title: Machine Learning Refined: Foundations, Algorithms, and Applications
author:  Jeremy Watt 
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. Additional resources including supplemental discussion topics, code demonstrations, and exercises can be found on the official textbook website at mlrefined.com<br />
zlib_text: Encyclopedia of 
  Machine 
  Learning and 
  Data Mining
  Second Edition
  Claude Sammut
  Geoffrey I. Webb
  Editors
  
  Encyclopedia of Machine Learning
  and Data Mining
  
  Claude Sammut • Geoffrey I. Webb
  Editors
  Encyclopedia
  of Machine Learning
  and Data Mining
  Second Edition
  With 263 Figures and 34 Tables
  123
  
  Editors
  Claude Sammut
  The University of New South Wales
  Sydney, NSW
  Australia
  Geoffrey I. Webb
  Faculty of Information Technology
  Monash University
  Melbourne, VIC, Australia
  ISBN 978-1-4899-7685-7
  ISBN 978-1-4899-7687-1 (eBook)
  ISBN 978-1-4899-7686-4 (print and electronic bundle)
  DOI 10.1007/978-1-4899-7687-1
  Library of Congress Control Number: 2016958560
  © Springer Science+Business Media New York 2011, 2017
  This work is subject to copyright. All rights are reserved by the Publisher, whether the whole
  or part of the material is concerned, speciﬁcally the rights of translation, reprinting, reuse of
  illustrations, recitation, broadcasting, reproduction on microﬁlms or in any other physical way,
  a