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how data analysts and scientists gather and analyze data＜/li＞＜li＞Perform data analysis and data wrangling in Python＜/li＞＜li＞Combine, group, and aggregate data from multiple sources＜/li＞＜li＞Create data visualizations with pandas, matplotlib, and seaborn＜/li＞＜li＞Apply machine learning (ML) algorithms to identify patterns and make predictions＜/li＞＜li＞Use Python data science libraries to analyze real-world datasets＜/li＞＜li＞Use pandas to solve common data representation and analysis problems＜/li＞＜li＞Build Python scripts, modules, and packages for reusable analysis code＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Practical Threat Intelligence and Data-Driven Threat Hunting A hands-on guide to threat hunting with the ATT&CK? Framework and open source tools【電子書籍】[ Valentina Costa-Gazcon ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting＜/li＞＜li＞Carry out atomic hunts to start the threat hunting process and understand the environment＜/li＞＜li＞Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business.＜/p＞＜p＞This book is not only an introduction for those who don't know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch.＜/p＞＜p＞You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you'll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework.＜/p＞＜p＞By the end of this book, you'll have the skills you need to be able to carry out effective hunts in your own environment.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization＜/li＞＜li＞Explore the different stages of the TH process＜/li＞＜li＞Model the data collected and understand how to document the findings＜/li＞＜li＞Simulate threat actor activity in a lab environment＜/li＞＜li＞Use the information collected to detect breaches and validate the results of your queries＜/li＞＜li＞Use documentation and strategies to communicate processes to senior management and the wider business＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,085円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞Foster's Complete Hoyle: An Encyclopedia of Games by R. F. Foster is a comprehensive guide to indoor games played during the author's time. The book offers expert advice on strategies, illustrative examples, and a complete set of official rules. Foster's work remains a valuable resource for enthusiasts and historians interested in the evolution of gaming and its cultural impact.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Hands-On Embedded Programming with Qt Develop high performance applications for embedded systems with C++ and Qt 5【電子書籍】[ John Werner ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A comprehensive guide that will get you up and running with embedded software development using Qt5＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create fluid, cross-platform applications for embedded devices＜/li＞＜li＞Achieve optimum performance in your applications with QT Lite project＜/li＞＜li＞Explore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSockets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Qt is an open-source toolkit suitable for cross-platform and embedded application development. This book uses inductive teaching to help you learn how to create applications for embedded and Internet of Things (IoT) devices with Qt 5.＜/p＞＜p＞You'll start by learning to develop your very first application with Qt. Next, you'll build on the first application by understanding new concepts through hands-on projects and written text. Each project will introduce new features that will help you transform your basic first project into a connected IoT application running on embedded hardware. In addition to practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development, along with exploring advanced techniques for testing, debugging, and monitoring the performance of Qt applications. Through the course of the book, the examples and projects are demonstrated in a way so that they can be run both locally and on an embedded platform.＜/p＞＜p＞By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to develop Qt applications using Qt Creator under Linux＜/li＞＜li＞Explore various Qt GUI technologies to build resourceful and interactive applications＜/li＞＜li＞Understand Qt's threading model to maintain a responsive UI＜/li＞＜li＞Get to grips with remote target load and debug under Qt Creator＜/li＞＜li＞Become adept at writing IoT code using Qt＜/li＞＜li＞Learn a variety of software best practices to ensure that your code is efficient＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for software and hardware professionals with experience in different domains who are seeking new career opportunities in embedded systems and IoT. Working knowledge of the C++ Linux command line will be useful to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
