**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

**Introduction to Machine Learning for the Sciences**

by

**Titus Neupert, et al.**-

**arXiv.org**

This is an introductory machine learning course specifically developed with STEM students in mind, written by the theoretical Condensed Matter Theory group at the University of Zurich. We discuss supervised, unsupervised, and reinforcement learning.

(

**461**views)

**The Hundred-Page Machine Learning Book**

by

**Andriy Burkov**

This is the first successful attempt to write an easy to read book on machine learning that isn't afraid of using math. It's also the first attempt to squeeze a wide range of machine learning topics in a systematic way and without loss in quality.

(

**3600**views)

**The Elements of Statistical Learning: Data Mining, Inference, and Prediction**

by

**T. Hastie, R. Tibshirani, J. Friedman**-

**Springer**

This book brings together many of the important new ideas in learning, and explains them in a statistical framework. The authors emphasize the methods and their conceptual underpinnings rather than their theoretical properties.

(

**36122**views)

**Machine Learning**

by

**Abdelhamid Mellouk, Abdennacer Chebira**-

**InTech**

Neural machine learning approaches, Hamiltonian neural networks, similarity discriminant analysis, machine learning methods for spoken dialogue simulation and optimization, linear subspace learning for facial expression analysis, and more.

(

**13496**views)