Sebastian Raschka

Vahid Mirjalili

福島真太朗

株式会社クイープ

機械学習本ベストセラーの第2版！ 著者陣の経験に基づく洞察とより専門的な知識を学べる 機械学習の各コンセプトについて、理論や数学的背景、Pythonコーディングの実際を網羅的に解説。初期の機械学習アルゴリズムから、ニューラルネットワーク（CNN/RNN）までの手法を取り上げます。Python関連ライブラリとしてはscikit-learnやTensorFlowなどを使用。第2版では、第1版への読者のフィードバックを随所に反映し、ライブラリの更新に対応。13章以降はほとんど新規の書き下ろしです。本書は、機械学習を本格的に理解・実践するのに不可欠な一冊となっています。 ◎本書は『Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition』の翻訳書です。 ◎微積分/線形代数、Pythonの文法、データ分析用ライブラリについてある程度理解している必要があります。 ■「はじめに」より抜粋 機械学習の実践的なサンプルコードを調べて試してみるのは、この分野に飛び込むのにうってつけの方法である。幅広い概念が明確になるからだ。本書では、Python言語と機械学習ライブラリを使って機械学習の実装を体験してみるほか、アルゴリズムの背後にある数学的な概念を紹介する。それらの概念は、機械学習をうまく利用するために欠かせないものである。したがって、本書は単なる実用書ではない。本書では、機械学習の概念を必要に応じて詳しく説明する。 発行：インプレス

内容詳細

[第2版]Python 機械学習プログラミング 達人データサイエンティストによる理論と実践 (impress top gear)

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.About This Book* Second edition of the bestselling book on Machine Learning* A practical approach to key frameworks in data science, machine learning, and deep learning* Use the most powerful Python libraries to implement machine learning and deep learning* Get to know the best practices to improve and optimize your machine learning systems and algorithmsWho This Book Is ForIf you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will Learn* Understand the key frameworks in data science, machine learning, and deep learning* Harness the power of the latest Python open source libraries in machine learning* Explore machine learning techniques using challenging real-world data * Master deep neural network implementation using the TensorFlow library* Learn the mechanics of classification algorithms to implement the best tool for the job* Predict continuous target outcomes using regression analysis* Uncover hidden patterns and structures in data with clustering* Delve deeper into textual and social media data using sentiment analysisIn DetailMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.Style and ApproachPython Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.

著者：Vahid Mirjaliliの検索結果

[第2版]Python 機械学習プログラミング達人データサイエンティストによる理論と実践 (impress top gear)

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition)

著者：Vahid Mirjaliliの検索結果

[第2版]Python 機械学習プログラミング 達人データサイエンティストによる理論と実践 (impress top gear)

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition)

[第2版]Python 機械学習プログラミング達人データサイエンティストによる理論と実践 (impress top gear)