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| 商品 | 説明 | 価格 |
|---|---|---|
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集／ビープラウド／Pythonエンジニア育成推進協会／ソキウス・ジャパン【1000円以上送料無料】 bookfan 2号店 楽天市場店 | 著者ビープラウド(著) Pythonエンジニア育成推進協会(監修) ソキウス・ジャパン(編)出版社インプレス発売日2023年03月ISBN9784295016052ページ数214Pキーワードぱいそんすりーえんじにあにんていきそしけんもんだい パイソンスリーエンジニアニンテイキソシケンモンダイ び−／ぷらうど ぱいそん／えん ビ−／プラウド パイソン／エン9784295016052内容紹介適切な解説で合格をサポート。受験者必携の公式問題集。協会プラチナ認定の著者陣による執筆、協会監修により厳選された良問集。※本データはこの商品が発売された時点の情報です。目次Pythonの特徴/テキストと数の操作/リストの操作/判定と繰り返し/関数/その他コレクションの操作/モジュール/ファイル入出力/例外処理/クラスとオブジェクトの操作/標準ライブラリ/Python仮想環境とサードパーティーパッケージの利用/総仕上げ問題 | 2,640円 |
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集／ビープラウド／Pythonエンジニア育成推進協会／ソキウス・ジャパン【3000円以上送料無料】 bookfan 1号店 楽天市場店 | 著者ビープラウド(著) Pythonエンジニア育成推進協会(監修) ソキウス・ジャパン(編)出版社インプレス発売日2023年03月ISBN9784295016052ページ数214Pキーワードぱいそんすりーえんじにあにんていきそしけんもんだい パイソンスリーエンジニアニンテイキソシケンモンダイ び−／ぷらうど ぱいそん／えん ビ−／プラウド パイソン／エン9784295016052内容紹介適切な解説で合格をサポート。受験者必携の公式問題集。協会プラチナ認定の著者陣による執筆、協会監修により厳選された良問集。※本データはこの商品が発売された時点の情報です。目次Pythonの特徴/テキストと数の操作/リストの操作/判定と繰り返し/関数/その他コレクションの操作/モジュール/ファイル入出力/例外処理/クラスとオブジェクトの操作/標準ライブラリ/Python仮想環境とサードパーティーパッケージの利用/総仕上げ問題 | 2,640円 |
 Architecture Patterns with Python Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices【電子書籍】[ Harry Percival ] 楽天Kobo電子書籍ストア | ＜p＞As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward.＜/p＞ ＜p＞With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexityーand get the most value out of their test suites.＜/p＞ ＜p＞Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include:＜/p＞ ＜ul＞ ＜li＞Dependency inversion and its links to ports and adapters (hexagonal/clean architecture)＜/li＞ ＜li＞Domain-driven design’s distinction between Entities, Value Objects, and Aggregates＜/li＞ ＜li＞Repository and Unit of Work patterns for persistent storage＜/li＞ ＜li＞Events, commands, and the message bus＜/li＞ ＜li＞Command-query responsibility segregation (CQRS)＜/li＞ ＜li＞Event-driven architecture and reactive microservices＜/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。 | 3,890円 |
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集 ビープラウド/著 Pythonエンジニア育成推進協会/監修 ソキウス・ジャパン/編 ドラマ×プリンセスカフェ | ■ISBN:9784295016052★日時指定・銀行振込をお受けできない商品になりますタイトルPython 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集 ビープラウド/著 Pythonエンジニア育成推進協会/監修 ソキウス・ジャパン/編ふりがなぱいそんすり−えんじにあにんていきそしけんもんだいしゆうPYTHON/3/えんじにあ/にんてい/きそ/しけん/もんだいしゆうぱいそんい−でい−きそしけんこうしきもんだいしゆうPYTHON/ED/きそ/しけん/こうしき/もんだいし発売日202303出版社インプレスISBN9784295016052大きさ214P 21cm著者名ビープラウド/著 Pythonエンジニア育成推進協会/監修 ソキウス・ジャパン/編 | 2,640円 |
 Edge Computing with Python End-to-end Edge Applications, Python Tools and Techniques, Edge Architectures, and AI Benefits (English Edition)【電子書籍】[ Abhinandan Bhadauria ] 楽天Kobo電子書籍ストア | ＜p＞The success of IoT and Industry 4.0 depends on edge computing and better network performance. The book, ‘Edge Computing with Python,’ intends to provide a fully-connected embedded environment in which readers can experience the applications of edge computing and IoT in a professional context. In this book, readers will learn what edge computing is, what its possible applications are, and how advantageous it is. This book provides thorough instructions for using Python to build every potential edge application. The book begins by configuring the programming environment with tools like VS Code, Python, and several popular libraries like SciPy, NumPy, and Pandas. Then, the book explains gaining access to IO devices, data handling, data storage, cloud connectivity, and hosting ready and pre-trained machine learning models step by step. The book delves into sophisticated ideas such as Docker Containers, MQTT, and FIWARE and how one can use them to construct Edge applications. In addition, the book details the Siemens Edge computing platform and how to use it for rapidly developing Edge applications. After reading this book, knowledge of Edge Computing's architecture, its benefits, and drawbacks will give readers a competitive advantage in the market.＜/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。 | 1,597円 |
