Hands and  [本・雑誌・コミック]
 
 
8882件中 1件 - 30件  1 2 3 4 5 6
商品説明価格

[楽譜] モーツァルト/2台ピアノのための作品集《輸入ピアノ楽譜》【10,000円以上送料無料】(Works for Piano Four Hands and Two Pianos)《輸入楽譜》

ロケットミュージック 楽譜EXPRESS
ジャンル:2台ピアノ出版社:Dover弊社に在庫がない場合の取り寄せ発送目安:4日〜12日作曲者:Wolfgang Amadeus Mozart/ヴォルフガング・アマデウス・モーツァルト編成:2台ピアノ解説:Dover Editionとは...1941年設立のアメリカの出版社。オーケストラのスタディスコアを多く取り扱っています。大判サイズのものが多く、とても見やすく製本されているのにも関わらず非常にお手頃な値段設定となっており、楽曲分析の際にはとても重宝するものばかりです。サンプル楽譜はこちらこちらの商品は他店舗同時販売しているため在庫数は変動する場合がございます。9,091円以上お買い上げで送料無料です。 3,168円

Go Fish: A 3-In-1 Card Deck: Card Games Include Go Fish, Concentration, and Snap GO FISH (Big Cards for Little Hands) [ Oliver Jeffers ]

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GO FISH Big Cards for Little Hands Oliver Jeffers POTTER CLARKSON N2020 Board Games English ISBN:9781984826749 洋書 Family life & Comics(生活&コミック) Games 2,059円

おとうさんのてとおかあさんのてはまほうのて Dad’s hands and mom’s han [ 福生かずな ]

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Dad’s hands and mom’s han 福生かずな 山本えりこ 文芸社オトウサン ノ テ ト オカアサン ノ テ ワ マホウ ノ テ フクウ,カズナ ヤマモト,エリコ 発行年月:2022年11月 予約締切日:2022年10月12日 ページ数:32p サイズ:絵本 ISBN:9784286238630 本 絵本・児童書・図鑑 絵本 絵本(日本) 1,320円

Morpho: Hands and Feet: Anatomy for Artists MORPHO HANDS & FEET (Morpho: Anatomy for Artists) [ Michele Lauricella ]

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MORPHO HANDS & FEET Morpho: Anatomy for Artists Michele Lauricella ROCKY NOOK2019 Paperback English ISBN:9781681985398 洋書 Art & Entertainment(芸術&エンターテインメント) Art 2,692円

In the palms of your hands Paintings,poems,and essay [ 星野富弘 ]

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Paintings,poems,and essay 星野富弘 油井義昭 偕成社イン ザ パームズ オブ ユア ハンズ ホシノ,トミヒロ ユイ,ヨシアキ 発行年月:2000年05月 ページ数:95p サイズ:単行本 ISBN:9784030190702 本文:英文 油井芙美子(ユイフミコ) Born in Tokyo in 1943.Graduated from Rikkyo University(B.A.)and Wheaton Collge Graduate School(M.A.).She is pastor’s wife at Nagatsuda Christ Church(本データはこの書籍が刊行された当時に掲載されていたものです) 1 Spring(On a Mountain Path(1988)/There was a Child(1998)/The Only One Thing(1989) ほか)/2 Summer(A Cloudy Sky(1997)/The One Who Declares Himself a Man(1987)/Hydrangea(1989) ほか)/3 Fall and Winter(Sunflower Seed(1990)/Akebia(1988)/Late Fall(1995) ほか) 本 ホビー・スポーツ・美術 美術 イラスト 1,980円

Big Stickers for Little Hands: My Unicorns and Mermaids BIG STICKERS FOR LITTLE HANDS [ Make Believe Ideas ]

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BIG STICKERS FOR LITTLE HANDS Make Believe Ideas Make Believe Ideas MAKE BELIEVE IDEAS INC2018 Paperback English ISBN:9781788433600 洋書 Books for kids(児童書) Juvenile Nonfiction 1,584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 ]

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<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 ]

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<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 Gradient Boosting with XGBoost and scikit-learn Perform accessible machine learning and extreme gradient boosting with Python【電子書籍】[ Corey Wade ]

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<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 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 ]

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<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 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 ]

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<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 Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ]

