Description

In an era where machine learning is disrupting industries, understanding its foundations is critical. Pearls and Perils of Machine Learning is a conceptual introduction to the fundamentals of machine learning, designed to guide students, researchers, and practitioners in applying machine learning tools broadly and responsibly. 

Bridging the gap between theoretical rigour and practical relevance, the text presents complex concepts in an approachable way for both engineering and non-engineering audiences. Through its innovative dual-stream approach, the book is carefully tailored to meet diverse learning needs. Whether you're new to the field or seeking deeper insights, this essential resource equips you with the knowledge to leverage state of the art machine learning while navigating its challenges.

This living copy is regularly updated with the latest advancements, and purchasers will receive ongoing updates through this platform.