Machine Learning

Name: Machine Learning
Brand: Wiley
SKU: 9788126578511
Price: 618.0 INR
Availability: InStock

by Anuradha Srinivasaraghavan, Vincy Joseph

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ISBN13: 9788126578511
Binding: Paperback
Subject: N/A
Publisher: Wiley
Publisher Imprint: Wiley
Publication Date: January 3, 2019
Pages: 328
Original Price: INR 824.0
Language: English
Edition: N/A
Item Weight: 500 grams
BISAC Subject(s): Artificial Intelligence / General

About The Book

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. ·Basics of Machine Learning ·Supervised Learning Algorithms ·Unsupervised Algorithms ·Optimization Techniques

About The Author

Anuradha Srinivasaraghavan is an academician in the University of Mumbai. Her prime interests are in the areas of machine learning, soft computing, data mining, and databases. She actively participates in content development of the subjects. She also participates in research avenues in the areas of machine learning and soft computing. She completed her postgraduate in 2008 in Computer Engineering. Since then, she has been working in the areas of machine learning, data mining, soft computing, and artificial intelligence. Vincy Elizabeth Joseph is working as Assistant Professor in the Department of Computer Engineering, St. Francis Institute of Technology, University of Mumbai, for the past 15 years. Her prime interests are in the areas of machine learning, system security, soft computing, digital signal processing, microprocessors, and computer organization and architectures. She actively participates in the design of experiments and content development of the subjects, especially in the areas of machine learning and soft computing.

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