Students in my Stanford courses on machine learning have already made several useful suggestions, as have my colleague, Pat Langley, and my teaching assistants, Ron Kohavi, Karl P eger, Robert Allen, …

The purpose of this book is to provide you the reader with the following: a framework with which to approach problems that machine learning learning might help solve.

Note that, while adopt-ing a presentation with a strong mathematical flavor, we will still make explicit the details of many important machine learning algorithms. Unsurprisingly, the book will be more …

Machine learning is one way of achieving artificial intelligence, while deep learning is a subset of machine learning algorithms which have shown the most promise in dealing with problems involving …

Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to stu-dents and nonexpert readers in …

Machine learning (ML) is a branch of artificial intelligence (AI) that focuses on building systems that can learn from data and improve their performance over time without being explicitly programmed.

These are notes for a one-semester undergraduate course on machine learning given by Prof. Miguel ́A. Carreira-Perpi ̃n ́an at the University of California, Merced.

Collection of free machine learning books. Contribute to sumendar/mlbooks development by creating an account on GitHub.

Here, we will present a top-down algorithm for learning decision trees, since this is one of the most versatile, most efficient, and most popular machine learning algorithms.

Looking for Machine Learning Books? Here we present 20 books and materials that you can download for free and print in your home.