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, …

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.

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 …

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 …

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 …

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

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 …

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.

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.

The three broad categories of machine learning are summarized in Figure 3: (1) super-vised learning, (2) unsupervised learning, and (3) reinforcement learning. Note that in this class, we …