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Introduction to machine learning wit...

Müller, Andreas C.

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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, : c2017.,
Description:	xii, 378 p. :ill. ;24 cm.
Notes:	Includes index.
Subject:	Python (Computer program language) -
ISBN:	9781449369415

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,c2017. - xii, 378 p. :ill. ;24 cm.

Includes index.

Introduction --

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. --

ISBN: 9781449369415UK39.99

LCCN: 2017394288Subjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98 / .M85 2017

Dewey Class. No.: 005.133

Introduction to machine learning with Python : = a guide for data scientists /
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005 20180629070109.0
008 180522s2017 caua 001 0 eng d
010 $a 2017394288
020 $a 9781449369415 $q (pbk.) : $c UK39.99
020 $a 1449369413 $q (pbk.)
020 $a 9781449369903 $q (ebk.)
020 $a 1449369901 $q (ebk.)
020 $a 9781449369408 $q (ebk.)
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050 0 0 $a QA76.73.P98 $b .M85 2017
082 0 4 $a 005.133 $2 23
100 1 $a Müller, Andreas C. $3 3272060
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 1 $a Machine learning with Python
250 $a 1st ed.
260 # $a Sebastopol, CA : $b O'Reilly Media, $c c2017.
300 $a xii, 378 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
505 0 # $t Introduction -- $t Supervised learning -- $t Unsupervised learning and preprocessing -- $t Representing data and engineering features -- $t Model evaluation and improvement -- $t Algorithm chains and pipelines -- $t Working with text data -- $t 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 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. -- $c Provided by publisher.
650 # 0 $a Python (Computer program language) $3 729789
650 # 0 $a Programming languages (Electronic computers) $3 606806
650 # 0 $a Data mining. $3 562972
700 1 # $a Guido, Sarah. $3 3272061
700 1 $a Muller, Andreas C. $3 3274107