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<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 Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】[ Giuseppe Bonaccorso ]

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<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

My Hands MY HANDS REV/E (Let's-Read-And-Find-Out Science 1) [ Aliki ]

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MY HANDS REV/E Let'sーReadーAndーFindーOut Science 1 Aliki Aliki HARPERCOLLINS2000 Paperback Revised English ISBN:9780064450966 洋書 Books for kids(児童書) Juvenile Nonfiction 1,108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 ]

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<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 Hacking: Become an Expert at Next Gen Penetration Testing and Purple Teaming HANDS ON HACKING [ Matthew Hickey ]

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HANDS ON HACKING Matthew Hickey Jennifer Arcuri WILEY2020 Paperback English ISBN:9781119561453 洋書 Computers & Science(コンピューター&科学) Computers 7,128円

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 ]

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<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 ]

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<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

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 ]

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<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 High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management【電子書籍】[ Marek Krajewski ]

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<p><strong>Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your code</strong></p> <h4>Key Features</h4> <ul> <li>Build efficient and concurrent applications in Qt to create cross-platform applications</li> <li>Identify performance bottlenecks and apply the correct algorithm to improve application performance</li> <li>Delve into parallel programming and memory management to optimize your code</li> </ul> <h4>Book Description</h4> <p>Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance.</p> <p>The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains.</p> <p>By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature</p> <h4>What you will learn</h4> <ul> <li>Understand classic performance best practices</li> <li>Get to grips with modern hardware architecture and its performance impact</li> <li>Implement tools and procedures used in performance optimization</li> <li>Grasp Qt-specific work techniques for graphical user interface (GUI) and platform programming</li> <li>Make Transmission Control Protocol (TCP) and Hypertext Transfer Protocol (HTTP) performant and use the relevant Qt classes</li> <li>Discover the improvements Qt 5.9 (and the upcoming versions) holds in store</li> <li>Explore Qt's graphic engine architecture, strengths, and weaknesses</li> </ul> <h4>Who this book is for</h4> <p>This book is designed for Qt developers who wish to build highly performance applications for desktop and embedded devices. Programming Experience with C++ is required.</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 Value-at-Risk and Expected Shortfall A Practical Primer【電子書籍】[ Martin Auer ]

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<p>This book describes a maximally simple market risk model that is still practical and main risk measures like the value-at-risk and the expected shortfall. It outlines the model's (i) underlying math, (ii) daily operation, and (iii) implementation, while stripping away statistical overhead to keep the concepts accessible. The author selects and weighs the various model features, motivating the choices under real-world constraints, and addresses the evermore important handling of regulatory requirements. The book targets not only practitioners new to the field but also experienced market risk operators by suggesting useful data analysis procedures and implementation details. It furthermore addresses market risk consumers such as managers, traders, and compliance officers by making the model behavior intuitively transparent.</p> <p><em>A very useful guide to the theoretical and practical aspects of implementing and operating a risk-monitoring system for a mid-size financial institution. It sets a common body of knowledge to facilitate communication between risk managers, computer and investment specialists by bridging their diverse backgrounds.</em></p> <p><strong>Giovanni Barone-Adesi</strong> ー Professor, Universit? della Svizzera italiana</p> <p><em>This unassuming and insightful book starts from the basics and plainly brings the reader up to speed on both theory and implementation.</em></p> <p><strong>Shane Hegarty</strong> ー Director Trade Floor Risk Management, Scotiabank</p> <p>Visit the book’s website at www.value-at-risk.com.</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。 6,928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 ]

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<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

Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge【電子書籍】[ Colin Dow ]

