DECODE Machine Learning For SPPU 15 Course (BE - II - E&Tc - 404191)

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Product Specifications

Publisher Technical Publications All Electronics and Telecom books by Technical Publications
ISBN 9789333200646
Author: I. A. Dhotre
Number of Pages 191
Edition First Edition
Available
Available in all digital devices
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DECODE Machine Learning For SPPU 15 Course (BE - II - E&Tc - 404191) - Page 1 DECODE Machine Learning For SPPU 15 Course (BE - II - E&Tc - 404191) - Page 2 DECODE Machine Learning For SPPU 15 Course (BE - II - E&Tc - 404191) - Page 3 DECODE Machine Learning For SPPU 15 Course (BE - II - E&Tc - 404191) - Page 4 DECODE Machine Learning For SPPU 15 Course (BE - II - E&Tc - 404191) - Page 5

DECODE Internet Of Things For SPPU 15 Course (BE - II - IT - 414464A) by I. A. Dhotre
Book Summary:

The importance of Machine Learning is well known in various engineering fields. Overwhelming response to my books on various subjects inspired me to write this book. The book is structured to cover the key aspects of the subject Machine Learning. Morevover, my own journey of 19 years working in different corporates and an academic institute, has become instrumental to provide an insight on this subject.

The book uses plain, lucid language to explain fundamentals of this subject. The book provides logical method of explaining various complicated concepts and stepwise methods to explain the important topics. Each chapter is well supported with necessary illustrations, practical examples and solved problems. All the chapters in the book are arranged in a proper sequence that permits each topic to build upon earlier studies. Each chapter is well supported with necessary ilustrations and practical examples. All care has been taken to make students comfortable in understanding the basic concepts of the subject.

Audience of the Book :
This book Useful for Engineering Students.
Table of Content:

Unit I : Introduction to Machine Learning

Unit II : Models for Regression and Classification

Unit III : Clustering

Unit IV : Artificial Neural Networks I

Unit V : Artificial Neural Networks II

Unit VI : Deep Learning and Convolution Neural Networks

 

 

 

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