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集[本/雑誌] (徹底攻略) / ビープラウド/著 Pythonエンジニア育成推進協会/監修 ソキウス・ジャパン/編 ネオウィング 楽天市場店 | ご注文前に必ずご確認ください＜商品説明＞適切な解説で合格をサポート。受験者必携の公式問題集。協会プラチナ認定の著者陣による執筆、協会監修により厳選された良問集。＜収録内容＞Pythonの特徴テキストと数の操作リストの操作判定と繰り返し関数その他コレクションの操作モジュールファイル入出力例外処理クラスとオブジェクトの操作標準ライブラリPython仮想環境とサードパーティーパッケージの利用総仕上げ問題＜商品詳細＞商品番号：NEOBK-2837052Bee Plow Do / Cho Python Engineer Ikusei Suishin Kyokai / Kanshu So Kiu Su Japan / Hen / Python 3 Engineer Nintei ＜Kiso Shiken＞ Mondai Shu PythonED Kiso Shiken Koshiki Mondai Shu (Tettei Koryaku)メディア：本/雑誌重量：332g発売日：2023/03JAN：9784295016052Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集[本/雑誌] (徹底攻略) / ビープラウド/著 Pythonエンジニア育成推進協会/監修 ソキウス・ジャパン/編2023/03発売 | 2,640円 |
 Mastering Geospatial Analysis with Python Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter【電子書籍】[ Silas Toms ] 楽天Kobo電子書籍ストア | ＜p＞Explore GIS processing and learn to work with various tools and libraries in Python. About This Book ? Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas ? Leverage new ArcGIS API to process geospatial data for the cloud. ? Explore various Python geospatial web and machine learning frameworks. Who This Book Is For The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3. What You Will Learn ? Manage code libraries and abstract geospatial analysis techniques using Python 3. ? Explore popular code libraries that perform specific tasks for geospatial analysis. ? Utilize code libraries for data conversion, data management, web maps, and REST API creation. ? Learn techniques related to processing geospatial data in the cloud. ? Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. In Detail Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. Style and approach The book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.＜/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。 | 4,993円 |
 Mastering spaCy An end-to-end practical guide to implementing NLP applications using the Python ecosystem【電子書籍】[ Duygu Altinok ] 楽天Kobo電子書籍ストア | ＜p＞Build end-to-end industrial-strength NLP models using advanced morphological and syntactic features in spaCy to create real-world applications with ease Key Features ? Gain an overview of what spaCy offers for natural language processing ? Learn details of spaCy's features and how to use them effectively ? Work through practical recipes using spaCy Book Description spaCy is an industrial-grade, efficient NLP Python library. It offers various pre-trained models and ready-to-use features. Mastering spaCy provides you with end-to-end coverage of spaCy's features and real-world applications. You'll begin by installing spaCy and downloading models, before progressing to spaCy's features and prototyping real-world NLP apps. Next, you'll get familiar with visualizing with spaCy's popular visualizer displaCy. The book also equips you with practical illustrations for pattern matching and helps you advance into the world of semantics with word vectors. Statistical information extraction methods are also explained in detail. Later, you'll cover an interactive business case study that shows you how to combine all spaCy features for creating a real-world NLP pipeline. You'll implement ML models such as sentiment analysis, intent recognition, and context resolution. The book further focuses on classification with popular frameworks such as TensorFlow's Keras API together with spaCy. You'll cover popular topics, including intent classification and sentiment analysis, and use them on popular datasets and interpret the classification results. By the end of this book, you'll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps. What you will learn ? Install spaCy, get started easily, and write your first Python script ? Understand core linguistic operations of spaCy ? Discover how to combine rule-based components with spaCy statistical models ? Become well-versed with named entity and keyword extraction ? Build your own ML pipelines using spaCy ? Apply all the knowledge you've gained to design a chatbot using spaCy Who this book is for This book is for data scientists and machine learners who want to excel in NLP as well as NLP developers who want to master spaCy and build applications with it. Language and speech professionals who want to get hands-on with Python and spaCy and software developers who want to quickly prototype applications with spaCy will also find this book helpful. Beginner-level knowledge of the Python programming language is required to get the most out of this book. A beginner-level understanding of linguistics such as parsing, POS tags, and semantic similarity will also be useful.＜/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 |
