Record:   Prev Next
作者 Müller, Andreas C., author
書名 Introduction to machine learning with Python : a guide for data scientists / Andreas C. Müller and Sarah Guido
出版項 Sebastopol, CA : O'Reilly Media, Inc., 2016
國際標準書號 9781449369415 (paperback)
1449369413 (paperback)
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 統計所圖書館圖書區I  QA76.73.P98 M855 2017    到期 10-29-19    30570000138848
 人社中心  QA76.73.P98 M85 2018    到期 02-12-20    30560400654163
版本 First edition
說明 xii, 384 pages : illustrations ; 24 cm
text txt rdacontent
still image sti rdacontent
unmediated n rdamedia
volume nc rdacarrier
附註 Includes index
Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up
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. -- Provided by publisher
Lib. has: 4th release, 2018. ISSP
主題 Python (Computer program language)
Programming languages (Electronic computers)
Data mining
Data mining. fast (OCoLC)fst00887946
Programming languages (Electronic computers) fast (OCoLC)fst01078704
Python (Computer program language) fast (OCoLC)fst01084736
Maschinelles Lernen gnd
Alt Author Guido, Sarah, author
Alt Title Machine learning with Python
Record:   Prev Next