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<p><strong>Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV)</strong></p> <h4>Key Features</h4> <ul> <li>Become well-versed with best practices for implementing automated analytical computations</li> <li>Discover real-world examples to extend cloud intelligence</li> <li>Develop your skills by understanding edge analytics and applying it to research activities</li> </ul> <h4>Book Description</h4> <p>Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum.</p> <p>You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure.</p> <p>By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.</p> <h4>What you will learn</h4> <ul> <li>Discover the key concepts and architectures used with edge analytics</li> <li>Understand how to use long-distance communication protocols for edge analytics</li> <li>Deploy Microsoft Azure IoT Edge to a Raspberry Pi</li> <li>Create Node-RED dashboards with MQTT and Text to Speech (TTS)</li> <li>Use MicroPython for developing edge analytics apps</li> <li>Explore various machine learning techniques and discover how machine learning is related to edge analytics</li> <li>Use camera and vision recognition algorithms on the sensory side to design an edge analytics app</li> <li>Monitor and audit edge analytics apps</li> </ul> <h4>Who this book is for</h4> <p>If you are a data analyst, data architect, or data scientist who is interested in learning and practicing advanced automated analytical computations, then this book is for you. You will also find this book useful if you're looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed 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 Azure Boards Configuring and Customizing Process Workflows in Azure DevOps Services【電子書籍】[ Chaminda Chandrasekara ]

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<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 ]

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<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 Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise【電子書籍】[ Estelle Scifo ]

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<p><strong>Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning</strong></p> <h4>Key Features</h4> <ul> <li>Get up and running with graph analytics with the help of real-world examples</li> <li>Explore various use cases such as fraud detection, graph-based search, and recommendation systems</li> <li>Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling</li> </ul> <h4>Book Description</h4> <p>Neo4j is a graph database that includes plugins to run complex graph algorithms.</p> <p>The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You'll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You'll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You'll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you'll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you'll get to grips with structuring a web application for production using Neo4j.</p> <p>By the end of this book, you'll not only be able to harness the power of graphs to handle a broad range of problem areas, but you'll also have learned how to use Neo4j efficiently to identify complex relationships in your data.</p> <h4>What you will learn</h4> <ul> <li>Become well-versed with Neo4j graph database building blocks, nodes, and relationships</li> <li>Discover how to create, update, and delete nodes and relationships using Cypher querying</li> <li>Use graphs to improve web search and recommendations</li> <li>Understand graph algorithms such as pathfinding, spatial search, centrality, and community detection</li> <li>Find out different steps to integrate graphs in a normal machine learning pipeline</li> <li>Formulate a link prediction problem in the context of machine learning</li> <li>Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs</li> </ul> <h4>Who this book is for</h4> <p>This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.</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

[楽譜] J.P.スーザ/星条旗よ永遠なれ(2台8手)《輸入ピアノ楽譜》【10,000円以上送料無料】(Stars and Stripes Forever (2 Pianos 8 Hands)《輸入楽譜》

ロケットミュージック 楽譜EXPRESS
ジャンル:2台ピアノ出版社:Kjos弊社に在庫がない場合の取り寄せ発送目安:8日〜31日作曲者:John Philip Sousa/ジョン・フィリップ・スーザ編曲者:Mack Wilberg/マック・ウィルバーグ編成:2台ピアノこちらの商品は他店舗同時販売しているため在庫数は変動する場合がございます。9,091円以上お買い上げで送料無料です。 1,782円

Hands-On Functional Programming with TypeScript Explore functional and reactive programming to create robust and testable TypeScript applications【電子書籍】[ Remo H. Jansen ]

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<p><strong>Discover the power of functional programming, lazy evaluation, monads, concurrency, and immutability to create succinct and expressive implementations</strong></p> <h4>Key Features</h4> <ul> <li>Get a solid understanding of how to apply functional programming concepts in TypeScript</li> <li>Explore TypeScript runtime features such as event loop, closures, and Prototypes</li> <li>Gain deeper knowledge on the pros and cons of TypeScript</li> </ul> <h4>Book Description</h4> <p>Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language.</p> <p>The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you'll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios.</p> <p>By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript.</p> <h4>What you will learn</h4> <ul> <li>Understand the pros and cons of functional programming</li> <li>Delve into the principles, patterns, and best practices of functional and reactive programming</li> <li>Use lazy evaluation to improve the performance of applications</li> <li>Explore functional optics with Ramda</li> <li>Gain insights into category theory functional data structures such as Functors and Monads</li> <li>Use functions as values, so that they can be passed as arguments to other functions</li> </ul> <h4>Who this book is for</h4> <p>This book is designed for readers with no prior experience of functional programming with JavaScript, TypeScript or any other programming language. Some familiarity with TypeScript and web development is a must to grasp the concepts in the book easily.</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。 2,950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 ]

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<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

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 ]

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<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