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The unsupervised learning workshop /

Jones, Aaron.

The unsupervised learning workshop /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The unsupervised learning workshop // Aaron Jones, Christopher Kruger, and Benjamin Johnston.
作者:	Jones, Aaron.
其他作者:	Kruger, Christopher.
出版者:	Birmingham, UK :Packt, : 2020.,
面頁冊數:	x, 518 p. :ill. ; : 24 cm.;
附註:	Includes index.
標題:	Machine learning. -
ISBN:	9781800200708 (pbk.) :

The unsupervised learning workshop /
Jones, Aaron.

The unsupervised learning workshop /Aaron Jones, Christopher Kruger, and Benjamin Johnston. - Birmingham, UK :Packt,2020. - x, 518 p. :ill. ;24 cm.

Includes index.

Introduction to clustering -- Hierarchical clustering -- Neighborhood approaches and DBSCAN -- Dimensionality reduction techniques and PCA -- Autoencoders -- Distributed stochastic neighbor embedding -- Topic modeling -- Market basket analysis -- Hotspot analysis.

"With the help of engaging practical activities, The Unsupervised Learning Workshop teaches you how to apply unsupervised machine learning algorithms on enormous, cluttered datasets. You'll learn the best techniques and approaches and work on real-time datasets with this hands-on guide for beginners."--

ISBN: 9781800200708 (pbk.) :NT1113Subjects--Topical Terms:

561253
Machine learning.

Dewey Class. No.: 006.3/1

The unsupervised learning workshop /
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008 211220s2020 enka 001 0 eng d
020 $a 9781800200708 (pbk.) : $c NT1113
020 $a 1800200706 (pbk.)
035 $a (OCoLC)1238009188
035 $a on1238009188
040 $a FBR $b eng $c NFU $d OCLCO $d OCLCF
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082 0 4 $a 006.3/1 $2 23
100 1 $a Jones, Aaron. $3 1345856
245 1 4 $a The unsupervised learning workshop / $c Aaron Jones, Christopher Kruger, and Benjamin Johnston.
260 # $a Birmingham, UK : $b Packt, $c 2020.
300 $a x, 518 p. : $b ill. ; $c 24 cm.
500 $a Includes index.
500 $a "Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions."
500 $a "Data science & artificial intelligence"--Cover.
500 $a Includes access to the premium interactive edition.
500 $a Includes index.
505 0 # $a Introduction to clustering -- Hierarchical clustering -- Neighborhood approaches and DBSCAN -- Dimensionality reduction techniques and PCA -- Autoencoders -- Distributed stochastic neighbor embedding -- Topic modeling -- Market basket analysis -- Hotspot analysis.
520 # $a "With the help of engaging practical activities, The Unsupervised Learning Workshop teaches you how to apply unsupervised machine learning algorithms on enormous, cluttered datasets. You'll learn the best techniques and approaches and work on real-time datasets with this hands-on guide for beginners."-- $c Publisher's description.
650 # 0 $a Machine learning. $3 561253
650 # 0 $a Data mining. $3 528622
650 # 0 $a Quantitative research. $3 635913
650 # 0 $a Big data. $3 981821
650 # 0 $a Algorithms. $3 527865
700 1 # $a Kruger, Christopher. $3 1345857
700 1 # $a Johnston, Benjamin $c (Computer scientist) $3 1345858