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<図書>
Introduction to machine learning with Python : a guide for data scientists

責任表示 Andreas C. Müller and Sarah Guido
データ種別 図書
1st ed., 4th release
出版者 Sebastopol, CA : O'Reilly
出版年 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

: pbk 理系図1F 開架 007.64/Mu 29 2018
130012023002172
: pbk 筑紫図 1B 洋000-099 007.64/Mu 29 2018
160012019000142

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
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

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