The Hundred-Page Machine Learning Book, written by data scientist Andriy Burkov, is a compact and concise guide to understanding the fundamentals of machine learning. At just 250 pages, this book offers a condensed and accessible introduction to the complex world of machine learning. Burkov, who holds a PhD in Artificial Intelligence and has over a

Introduction Artificial intelligence (AI) has become one of the most talked-about and rapidly evolving fields in today’s digital era. It involves the development of computer systems that can perform tasks that usually require human intelligence, such as problem-solving, decision-making, and learning. Stuart Russell and Peter Norvig are two of the most influential figures in the

Introduction Machine learning has become an increasingly popular field in recent years, and for good reason. It allows for computers to learn and improve from data without being explicitly programmed, making it a valuable tool in a variety of industries. However, many people are still unfamiliar with the underlying principles and theories behind machine learning.

An Introduction to Statistical Learning – Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani – is a highly acclaimed textbook that serves as an excellent introduction to the field of statistical learning. Published in 2013, the book has become a widely-used resource for students, teachers, and practitioners alike. The four authors, who are all