Machine Learning

By:

Srinivasaraghavan, Anuradha

By:

Joseph, Vincy

Material type: Text

TextLanguage: English Publication details: New Delhi : Wiley India Pvt.Ltd, 2019Description: 308ISBN:

9788126578511

Subject(s):

DDC classification:

006.31 SRI

Summary: This book offers the readers The basics of machine learning in a very simple, user-friendly language. While browsing the table of Contents, you will realize that you are given an introduction to every concept that comes under the umbrella of machine learning. This book is aimed at students who are new to the topic of machine learning. It is meant for students studying machine learning in their undergraduate and postgraduate courses in information Technology. It is also aimed at computer engineering students. It will help familiarize students with the Terms and terminologies used in machine learning. We hope that this book serves as an entry point for students to pursue their future studies and careers in machine learning.

List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Alliance College of Engineering and Design	CSE & IT	006.31 SRI (Browse shelf(Opens below))	Available		E11975
Book	Alliance School of Liberal Arts		006.31 SRI (Browse shelf(Opens below))	Available		LA01300

Total holds: 0

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This book offers the readers The basics of machine learning in a very simple, user-friendly language. While browsing the table of Contents, you will realize that you are given an introduction to every concept that comes under the umbrella of machine learning. This book is aimed at students who are new to the topic of machine learning. It is meant for students studying machine learning in their undergraduate and postgraduate courses in information Technology. It is also aimed at computer engineering students. It will help familiarize students with the Terms and terminologies used in machine learning. We hope that this book serves as an entry point for students to pursue their future studies and careers in machine learning.

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