<図書>
Introduction to machine learning with Python : a guide for data scientists
責任表示 | Andreas C. Müller and Sarah Guido |
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データ種別 | 図書 |
版 | 1st ed., 4th release |
出版情報 | Sebastopol, CA : O'Reilly , 2018, c2017 |
本文言語 | 英語 |
大きさ | xii, 384 p. : ill. ; 24 cm |
概要 | Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python,...even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you'll learn: Fundamental concepts and applications of machine learning, Advantages and shortcomings of widely used machine learning algorithms, How to represent data processed by machine learning, including which data aspects to focus on, Advanced methods for model evaluation and parameter tuning, The concept of pipelines for chaining models and encapsulating your workflow, Methods for working with text data, including text-specific processing techniques, Suggestions for improving your machine learning and data science skills Book jacket.続きを見る |
所蔵情報
状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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: pbk | 理系図1F 開架 | 007.64/Mu 29 | 2018 |
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130012023002172 |
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: pbk | 筑紫図 1B 000-399 | 007.64/Mu 29 | 2018 |
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160012019000142 |
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書誌詳細
一般注記 | Revision history for the first edition: first release(2016-09-22), second release(2017-01-13), third release(2017-06-09), Fourth release(2018-10-19) Includes index |
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著者標目 | *Müller, Andreas C. Guido, Sarah |
件 名 | LCSH:Machine learning |
書誌ID | 1001675789 |
ISBN | 9781449369415 |
NCID | BB2814852X |
巻冊次 | : pbk ; ISBN:9781449369415 |
登録日 | 2019.05.16 |
更新日 | 2019.05.16 |