Introduction to Hands-On Machine Learning with Scikit-Learn Keras and TensorFlow Hands-On Machine Learning with Scikit-Learn Keras and TensorFlow is a popular book written by Aurélien Géron. This book is a practical guide that covers all the essential topics you need to know in order to build and deploy machine learning models using Scikit-Learn, Keras, and

Bayesian reasoning and machine learning are two powerful tools that have revolutionized the field of artificial intelligence. At the forefront of this advancement is David Barber, a well-known computer scientist and author whose work has greatly contributed to the development of these fields. David Barber is a Professor of Applied Mathematics and Professor of Computer

What are Neural Networks? Neural networks are a type of machine learning algorithm modeled after the human brain. They are used to recognize patterns in data and make predictions based on those patterns. Each neural network is made up of layers of interconnected nodes, with each node representing a single feature or concept. The connections

Introduction to Reinforcement Learning – Marco Wiering and Martijn van Otterlo Reinforcement Learning (RL) is a powerful machine learning approach that has been gaining popularity in recent years due to its ability to learn and adapt to its environment without being explicitly programmed. This method has been successfully applied in diverse fields such as robotics,

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.