 Python Essentials for Dummies PYTHON ESSENTIALS FOR DUMMIES [ John C Shovic ] 楽天ブックス | PYTHON ESSENTIALS FOR DUMMIES John C Shovic Alan Simpson FOR DUMMIES2024 Paperback English ISBN：9781394263479 洋書 Computers & Science（コンピューター＆科学） Computers | 2,692円 |
 Python Essentials For Dummies【電子書籍】[ John C. Shovic ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞The no-nonsense way to get started coding in the Python programming language＜/strong＞＜/p＞ ＜p＞＜em＞Python Essentials For Dummies＜/em＞ is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers.＜/p＞ ＜ul＞ ＜li＞Get a quick and thorough intro to the basic concepts of coding in Python＜/li＞ ＜li＞Review what you've already learned or pick up essential new skills＜/li＞ ＜li＞Create websites, software, machine learning, and automation for school or work＜/li＞ ＜li＞Keep this concise reference book handy for jogging your memory as you code＜/li＞ ＜/ul＞ ＜p＞This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.＜/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。 | 1,495円 |
 Programa??o Python E Aprendizado De M?quina【電子書籍】[ Jideon F Marques ] 楽天Kobo電子書籍ストア | ＜p＞Existem muitas tarefas diferentes que a linguagem Python pode ajud?-lo a concluir. Algumas das diferentes op??es com as quais voc? pode trabalhar incluem: 1.Programando qualquer um dos CGI que voc? precisa em seus aplicativos da web. 2.Aprendendo a construir seu pr?prio leitor de RSS 3.Trabalhando com uma variedade de arquivos. 4.Criando um calend?rio com a ajuda de HTML 5.Ser capaz de ler e escrever no MySQL 6.Ser capaz de ler e escrever no PostgreSQL Os benef?cios de trabalhar com Python Quando se trata de trabalhar com a linguagem Python, voc? descobrir? que h? muitos benef?cios com esse tipo de linguagem de codifica??o. Ele ? capaz de ajud?-lo a concluir quase qualquer tipo de processo de codifica??o que voc? desejar e ainda pode ter um pouco da facilidade de uso que voc? procura. Vamos dar uma olhada r?pida em alguns dos benef?cios que v?m com esse tipo de linguagem de codifica??o abaixo: ?Iniciantes podem aprender rapidamente. Se voc? sempre quis trabalhar com uma linguagem de codifica??o, mas tem se preocupado com a quantidade de trabalho que ser? necess?ria ou se ser? muito dif?cil de lidar, o Python ? a melhor op??o. ? simples de usar e foi projetado com o iniciante em mente. ?Tem muito poder para desfrutar. Mesmo que o Python seja f?cil o suficiente para um iniciante aprender a usar, isso n?o significa que voc? ficar? limitado ao poder que pode obter com alguns de seus c?digos. Voc? descobrir? que a linguagem Python tem o poder e muito mais que voc? precisa para realizar tantos projetos. ?Ele pode trabalhar com outras linguagens de codifica??o. Quando come?armos a trabalhar em ci?ncia de dados e aprendizado de m?quina, voc? descobrir? que isso ? realmente importante. Existem alguns projetos em que voc? precisar? combinar Python com outra linguagem, e ? mais f?cil de fazer do que voc? imagina!＜/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。 | 1,584円 |
 Python Em 30 Dias【電子書籍】[ Jideon Francisco Marques ] 楽天Kobo電子書籍ストア | ＜p＞Voc? pode ter passado por v?rios tutoriais antes de chegar a este livro. Eu tamb?m tenho. Tentei pesquisar o que os especialistas distribu?ram aos iniciantes que est?o ansiosos para aprender Python, e estou desapontado em nome deles. Qual ? a melhor maneira de aprender Python? N?o h? melhor maneira. Pelo menos, de qualquer maneira, n?o deve fazer voc? se sentir como se estivesse mancando montanha acima em um saco! Python ? uma linguagem de programa??o de computador cr?tica para aprender porque ? amplamente usada em quase tudo AI, ML e automa??o. Espere, estes s?o praticamente onde tudo est? indo.＜/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。 | 1,672円 |
 Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models【電子書籍】[ Vijaya Kumar Suda ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labeling＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Generate labels for regression in scenarios with limited training data＜/li＞＜li＞Apply generative AI and large language models (LLMs) to explore and label text data＜/li＞＜li＞Leverage Python libraries for image, video, and audio data analysis and data labeling＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an advantage, it’s a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution. With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively. By the end of this book, you’ll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Excel in exploratory data analysis (EDA) for tabular, text, audio, video, and image data＜/li＞＜li＞Understand how to use Python libraries to apply rules to label raw data＜/li＞＜li＞Discover data augmentation techniques for adding classification labels＜/li＞＜li＞Leverage K-means clustering to classify unsupervised data＜/li＞＜li＞Explore how hybrid supervised learning is applied to add labels for classification＜/li＞＜li＞Master text data classification with generative AI＜/li＞＜li＞Detect objects and classify images with OpenCV and YOLO＜/li＞＜li＞Uncover a range of techniques and resources for data annotation＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for machine learning engineers, data scientists, and data engineers who want to learn data labeling methods and algorithms for model training. Data enthusiasts and Python developers will be able to use this book to learn data exploration and annotation using Python libraries. Basic Python knowledge is beneficial but not necessary to get started.＜/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 |
 【3980円以上送料無料】Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集／ビープラウド／著 Pythonエンジニア育成推進協会／監修 ソキウス・ジャパン／編 トップカルチャーBOOKSTORE | 徹底攻略 インプレス コンピュータ要員 214P 21cm パイソン スリ− エンジニア ニンテイ キソ シケン モンダイシユウ PYTHON／3／エンジニア／ニンテイ／キソ／シケン／モンダイシユウ パイソン イ−デイ− キソ シケン コウシキ モンダイシユウ PYTHON／ED／キソ／シケン／コウシキ／モンダイシ ビ−／プラウド パイソン／エンジニア／イクセイ／スイシン／キヨウカイ ソキウス／ジヤパン | 2,640円 |
 Data Visualization with Python Exploring Matplotlib, Seaborn, and Bokeh for Interactive Visualizations (English Edition)【電子書籍】[ Dr. Pooja ] 楽天Kobo電子書籍ストア | ＜p＞Python is a popular programming language for data visualization due to its rich ecosystem of libraries and tools. If you're interested in delving into data visualization in Python, this book is an excellent resource to begin your journey. With Matplotlib, you'll master the art of creating a wide range of charts, plots, and graphs. From basic line plots to complex 3D visualizations, you'll learn how to transform raw data into engaging visuals that tell compelling stories. Dive into Seaborn, a high-level library built on top of Matplotlib, and discover how to effortlessly create beautiful and informative statistical visualizations effortlessly. From heatmaps to distribution plots, you'll unleash the full potential of Seaborn in your data analysis endeavors. Lastly, you will learn how to unleash the true potential of Bokeh and create compelling data visualizations that allow users to explore and interact with data dynamically. By the end of the book, you will have acquired the knowledge and skills necessary to create a diverse range of visualizations proficiently.＜/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。 | 2,132円 |
