Description
This book attempts to provide a unified overview of the broad field of Machine Learning and its Practical implementation. This book is a survey of the state of art. It breaks this massive subject into comprehensible parts piece by piece. The objective is to focus on basic principles of machine learning with some leading edge topics. This book addresses a full spectrum of machine learning programming. The emphasis is to solve lot many programming examples using step-by step practical implementation of machine learning algorithms. To facilitate easy understanding of machine learning, this book has been written in such a simple style that a student thinks as if a teacher is sitting behind him and guiding him.
This book is written as per the new syllabus of different Universities of India. It also Cover the syllabus of B.Tech.(CSE/IT), MCA, BCA of Delhi University, Delhi. GGSIPU, MDU, RGTU, Nagpur University, UTU, APJ Abdul Kalam University so on. The book is intended for both academic and professional audience.
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
Rajiv Chopra
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.
DR. RAJIV CHOPRA –
Gist of machine learning.