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: Title	Page
  Mastering	Machine	Learning	with	R
  
  Second	Edition
  	
  	
  	
  	
  	
  	
  	
  	
  Advanced	prediction,	algorithms,	and	learning	methods	with	R	3.x
  	
  	
  	
  	
  	
  	
  Cory	Lesmeister
  	
  BIRMINGHAM	-	MUMBAI
  
  Copyright
  
  Mastering	Machine	Learning	with	R
  Second	Edition
  Copyright	©	2017	Packt	Publishing
  All	rights	reserved.	No	part	of	this	book	may	be	reproduced,	stored	in	a	retrieval	system,	or	transmitted	in
  any	form	or	by	any	means,	without	the	prior	written	permission	of	the	publisher,	except	in	the	case	of	brief
  quotations	embedded	in	critical	articles	or	reviews.
  Every	effort	has	been	made	in	the	preparation	of	this	book	to	ensure	the	accuracy	of	the	information
  presented.	However,	the	information	contained	in	this	book	is	sold	without	warranty,	either	express	or
  implied.	Neither	the	author,	nor	Packt	Publishing,	and	its	dealers	and	distributors	will	be	held	liable	for
  any	damages	caused	or	alleged	to	be	caused	directly	or	indirectly	by	this	book.
  Packt	Publishing	has	endeavored	to	provide	tradema