This book provides a hands-on approach with live examples of machine learning written for engineers, college students in their second or third year as well as for professionals, and 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.
- 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.