02678nam a22004697a 4500 19777557 OSt 20260313074442.0 260313b |||||||| |||| 00| 0 eng d170710t20162017caua 001 0 eng d 2017394288 9781449369415 19777557 (OCoLC)895728667 eng KMU rda lccopycat QA76.73.P98 M85 2016 Müller, Andreas C., author. Introduction to machine learning with Python : a guide for data scientists / Andreas C. Müller and Sarah Guido. Machine learning with Python First edition. Sebastopol, CA : O'Reilly Media, Inc., 2016. ©2017 xii, 376 pages : illustrations ; 24 cm text txt rdacontent still image sti rdacontent unmediated n rdamedia volume nc rdacarrier 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. 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 Guido, Sarah, author. 7 cbc copycat 2 ncip 20 y-gencatlg lcc BK 0 2603 2603 0 0 lcc 0 0 NFIC CPL CPL OA 2026-03-13 Purchase 0 QA76.73.P98 Mul 301425 2026-05-20 00:00:00 2026-03-13 BK