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Statistics for machine learning :tec...

Dangeti, Pratap,

Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistics for machine learning :Pratap Dangeti.
Reminder of title:	techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
Author:	Dangeti, Pratap,
Published:	Birmingham, UK :Packt Publishing ,2017.
Description:	v, 426 p. :ill., charts ;24 cm.
Notes:	Includes index.
Subject:	Big dataStatistical methods.
ISBN:	9781788295758 (pbk.) :

Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
Dangeti, Pratap,

Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /Pratap Dangeti. - Birmingham, UK :Packt Publishing ,2017. - v, 426 p. :ill., charts ;24 cm.

Includes index.

Chapter 1: Journey from Statistics to Machine Learning -- Chapter 2: Parallelism of Statistics and Machine Learning -- Chapter 3: Logistic Regression Versus Random Forest -- Chapter 4:Tree-Based Machine Learning Models -- Chapter 5: K-Nearest Neighbors and Naive Bayes -- Chapter 6: Support Vector Machines and Neural Networks -- Chapter 7: Recommendation Engines -- Chapter 8: Unsupervised Learning -- Chapter 9: Reinforcement Learning.

ISBN: 9781788295758 (pbk.) :$49.99

LCCN: cam a2200193 a 450 Subjects--Topical Terms:

716966
Big data
--Statistical methods.

LC Class. No.: QA76.73.P98

Statistics for machine learning :techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R /
LDR:01133nam a2200205 a 4500 001 571080
003 OCoLC
005 20200809215511.0
008 200908s2017 enka 001 0 eng d
010 9 8 $a cam a2200193 a 450
020 $a 9781788295758 (pbk.) : $c $49.99
020 $a 1788295757 (pbk.)
035 $a (OCoLC)1047686546
035 $a on1047686546
040 $a CNKUC $b eng $c CNKUC $d OCLCO $d OCLCF
050 4 $a QA76.73.P98
100 1 $a Dangeti, Pratap, $e author. $3 857948
245 1 0 $a Statistics for machine learning : $b techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R / $c Pratap Dangeti.
260 $a Birmingham, UK : $b Packt Publishing , $c 2017.
300 $a v, 426 p. : $b ill., charts ; $c 24 cm.
500 $a Includes index.
505 0 $a Chapter 1: Journey from Statistics to Machine Learning -- Chapter 2: Parallelism of Statistics and Machine Learning -- Chapter 3: Logistic Regression Versus Random Forest -- Chapter 4:Tree-Based Machine Learning Models -- Chapter 5: K-Nearest Neighbors and Naive Bayes -- Chapter 6: Support Vector Machines and Neural Networks -- Chapter 7: Recommendation Engines -- Chapter 8: Unsupervised Learning -- Chapter 9: Reinforcement Learning.
650 0 $a Big data $x Statistical methods. $3 716966
650 0 $a Machine learning. $3 188639
650 0 $a Python (Computer program language) $3 215247
650 0 $a R (Computer program language) $3 210846