STATISTICS FOR MACHINE LEARNING

By:

DANGETI PRATAP

Material type: Text

TextPublication details: UK PACK PUBLISHING LTD 2017Description: v, 427ISBN:

978-1-78829-575-8

Subject(s):

MACHINE LEARNING - STATISTICAL METHODS, MATHEMATICAL STATISTICS - DATA PROCESSING

DDC classification:

006.31015195/DAN

Summary: Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more.

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Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Algorithm	006.31015195/DAN (Browse shelf(Opens below))	Checked out	MACHINE LEARNING - STATISTICAL METHODS, MATHEMATICAL STATISTICS - DATA PROCESSING	04/09/2025	SICSR-B-19518
Books	Symbiosis Institute of Operation Management A2(7)	006.310 151 95/DAN (Browse shelf(Opens below))	Available			SIOM-B-14528
Books	Symbiosis Institute of Operation Management A2(7)	006.31015195/DAN (Browse shelf(Opens below))	Available			SIOM-B-14529
Books	Symbiosis Institute of Operation Management A2(7)	006.31015195/DAN (Browse shelf(Opens below))	Available			SIOM-B-14530

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	006.310 151 95/DAN STATISTICS FOR MACHINE LEARNING	006.31015195/DAN STATISTICS FOR MACHINE LEARNING	006.31015195/DAN STATISTICS FOR MACHINE LEARNING	006.312 ADR Data Mining.	006.312 DIE Big data : black book covers haddop 2, mapreduce, hive, yarn, pig, r and data visualization	006.312 DIE Big data : black book covers haddop 2, mapreduce, hive, yarn, pig, r and data visualization	Next

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more.

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