Machine Learning

Sanjeev Kumar presents an updated edition of a seminal work on machine learning, originally authored by Tom M. Mitchell. This edition revitalizes the core concepts of the 1997 classic, making them accessible to modern readers and practitioners in the field.

With clear explanations and a comprehensive structure, it delves into the foundational principles of machine learning, offering insights that are both practical and theoretical. Readers will find updated examples and applications that reflect the rapid advancements in technology and methodologies, ensuring that they are well-equipped to navigate the evolving landscape of artificial intelligence and machine learning.