Can I read Understanding Machine Learning : from Foundations to Algorithms on EtoBox?

Understanding Machine Learning : from Foundations to Algorithms by Shalev-Shwartz, Shai, Ben-David, Shai is a nonfiction available to read on EtoBox.

What is Understanding Machine Learning : from Foundations to Algorithms about?

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 An Extensive Theoretical Account Of The Fundamental Ideas Underlying Machine Learning And The Mathematical Derivations That Transform These Principles Into Practical Algorithms. Following A Presentation Of The Basics Of The Field, The Book Covers A Wide Array Of Central Topics That Have Not Been Addressed 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 An Advanced Undergraduate Or Beginning Graduate Course, The Text Makes The Fundamentals And Algorithms Of Machine Learning Accessible To Students And Non-expert Readers In Statistics, Computer Science, Mathematics, And Engineering-- Introduction -- I. Foundations -- A Gentle Start

Who reads Understanding Machine Learning : from Foundations to Algorithms?

Author

Shalev-Shwartz, Shai, Ben-David, Shai

Publisher

Cambridge University Press (Virtual Publishing)

Published

2014

Language

EN

ISBN

9781107298019

Category

nonfiction

Subjects

Science, Computer Science, Stem