100 Easy STEAM Activities Awesome Hands-On Projects for Aspiring Artists and Engineers【電子書籍】[ Andrea Scalzo Yi ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Exciting Activities for Young Artists, Scientists and Engineers＜/strong＞＜/p＞＜p＞Spark your curiosity with these fun games and creative projects to learn early concepts in Science, Technology, Engineering, Art and Math. These incredible activities from Andrea Scalzo Yi, creator of Raising Dragons, make learning such a blast, you’ll forget you’re doing it!＜/p＞＜p＞Feeling bored on a rainy day? Now you can pick a project, gather your supplies and let the magic happen. Try far-out science experiments like making Shaving Cream Rain Clouds or Lava Lamps. Make math-time snack-time with delicious Cream-Filled Cookie Fractions. Unlock boundless creativity with art projects like Marbled Paper or Monster Bugs. With seasonal activities like the Pool Noodle Obstacle Course and Erupting Pumpkins, there are games to love year-round.＜/p＞＜p＞Have fun learning early ideas in chemistry, physics, computing, color-mixing and so much more, all while problem-solving and working together with friends. With projects that use common household items and require little adult supervision, ＜em＞100 Easy STEAM Activities＜/em＞ is the ultimate resource for an amazing, creative day of learning.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,494円
Hands-On Genetic Algorithms with Python Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems【電子書籍】[ Eyal Wirsansky ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore the ins and outs of genetic algorithms with this fast-paced guide＜/li＞＜li＞Implement tasks such as feature selection, search optimization, and cluster analysis using Python＜/li＞＜li＞Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.＜/p＞＜p＞After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications.＜/p＞＜p＞By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications＜/li＞＜li＞Use genetic algorithms to optimize functions and solve planning and scheduling problems＜/li＞＜li＞Enhance the performance of machine learning models and optimize deep learning network architecture＜/li＞＜li＞Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym＜/li＞＜li＞Explore how images can be reconstructed using a set of semi-transparent shapes＜/li＞＜li＞Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R【電子書籍】[ Nataraj Dasgupta ] 楽天Kobo電子書籍ストア	＜p＞Get command of your organizational Big Data using the power of data science and analytics About This Book ? A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions ? Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses ? Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Who This Book Is For The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience. What You Will Learn ? Get a 360-degree view into the world of Big Data, data science and machine learning ? Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives ? Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R ? Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions ? Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications ? Understand corporate strategies for successful Big Data and data science projects ? Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies In Detail Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. Style and approach This book equips you with a knowledge of various NoSQL tools, R, Python programming, cloud platforms, and techniques so you can use them to store, analyze, and deliver meaningful insights from your data.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,540円
Hands-On Data Structures and Algorithms with Python Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition【電子書籍】[ Dr. Basant Agarwal ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore functional and reactive implementations of traditional and advanced data structures＜/li＞＜li＞Apply a diverse range of algorithms in your Python code＜/li＞＜li＞Implement the skills you have learned to maximize the performance of your applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.＜/p＞＜p＞By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand common data structures and algorithms using examples, diagrams, and exercises＜/li＞＜li＞Explore how more complex structures, such as priority queues and heaps, can benefit your code＜/li＞＜li＞Implement searching, sorting, and selection algorithms on number and string sequences＜/li＞＜li＞Become confident with key string-matching algorithms＜/li＞＜li＞Understand algorithmic paradigms and apply dynamic programming techniques＜/li＞＜li＞Use asymptotic notation to analyze algorithm performance with regard to time and space complexities＜/li＞＜li＞Write powerful, robust code using the latest features of Python＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,540円
Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Install R and QGIS＜/li＞＜li＞Get familiar with the basics of R programming and QGIS＜/li＞＜li＞Visualize quantitative and qualitative data to create maps＜/li＞＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,540円
