Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.

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Bibliographic Details
Author / Creator:	Bonaccorso, Giuseppe.
Edition:	2nd ed.
Imprint:	Birmingham : Packt Publishing Ltd, 2018.
Description:	1 online resource (514 pages)
Language:	English
Subject:	Machine learning. Computer algorithms. Computer algorithms. Machine learning.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12590120

Hidden Bibliographic Details
ISBN:	9781789345483 1789345480 1789347998 9781789347999
Notes:	Introducing semi-supervised Support Vector Machines (S3VM). Print version record.
Summary:	Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random Forest, and Feature engineering.
Other form:	Print version: Bonaccorso, Giuseppe. Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition. Birmingham : Packt Publishing Ltd, ©2018 9781789347999

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