
Additional information
ISBN 13 | |
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ISBN 10 | |
Edition | |
No. of Pages | |
Type of book | |
Weight | 500.00 g |
Year | |
Language | |
Publisher | |
Save | ₹82 (20% Off) |
Price |
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Categories | Computer Science Engineering, Emerging Technologies |
Condition Type | New |
Country Origin | India |
In stock
Table of Contents
Chapter 1: Introduction to Machine Learning and Deep Learning.
Chapter 2: Types of Learning.
Chapter 3: Classification Families.
Chapter 4: Learning Algorithms.
Chapter 5: Unsupervised Learning and their Algorithms.
Chapter 6: Reinforcement Learning and Control.
Chapter 7: IOT and Machine Learning.
Chapter 8: Project-1: Object Detection and Smudging Using Gradient Descent.
Chapter 9: Project-2: Spam Filtering based on Text Classification Using Machine Learning Algorithms.
Chapter 10: Appendices-A: Glossary.
Chapter 11: Appendices-B: End Term. Question Paper.
Chapter 12: Lab Manual of Machine Learning.
Chapter 13: Suggested list of ML Projects References.
Index
Author
Dr. Rajiv Chopra has a Doctorate in Computer Science from Banasthali Vidyapith University. The author is M. Tech. in Information Technology from GGSIPU, Delhi. He did BE (CSE) from SDM College of Engg. and Technology, Dharwad and MIT from MAHE. He is working as an Associate Professor in CSE Department at Guru Tegh Bahadur Institute of Information Technology, GGSIPU Delhi. As an educator he has contributed to 21 research publications in Refereed, cited International Conferences and International Journals and attended 21 conferences, workshops, FDPs and seminars. He is a prolific author with 26 Text and Reference books to his credit, for B. Tech. (CSE/IT), M. Tech. (CSE/IT), BCA, MCA and other courses of different Universities of India.
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Gist of machine learning.