Rust Web Programming A hands-on guide to developing fast and secure web apps with the Rust programming language【電子書籍】[ Maxwell Flitton ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Adopt the Rust programming language by learning how to build fully functional web applications and services and address challenges relating to safety and performance＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Build scalable web applications in Rust using popular frameworks such as Actix, Rocket, and Warp＜/li＞＜li＞Create front-end components that can be injected into multiple views＜/li＞＜li＞Develop data models in Rust to interact with the database＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Are safety and high performance a big concern for you while developing web applications?＜/p＞＜p＞While most programming languages have a safety or speed trade-off, Rust provides memory safety without using a garbage collector. This means that with its low memory footprint, you can build high-performance and secure web apps with relative ease.＜/p＞＜p＞This book will take you through each stage of the web development process, showing you how to combine Rust and modern web development principles to build supercharged web apps.＜/p＞＜p＞You'll start with an introduction to Rust and understand how to avoid common pitfalls when migrating from traditional dynamic programming languages. The book will show you how to structure Rust code for a project that spans multiple pages and modules. Next, you'll explore the Actix Web framework and get a basic web server up and running. As you advance, you'll learn how to process JSON requests and display data from the web app via HTML, CSS, and JavaScript. You'll also be able to persist data and create RESTful services in Rust. Later, you'll build an automated deployment process for the app on an AWS EC2 instance and Docker Hub. Finally, you'll play around with some popular web frameworks in Rust and compare them.＜/p＞＜p＞By the end of this Rust book, you'll be able to confidently create scalable and fast web applications with Rust.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Structure scalable web apps in Rust in Rocket, Actix Web, and Warp＜/li＞＜li＞Apply data persistence for your web apps using PostgreSQL＜/li＞＜li＞Build login, JWT, and config modules for your web apps＜/li＞＜li＞Serve HTML, CSS, and JavaScript from the Actix Web server＜/li＞＜li＞Build unit tests and functional API tests in Postman and Newman＜/li＞＜li＞Deploy the Rust app with NGINX and Docker onto an AWS EC2 instance＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book on web programming with Rust is for web developers who have programmed in traditional languages such as Python, Ruby, JavaScript, and Java and are looking to develop high-performance web applications with Rust. Although no prior experience with Rust is necessary, a solid understanding of web development principles and basic knowledge of HTML, CSS, and JavaScript are required if you want to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Hands-On Microservices with Kotlin Build reactive and cloud-native microservices with Kotlin using Spring 5 and Spring Boot 2.0【電子書籍】[ Juan Antonio Medina Iglesias ] 楽天Kobo電子書籍ストア	＜p＞Build smart, efficient, and fast enterprise-grade web implementation of the microservices architecture that can be easily scaled. About This Book ? Write easy-to-maintain lean and clean code with Kotlin for developing better microservices ? Scale your Microserivces in your own cloud with Docker and Docker Swarm ? Explore Spring 5 functional reactive web programming with Spring WebFlux Who This Book Is For If you are a Kotlin developer with a basic knowledge of microservice architectures and now want to effectively implement these services on enterprise-level web applications, then this book is for you What You Will Learn ? Understand microservice architectures and principles ? Build microservices in Kotlin using Spring Boot 2.0 and Spring Framework 5.0 ? Create reactive microservices that perform non-blocking operations with Spring WebFlux ? Use Spring Data to get data reactively from MongoDB ? Test effectively with JUnit and Kotlin ? Create cloud-native microservices with Spring Cloud ? Build and publish Docker images of your microservices ? Scaling microservices with Docker Swarm ? Monitor microservices with JMX ? Deploy microservices in OpenShift Online In Detail With Google's inclusion of first-class support for Kotlin in their Android ecosystem, Kotlin's future as a mainstream language is assured. Microservices help design scalable, easy-to-maintain web applications; Kotlin allows us to take advantage of modern idioms to simplify our development and create high-quality services. With 100% interoperability with the JVM, Kotlin makes working with existing Java code easier. Well-known Java systems such as Spring, Jackson, and Reactor have included Kotlin modules to exploit its language features. This book guides the reader in designing and implementing services, and producing production-ready, testable, lean code that's shorter and simpler than a traditional Java implementation. Reap the benefits of using the reactive paradigm and take advantage of non-blocking techniques to take your services to the next level in terms of industry standards. You will consume NoSQL databases reactively to allow you to create high-throughput microservices. Create cloud-native microservices that can run on a wide range of cloud providers, and monitor them. You will create Docker containers for your microservices and scale them. Finally, you will deploy your microservices in OpenShift Online. Style and approach This book guides the reader in designing and implementing services, achieving production- ready, testable, easy-to-maintain, lean code that's shorter and simpler than a traditional Java implementation.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,540円