 Data Augmentation with Python Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data【電子書籍】[ Duc Haba ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Boost your AI and generative AI accuracy using real-world datasets with over 150 functional object-oriented methods and open source libraries Purchase of the print or Kindle book includes a free PDF eBook＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Explore beautiful, customized charts and infographics in full color＜/li＞＜li＞Work with fully functional OO code using open source libraries in the Python Notebook for each chapter＜/li＞＜li＞Unleash the potential of real-world datasets with practical data augmentation techniques＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Data is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset. The book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image classification and segmentation. You’ll also review eight image augmentation open source libraries, write object-oriented programming (OOP) wrapper functions in Python Notebooks, view color image augmentation effects, analyze safe levels and biases, as well as explore fun facts and take on fun challenges. As you advance, you’ll discover over 20 character and word techniques for text augmentation using two real-world datasets and excerpts from four classic books. The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have real-world data, open source libraries, amazing custom plots, and Python Notebook, along with fun facts and challenges. By the end of this book, you will be proficient in image, text, audio, and tabular data augmentation techniques.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Write OOP Python code for image, text, audio, and tabular data＜/li＞＜li＞Access over 150,000 real-world datasets from the Kaggle website＜/li＞＜li＞Analyze biases and safe parameters for each augmentation method＜/li＞＜li＞Visualize data using standard and exotic plots in color＜/li＞＜li＞Discover 32 advanced open source augmentation libraries＜/li＞＜li＞Explore machine learning models, such as BERT and Transformer＜/li＞＜li＞Meet Pluto, an imaginary digital coding companion＜/li＞＜li＞Extend your learning with fun facts and fun challenges＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for data scientists and students interested in the AI discipline. Advanced AI or deep learning skills are not required; however, knowledge of Python programming and familiarity with Jupyter Notebooks are essential to understanding the topics covered in 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。 | 3,874円 |
 Hands-On Web Scraping with Python Extract quality data from the web using effective Python techniques【電子書籍】[ Anish Chapagain ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Work through practical examples to unlock the full potential of web scraping with Python and gain valuable insights from high-quality data＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Build an initial portfolio of web scraping projects with detailed explanations＜/li＞＜li＞Grasp Python programming fundamentals related to web scraping and data extraction＜/li＞＜li＞Acquire skills to code web scrapers, store data in desired formats, and employ the data professionally＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Web scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience. Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning. This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Master web scraping techniques to extract data from real-world websites＜/li＞＜li＞Implement popular web scraping libraries such as requests, lxml, Scrapy, and pyquery＜/li＞＜li＞Develop advanced skills in web scraping, APIs, PDF extraction, regex, and machine learning＜/li＞＜li＞Analyze and visualize data with Pandas and Plotly＜/li＞＜li＞Develop a practical portfolio to demonstrate your web scraping skills＜/li＞＜li＞Understand best practices and ethical concerns in web scraping and data extraction＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for beginners who want to learn web scraping and data extraction using Python. No prior programming knowledge is required, but a basic understanding of web-related concepts such as websites, browsers, and HTML is assumed. If you enjoy learning by doing and want to build a portfolio of web scraping projects and delve into data-related studies and application, then this book is tailored for your needs.＜/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。 | 3,874円 |
 Essentials of Compilation: An Incremental Approach in Python ESSENTIALS OF COMPILATION [ Jeremy G. Siek ] 楽天ブックス | ESSENTIALS OF COMPILATION Jeremy G. Siek MIT PR2023 Hardcover English ISBN：9780262048248 洋書 Computers & Science（コンピューター＆科学） Computers | 14,960円 |
