**A First Encounter with Machine Learning**

by Max Welling

**Publisher**: University of California Irvine 2011**Number of pages**: 93

**Description**:

The book you see before you is meant for those starting out in the field of machine learning, who need a simple, intuitive explanation of some of the most useful algorithms that our field has to offer. A first read to wet the appetite so to speak, a prelude to the more technical and advanced text books.

Download or read it online for free here:

**Download link**

(420KB, PDF)

## Similar books

**Information Theory, Inference, and Learning Algorithms**

by

**David J. C. MacKay**-

**Cambridge University Press**

A textbook on information theory, Bayesian inference and learning algorithms, useful for undergraduates and postgraduates students, and as a reference for researchers. Essential reading for students of electrical engineering and computer science.

(

**14035**views)

**Lecture Notes in Machine Learning**

by

**Zdravko Markov**-

**Central Connecticut State University**

Contents: Introduction; Concept learning; Languages for learning; Version space learning; Induction of Decision trees; Covering strategies; Searching the generalization / specialization graph; Inductive Logic Progrogramming; Unsupervised Learning ...

(

**3671**views)

**Modeling Agents with Probabilistic Programs**

by

**Owain Evans, et al.**-

**AgentModels.org**

This book describes and implements models of rational agents for (PO)MDPs and Reinforcement Learning. One motivation is to create richer models of human planning, which capture human biases. The book assumes basic programming experience.

(

**760**views)

**Reinforcement Learning: An Introduction**

by

**Richard S. Sutton, Andrew G. Barto**-

**The MIT Press**

The book provides a clear and simple account of the key ideas and algorithms of reinforcement learning. It covers the history and the most recent developments and applications. The only necessary mathematical background are concepts of probability.

(

**12746**views)