Hands-On Gradient Boosting with XGBoost and scikit-learn Perform accessible machine learning and extreme gradient boosting with Python【電子書籍】[ Corey Wade ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with building robust XGBoost models using Python and scikit-learn for deployment＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Get up and running with machine learning and understand how to boost models with XGBoost in no time＜/li＞＜li＞Build real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal results＜/li＞＜li＞Discover tips and tricks and gain innovative insights from XGBoost Kaggle winners＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞XGBoost is an industry-proven, open-source software library that provides a gradient boosting framework for scaling billions of data points quickly and efficiently.＜/p＞＜p＞The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers. Details in XGBoost are explored with a focus on speed enhancements and deriving parameters mathematically. With the help of detailed case studies, you'll practice building and fine-tuning XGBoost classifiers and regressors using scikit-learn and the original Python API. You'll leverage XGBoost hyperparameters to improve scores, correct missing values, scale imbalanced datasets, and fine-tune alternative base learners. Finally, you'll apply advanced XGBoost techniques like building non-correlated ensembles, stacking models, and preparing models for industry deployment using sparse matrices, customized transformers, and pipelines.＜/p＞＜p＞By the end of the book, you'll be able to build high-performing machine learning models using XGBoost with minimal errors and maximum speed.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Build gradient boosting models from scratch＜/li＞＜li＞Develop XGBoost regressors and classifiers with accuracy and speed＜/li＞＜li＞Analyze variance and bias in terms of fine-tuning XGBoost hyperparameters＜/li＞＜li＞Automatically correct missing values and scale imbalanced data＜/li＞＜li＞Apply alternative base learners like dart, linear models, and XGBoost random forests＜/li＞＜li＞Customize transformers and pipelines to deploy XGBoost models＜/li＞＜li＞Build non-correlated ensembles and stack XGBoost models to increase accuracy＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data science professionals and enthusiasts, data analysts, and developers who want to build fast and accurate machine learning models that scale with big data. Proficiency in Python, along with a basic understanding of linear algebra, will help you to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,880円
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】[ Aur?lien G?ron ] 楽天Kobo電子書籍ストア	＜p＞Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.＜/p＞＜p＞With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.＜/p＞＜ul＞＜li＞Use Scikit-learn to track an example ML project end to end＜/li＞＜li＞Explore several models, including support vector machines, decision trees, random forests, and ensemble methods＜/li＞＜li＞Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection＜/li＞＜li＞Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers＜/li＞＜li＞Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,151円
Python for Beginners. A Smarter Way to Learn Python in 5 Days and Remember it Longer. With Easy Step by Step Guidance and Hands on Examples. (Python Crash Course-Programming for Beginners)【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/strong＞＜/p＞＜p＞＜strong＞Do you want to know the secret to learning Python the easy way and start programming today?＜/strong＞＜/p＞＜p＞This book is for you.＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Programming Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python coding in a simple and concise format and in the quickest time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information.＜/p＞＜p＞Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜strong＞Download it now＜/strong＞＜/p＞＜p＞You'll also learn:＜/p＞＜p＞Exactly what is Python?＜/p＞＜p＞Which software do you need to code and run Python programs and where to find it?＜/p＞＜p＞What are variables?＜/p＞＜p＞What are strings and methods?＜/p＞＜p＞Using operations with numbers?＜/p＞＜p＞Using operations with lists?＜/p＞＜p＞How to use comments?＜/p＞＜p＞Working with loops?＜/p＞＜p＞Working with IF statements?＜/p＞＜p＞Operations involving dictionaries.＜/p＞＜p＞Operations using defined functions.＜/p＞＜p＞How to work with files?＜/p＞＜p＞How to manage errors and exceptions?＜/p＞＜p＞＜strong＞And more!