 Estruturas de Dados Domine as pr?ticas essenciais em C, Java, C#, Python e JavaScript【電子書籍】[ Thiago Leite e Carvalho ] 楽天Kobo電子書籍ストア | ＜p＞As estruturas de dados s?o a base para a constru??o de algoritmos eficientes que possibilitam a constru??o sistemas computacionais de alta performance. Elas permitem o armazenamento e manipula??o de dados e s?o essenciais para a solu??o de problemas complexos em diversas ?reas em evid?ncia: intelig?ncia artificial, processamento de imagens, ci?ncia de dados, Machine Learning e Engenharia de Software. Neste livro, Thiago Leite desmistifica as estruturas de dados cl?ssicas, que s?o apresentadas nas principais linguagens do mercado: C, Java, C#, Python e JavaScript. Do b?sico ao avan?ado, voc? conhecer? conceitos e pr?ticas de cada ED de forma objetiva, com exerc?cios e resolu??es para complementar seu aprendizado. Com esse conhecimento, voc? saber? escolher quais as estruturas de dados mais adequadas e eficientes para cada contexto espec?fico no seu dia a dia em desenvolvimento de software e assim conseguir? criar a melhor solu??o para seus problemas.＜/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。 | 1,800円 |
 Pretrain Vision and Large Language Models in Python End-to-end techniques for building and deploying foundation models on AWS【電子書籍】[ Emily Webber ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Master the art of training vision and large language models with conceptual fundaments and industry-expert guidance. Learn about AWS services and design patterns, with relevant coding examples＜/b＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to develop, train, tune, and apply foundation models with optimized end-to-end pipelines＜/li＞＜li＞Explore large-scale distributed training for models and datasets with AWS and SageMaker examples＜/li＞＜li＞Evaluate, deploy, and operationalize your custom models with bias detection and pipeline monitoring＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization. With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you’ll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models. You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines. By the end of this book, you’ll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future.＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Find the right use cases and datasets for pretraining and fine-tuning＜/li＞＜li＞Prepare for large-scale training with custom accelerators and GPUs＜/li＞＜li＞Configure environments on AWS and SageMaker to maximize performance＜/li＞＜li＞Select hyperparameters based on your model and constraints＜/li＞＜li＞Distribute your model and dataset using many types of parallelism＜/li＞＜li＞Avoid pitfalls with job restarts, intermittent health checks, and more＜/li＞＜li＞Evaluate your model with quantitative and qualitative insights＜/li＞＜li＞Deploy your models with runtime improvements and monitoring pipelines＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you’re a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.＜/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 |
 Data Science with Jupyter Master Data Science skills with easy-to-follow Python examples【電子書籍】[ Prateek Gupta ] 楽天Kobo電子書籍ストア | ＜p＞Modern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tools such as Jupyter Notebook in order to succeed in the role of a data scientist.The book starts with a brief introduction to the world of data science and the opportunities you may come across along with an overview of the key topics covered in the book. You will learn how to setup Anaconda installation which comes with Jupyter and pre installed Python packages. Before diving in to several supervised, unsupervised and other machine learning techniques, you’ll learn how to use basic data structures, functions, libraries and packages required to import, clean, visualize and process data. Several machine learning techniques such as regression, classification, clustering, time-series etc have been explained with the use of practical examples and by comparing the performance of various models.By the end of the book, you will come across a few case studies to put your knowledge to practice and solve real-life business problems such as building a movie recommendation engine, classifying spam messages, predicting the ability of a borrower to repay loan on time and time series forecasting of housing prices. Remember to practice additional examples provided in the code bundle of the book to master these techniques.＜/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。 | 1,597円 |
