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Introduction to machine learning wit...

Guido, Sarah,

Introduction to machine learning with Python :a guide for data scientists /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Introduction to machine learning with Python :Andreas C. Müller and Sarah Guido.
Reminder of title:	a guide for data scientists /
remainder title:	Machine learning with Python
Author:	Müller, Andreas C.,
other author:	Guido, Sarah,
Published:	Sebastopol, CA :O'Reilly Media, Inc.,2016.
Description:	xii, 384 p. :ill. ;24 cm.
Notes:	Includes index.
Subject:	Data mining.
ISBN:	9781449369415 (pbk.) :

Introduction to machine learning with Python :a guide for data scientists /
Müller, Andreas C.,

Introduction to machine learning with Python :a guide for data scientists /Machine learning with PythonAndreas C. Müller and Sarah Guido. - 1st ed. - Sebastopol, CA :O'Reilly Media, Inc.,2016. - xii, 384 p. :ill. ;24 cm.

Includes index.

Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Modelevaluation and improvement -- Algorithm chains and pipelines -- Working withtext data -- Wrapping up.

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to largecompanies with extensive research teams. If you use Python, even as abeginner, this book will teach you practical ways to build your own machinelearning solutions. With all the data available today, machine learningapplications are limited only by your imagination. You'll learn the stepsnecessary to create a successful machine-learning application with Pythonand the scikit-learn library. Authors Andreas Müller and Sarah Guido focuson the practical aspects of using machine learning algorithms, rather thanthe math behind them. Familiarity with the NumPy and matplotlib librarieswill help you get even more from this book. --

ISBN: 9781449369415 (pbk.) :NT$1583

LCCN: 2017394288Subjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.73.P98 / M85 2016

Dewey Class. No.: 005.133

Introduction to machine learning with Python :a guide for data scientists /
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245 1 0 $a Introduction to machine learning with Python : $b a guide for data scientists / $c Andreas C. Müller and Sarah Guido.
246 3 0 $a Machine learning with Python
250 $a 1st ed.
260 $a Sebastopol, CA : $b O'Reilly Media, Inc., $c 2016.
300 $a xii, 384 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
505 0 $a Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Modelevaluation and improvement -- Algorithm chains and pipelines -- Working withtext data -- Wrapping up.
520 $a Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to largecompanies with extensive research teams. If you use Python, even as abeginner, this book will teach you practical ways to build your own machinelearning solutions. With all the data available today, machine learningapplications are limited only by your imagination. You'll learn the stepsnecessary to create a successful machine-learning application with Pythonand the scikit-learn library. Authors Andreas Müller and Sarah Guido focuson the practical aspects of using machine learning algorithms, rather thanthe math behind them. Familiarity with the NumPy and matplotlib librarieswill help you get even more from this book. -- $c Provided by publisher.
650 0 $a Data mining. $3 184440
650 0 $a Programming languages (Electronic computers) $3 184586
650 0 $a Python (Computer program language) $3 215247
700 1 $a Guido, Sarah, $e author. $3 913740