Practical handbook of machine learning: best suited for software professional college students

By:

Bhattacharyya, Sujit

Contributor(s):

Bhattacharyya, Subhrajit

Material type: Text

TextPublication details: G. K. Publications (P) Ltd. Haryana 2021Description: x, p.vISBN:

9789390820658

Subject(s):

Machine learnig

DDC classification:

006.31 BHA

Summary: This book “Practical Handbook of Machine Learning” provides a hands on approach with live examples to machine learning written for engineers, college students in their second or third year as well as for professionals, faculty members who want to learn this exciting field on their own. The book focuses on explaining concepts of machine learning, which are important in applications. Some theoretical aspects are covered, to give enough intuition on how machine learning works, but without too much detail which can get a first-time student bogged down. Book Features: A comprehensive approach to Machine Learning makes the book accessible to self-learning faculty members, professionals and college students. Numerous practical tips and Appendices on Basic Maths and Python Programming Step by step hands-on exercises to help illustrate the concepts presented Multiple choice questions with scoring (available online) for a quick test of the understanding of concepts and a set of complementary videos after each chapter with QR code. [https://www.gkpublications.com/practical-handbook-of-machine-learning/?srsltid=AfmBOoqO2hRWywezUwZloUBwnGjJdFk1vdFqaaQgUymtvbtIh6cAovMn]

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 BHA (Browse shelf(Opens below))	1	Checked out	02/14/2025	007404

This book “Practical Handbook of Machine Learning” provides a hands on approach with live examples to machine learning written for engineers, college students in their second or third year as well as for professionals, faculty members who want to learn this exciting field on their own.
The book focuses on explaining concepts of machine learning, which are important in applications. Some theoretical aspects are covered, to give enough intuition on how machine learning works, but without too much detail which can get a first-time student bogged down.

Book Features:

A comprehensive approach to Machine Learning makes the book accessible to self-learning faculty members, professionals and college students.
Numerous practical tips and Appendices on Basic Maths and Python Programming
Step by step hands-on exercises to help illustrate the concepts presented
Multiple choice questions with scoring (available online) for a quick test of the understanding of concepts and a set of complementary videos after each chapter with QR code.

[https://www.gkpublications.com/practical-handbook-of-machine-learning/?srsltid=AfmBOoqO2hRWywezUwZloUBwnGjJdFk1vdFqaaQgUymtvbtIh6cAovMn]

There are no comments on this title.

to post a comment.