 Learning Genetic Algorithms with Python Empower the performance of Machine Learning and AI models with the capabilities of a powerful search algorithm (English Edition)【電子書籍】[ Ivan Gridin ] 楽天Kobo電子書籍ストア | ＜p＞Genetic algorithms are one of the most straightforward and powerful techniques used in machine learning. This book ‘Learning Genetic Algorithms with Python’ guides the reader right from the basics of genetic algorithms to its real practical implementation in production environments. Each of the chapters gives the reader an intuitive understanding of each concept. You will learn how to build a genetic algorithm from scratch and implement it in real-life problems. Covered with practical illustrated examples, you will learn to design and choose the best model architecture for the particular tasks. Cutting edge examples like radar and football manager problem statements, you will learn to solve high-dimensional big data challenges with ways of optimizing genetic algorithms.＜/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。 | 1,597円 |
 Learn AI with Python Explore Machine Learning and Deep Learning techniques for Building Smart AI Systems Using Scikit-Learn, NLTK, NeuroLab, and Keras (English Edition)【電子書籍】[ Gaurav Leekha ] 楽天Kobo電子書籍ストア | ＜p＞The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications.This book introduces you to artificial intelligence and walks you through the process of establishing an AI environment on a variety of platforms. It dives into machine learning models and various predictive modeling techniques, including classification, regression, and clustering. Additionally, it provides hands-on experience with logic programming, ASR, neural networks, and natural language processing through real-world examples and fully functional Python implementation. Finally, the book deals with profound models of learning such as R-CNN and YOLO. Object detection in images is also explained in detail using Convolutional Neural Networks (CNNs), which are also explained.By the end of this book, you will have a firm grasp of machine learning and deep learning techniques, as well as a steered methodology for formulating and solving related problems.＜/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。 | 1,597円 |
 A Journey to Core Python Experience the Applications of Tuples, Dictionary, Lists, Operators, Loops, Indexing, Slicing, and Matrices【電子書籍】[ Mr. Girish Kumar ] 楽天Kobo電子書籍ストア | ＜p＞The book offers to teach a novice programmer the fundamentals of Python programming from the ground up. The book provides a brief history of Python, followed by exploring Python's fundamental concepts, features, and applications in detail.The book explains Python identifiers, keywords, variables, and assignments, as well as basic operators and decision-making statements. This book covers repetitive code, strings and integers (dictionaries), functions and modules (files), exception handling, and object-oriented programming in all of its variants. The book explains concepts with illustrations, thus making it simple for even the most unskilled reader to grasp the basics of the code execution flow.By the end of this book, you will have a firm grasp of all of Python's programming ideas. Additionally, it will help you to prepare for any upcoming job interviews with your comprehensive Python understanding.＜/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。 | 1,597円 |
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集 ぐるぐる王国 楽天市場店 | ビープラウド／著 Pythonエンジニア育成推進協会／監修 ソキウス・ジャパン／編徹底攻略本詳しい納期他、ご注文時はご利用案内・返品のページをご確認ください出版社名インプレス出版年月2023年03月サイズ214P 21cmISBNコード9784295016052コンピュータ 資格試験 その他情報処理試験商品説明Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集パイソン スリ- エンジニア ニンテイ キソ シケン モンダイシユウ PYTHON／3／エンジニア／ニンテイ／キソ／シケン／モンダイシユウ パイソン イ-デイ- キソ シケン コウシキ モンダイシユウ PYTHON／ED／キソ／...※ページ内の情報は告知なく変更になることがあります。あらかじめご了承ください登録日2023/03/08 | 2,640円 |