＜/strong＞＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others【電子書籍】[ Anish Chapagain ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques ＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup＜/li＞＜li＞Build scrapers and crawlers to extract relevant information from the web＜/li＞＜li＞Automate web scraping operations to bridge the accuracy gap and manage complex business needs＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Analyze data and information from web pages＜/li＞＜li＞Learn how to use browser-based developer tools from the scraping perspective＜/li＞＜li＞Use XPath and CSS selectors to identify and explore markup elements＜/li＞＜li＞Learn to handle and manage cookies＜/li＞＜li＞Explore advanced concepts in handling HTML forms and processing logins＜/li＞＜li＞Optimize web securities, data storage, and API use to scrape data＜/li＞＜li＞Use Regex with Python to extract data＜/li＞＜li＞Deal with complex web entities by using Selenium to find and extract data＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected. ＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Buy Ruby on Rails (2024) Dive into Ruby on Rails for Beginners and Embark on a Hands-on Project to Solidify Your Skills.【電子書籍】[ Ruby Rails Publishing ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Unleash Your Web Development Potential with Ruby on Rails!＜/strong＞＜/p＞＜p＞＜strong＞〓 Experience the Magic of Ruby on Rails 〓＜/strong＞＜/p＞＜p＞Are you ready to embark on a journey of creating dynamic web applications with unmatched efficiency? Enter the world of Ruby on Rails, the game-changing web application framework crafted by David Heinemeier Hansson. Since its inception in 2004, Ruby on Rails has emerged as a powerhouse, empowering developers to craft robust and feature-rich web solutions.＜/p＞＜p＞＜strong＞〓 Discover the Power of Ruby on Rails 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Key Features of Our Ruby on Rails Tutorials 〓＜/strong＞＜/p＞＜p＞- Perfect Starting Point for Beginners: Master Ruby on Rails from Scratch＜br /＞ - Streamlined Learning: Dive into Web Application Development with Ease＜br /＞ - Harness the Efficiency of Rails: Craft Dynamic Web Solutions with Elegance＜br /＞ - Open Source Brilliance: Leverage the Power of Ruby on Rails at No Cost＜br /＞ - Comprehensive Guide: Unlock the Full Potential of Ruby on Rails for Your Projects＜/p＞＜p＞＜strong＞〓 Your Gateway to Web Application Excellence 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Why Choose Ruby on Rails? 〓＜/strong＞＜/p＞＜p＞Ruby on Rails stands tall as an open-source marvel, a framework that redefines web application development. Experience the magic of a compact design that transforms the Ruby language into a domain-specific language for building web solutions. Say goodbye to convoluted code and embrace the elegance of concise, readable applications.＜/p＞＜p＞＜strong＞〓 Accelerate Your Web Development Journey 〓＜/strong＞＜/p＞＜p＞Master the Core Elements of Ruby on Rails with Our Tutorial:＜/p＞＜p＞＜strong＞〓 Unveil the Power of Ruby 〓＜/strong＞＜/p＞＜p＞Ruby boasts the best of:＜/p＞＜p＞- Smalltalk's Elegance＜br /＞ - Python's User-Friendliness＜br /＞ - Perl's Practicality＜/p＞＜p＞＜strong＞〓 Unravel the Essence of Ruby on Rails 〓＜/strong＞＜/p＞＜p＞- Productive Web Application Framework Crafted by David Heinemeier Hansson＜br /＞ - Swiftly Develop Applications: Up to Ten Times Faster than Java Frameworks＜br /＞ - Open-Source Brilliance: Leverage the Benefits without the Cost＜br /＞ - Dive into Database-Backed Web Applications with Ease＜br /＞ - Craft Seamless Web Solutions without the Need for Compilation＜/p＞＜p＞＜strong＞〓 Ignite Your Learning Journey: Master Ruby on Rails Today! 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Unlock a World of Possibilities 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 What You'll Learn in This Tutorial: 〓＜/strong＞＜/p＞＜p＞- Introduction: Your Web Development Odyssey Begins＜br /＞ - Installation: Set Up Your Environment for Success＜br /＞ - Framework Exploration: Dive Deep into Ruby on Rails＜br /＞ - Database Setup: Lay the Foundation for Dynamic Applications＜br /＞ - Active Records: Manipulate Data with Confidence＜br /＞ - Migrations: Seamlessly Evolve Your Database Structure＜br /＞ - Controller Mastery: Control and Direct Your Application＜br /＞ - Routes and Views: Shape the User Experience＜br /＞ - Layouts: Create Consistent and Aesthetic Interfaces＜br /＞ - Scaffolding: Rapidly Develop Functional Applications＜br /＞ - File Uploading: Enhance User Interaction with File Handling＜br /＞ - Sending Emails: Establish Effective Communication Channels＜br /＞ - And So Much More...＜/p＞＜p＞＜strong＞〓 Ready to Revolutionize Your Web Development Skills? 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,006円
