Machine Learning Refined : Foundations, Algorithms, and Applications

Description

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.

Details

Author(s)
Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
Format
Hardback | 298 pages
Dimensions
179 x 253 x 18mm | 740g
Publication date
14 Jul 2017
Publisher
CAMBRIDGE UNIVERSITY PRESS
Publication City/Country
Cambridge, United Kingdom
Language
English
Illustrations note
Worked examples or Exercises; 3 Tables, black and white; 44 Halftones, color; 91 Line drawings, color
ISBN10
1107123526
ISBN13
9781107123526
Bestsellers rank
703,730