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集 ぐるぐる王国FS 楽天市場店 | ビープラウド／著 Pythonエンジニア育成推進協会／監修 ソキウス・ジャパン／編徹底攻略本詳しい納期他、ご注文時はご利用案内・返品のページをご確認ください出版社名インプレス出版年月2023年03月サイズ214P 21cmISBNコード9784295016052コンピュータ 資格試験 その他情報処理試験Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集パイソン スリ- エンジニア ニンテイ キソ シケン モンダイシユウ PYTHON／3／エンジニア／ニンテイ／キソ／シケン／モンダイシユウ パイソン イ-デイ- キソ シケン コウシキ モンダイシユウ PYTHON／ED／キソ／...※ページ内の情報は告知なく変更になることがあります。あらかじめご了承ください登録日2023/03/08 | 2,640円 |
 Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集 ぐるぐる王国DS 楽天市場店 | ビープラウド／著 Pythonエンジニア育成推進協会／監修 ソキウス・ジャパン／編徹底攻略本詳しい納期他、ご注文時はご利用案内・返品のページをご確認ください出版社名インプレス出版年月2023年03月サイズ214P 21cmISBNコード9784295016052コンピュータ 資格試験 その他情報処理試験Python 3エンジニア認定〈基礎試験〉問題集 PythonED基礎試験公式問題集パイソン スリ- エンジニア ニンテイ キソ シケン モンダイシユウ PYTHON／3／エンジニア／ニンテイ／キソ／シケン／モンダイシユウ パイソン イ-デイ- キソ シケン コウシキ モンダイシユウ PYTHON／ED／キソ／...※ページ内の情報は告知なく変更になることがあります。あらかじめご了承ください登録日2023/03/08 | 2,640円 |
 洋書 Python Essentials - A Rapid Guide to the Fundamental Features of Python Glomarket | *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。 ・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。 ・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。 ・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。 ・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文 | 9,895円 |
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洋書 Paperback, Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem Glomarket | *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。 ・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。 ・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。 ・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。 ・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。 | 8,591円 |
 Modern Time Series Forecasting with Python Explore industry-ready time series forecasting using modern machine learning and deep learning【電子書籍】[ Manu Joseph ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning concepts＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Explore industry-tested machine learning techniques used to forecast millions of time series＜/li＞＜li＞Get started with the revolutionary paradigm of global forecasting models＜/li＞＜li＞Get to grips with new concepts by applying them to real-world datasets of energy forecasting＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞We live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML. This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You’ll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you’ll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability. By the end of this book, you’ll be able to build world-class time series forecasting systems and tackle problems in the real world.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Find out how to manipulate and visualize time series data like a pro＜/li＞＜li＞Set strong baselines with popular models such as ARIMA＜/li＞＜li＞Discover how time series forecasting can be cast as regression＜/li＞＜li＞Engineer features for machine learning models for forecasting＜/li＞＜li＞Explore the exciting world of ensembling and stacking models＜/li＞＜li＞Get to grips with the global forecasting paradigm＜/li＞＜li＞Understand and apply state-of-the-art DL models such as N-BEATS and Autoformer＜/li＞＜li＞Explore multi-step forecasting and cross-validation strategies＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞The book is for data scientists, data analysts, machine learning engineers, and Python developers who want to build industry-ready time series models. Since the book explains most concepts from the ground up, basic proficiency in Python is all you need. Prior understanding of machine learning or forecasting will help speed up your learning. For experienced machine learning and forecasting practitioners, this book has a lot to offer in terms of advanced techniques and traversing the latest research frontiers in time series forecasting.＜/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。 | 4,563円 |