Hands-on Azure DevOps: CICD Implementation for Mobile, Hybrid, and Web Applications Using Azure DevOps and Microsoft Azure【電子書籍】[ Mitesh Soni ] 楽天Kobo電子書籍ストア	＜p＞A step-by-step guide to implementing Continuous Integration and Continuous Delivery for Mobile, Hybrid, and Web applications＜/p＞＜p＞This book will cover an approach that includes the understanding of DevOps, Assessment of AS-IS state, DevOps Practices Implementation and measurement of success. The main objective is to demonstrate Continuous Practices of DevOps Culture using Microsoft Azure DevOps and Microsoft Azure Cloud across different types of applications such as Mobile apps, Hybrid Mobile App, and Web applications. The main idea is to have a uniform approach across different types of applications such as Mobile apps, Hybrid Mobile App, and Web applications. It is important to have a uniform approach of DevOps Practices implementation in an application written in different programming languages such as Java, Android, iOS, Node.js, Angular, Ionic Cordova, Xamarin, Python, and PHP.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,250円
Hands-on Nuxt.js Web Development Build universal and static-generated Vue.js applications using Nuxt.js【電子書籍】[ Lau Tiam Kok ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Learn Nuxt.js for building server-side rendered, static-generated, and production-ready Vue.js web applications with the help of practical examples＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore techniques for authentication, testing, and deployment to build your first complete Nuxt.js web app＜/li＞＜li＞Write cleaner, maintainable, and scalable isomorphic JavaScript web applications＜/li＞＜li＞Transform your Vue.js application into universal and static-generated web apps＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Nuxt.js is a progressive web framework built on top of Vue.js for server-side rendering (SSR). With Nuxt.js and Vue.js, building universal and static-generated applications from scratch is now easier than ever before.＜/p＞＜p＞This book starts with an introduction to Nuxt.js and its constituents as a universal SSR framework. You'll learn the fundamentals of Nuxt.js and find out how you can integrate it with the latest version of Vue.js. You'll then explore the Nuxt.js directory structure and set up your first Nuxt.js project using pages, views, routing, and Vue components. With the help of practical examples, you'll learn how to connect your Nuxt.js application with the backend API by exploring your Nuxt.js application's configuration, plugins, modules, middleware, and the Vuex store. The book shows you how you can turn your Nuxt.js application into a universal or static-generated application by working with REST and GraphQL APIs over HTTP requests. Finally, you'll get to grips with security techniques using authorization, package your Nuxt.js application for testing, and deploy it to production.＜/p＞＜p＞By the end of this web development book, you'll have developed a solid understanding of using Nuxt.js for your projects and be able to build secure, end-to-end tested, and scalable web applications with SSR, data handling, and SEO capabilities.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Integrate Nuxt.js with the latest version of Vue.js＜/li＞＜li＞Extend your Vue.js applications using Nuxt.js pages, components, routing, middleware, plugins, and modules＜/li＞＜li＞Create a basic real-time web application using Nuxt.js, Node.js, Koa.js and RethinkDB＜/li＞＜li＞Develop universal and static-generated web applications with Nuxt.js, headless CMS and GraphQL＜/li＞＜li＞Build Node.js and PHP APIs from scratch with Koa.js, PSRs, GraphQL, MongoDB and MySQL＜/li＞＜li＞Secure your Nuxt.js applications with the JWT authentication＜/li＞＜li＞Discover best practices for testing and deploying your Nuxt.js applications＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞The book is for any JavaScript or full-stack developer who wants to build server-side rendered Vue.js apps. A basic understanding of the Vue.js framework will assist with understanding key concepts covered in the book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Hands-On Data Science for Marketing Improve your marketing strategies with machine learning using Python and R【電子書籍】[ Yoon Hyup Hwang ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Optimize your marketing strategies through analytics and machine learning＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand how data science drives successful marketing campaigns＜/li＞＜li＞Use machine learning for better customer engagement, retention, and product recommendations＜/li＞＜li＞Extract insights from your data to optimize marketing strategies and increase profitability＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.＜/p＞＜p＞This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R.＜/p＞＜p＞By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Learn how to compute and visualize marketing KPIs in Python and R＜/li＞＜li＞Master what drives successful marketing campaigns with data science＜/li＞＜li＞Use machine learning to predict customer engagement and lifetime value＜/li＞＜li＞Make product recommendations that customers are most likely to buy＜/li＞＜li＞Learn how to use A/B testing for better marketing decision making＜/li＞＜li＞Implement machine learning to understand different customer segments＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円