**Understanding Machine Learning: From Theory to Algorithms**

by Shai Shalev-Shwartz, Shai Ben-David

**Publisher**: Cambridge University Press 2014**ISBN/ASIN**: 1107057132**ISBN-13**: 9781107057135**Number of pages**: 449

**Description**:

The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.

Download or read it online for free here:

**Download link**

(2.5MB, PDF)

## Similar books

**Machine Learning for Designers**

by

**Patrick Hebron**-

**O'Reilly Media**

This book introduces you to contemporary machine learning systems and helps you integrate machine-learning capabilities into your user-facing designs. Patrick Hebron explains how machine-learning applications can affect the way you design websites.

(

**4343**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.

(

**3779**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.

(

**23695**views)

**Optimal and Learning Control for Autonomous Robots**

by

**Jonas Buchli, et al.**-

**arXiv.org**

The starting point is the formulation of of an optimal control problem and deriving the different types of solutions and algorithms from there. These lecture notes aim at supporting this unified view with a unified notation wherever possible.

(

**3853**views)