Understanding Machine Learning: From Theory to Algorithms

This book introduces machine learning and the algorithmic paradigms it offers. Designed for advanced undergraduates or beginning graduates, and accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.

**Tag(s):**
Machine Learning

**Publication date**: 31 Dec 2014

**ISBN-10**:
1107057132

**ISBN-13**:
n/a

**Paperback**:
n/a

**Views**: 10,851

Understanding Machine Learning: From Theory to Algorithms

This book introduces machine learning and the algorithmic paradigms it offers. Designed for advanced undergraduates or beginning graduates, and accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.

Excerpts from the About page:

Shai Shalev-Shwartz wrote:Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. 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. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.

Tweet

About The Author(s)

Shai Ben-David is a Professor at the School of Computer Science at the University of Waterloo since August 2004. He has taught at the Technion (Israel Institute of Technology), Australian National University in Canberra, and Cornell University. He received his Ph.D. from the Hebrew University for a thesis in set theory. His research focuses on statistical and computational machine learning.

Shai Shalev-Shwartz is an associate professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. He is also at Mobileye, working on autonomous driving. He received his PhD from the Hebrew University in 2007, and was a research assistant professor at the Toyota Technological Institute at Chicago until June 2009.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors