Machine Learning Refined: Foundations, Algorithms, and Applications

Machine Learning Refined: Foundations, Algorithms, and Applications

English | ISBN: 1107123526 | 2016 | 298 Pages | True PDF | 31 MB

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.

Download:

http://longfiles.com/krsaenh4n89y/1107123526.pdf.html

[Fast Download] Machine Learning Refined: Foundations, Algorithms, and Applications


Ebooks related to "Machine Learning Refined: Foundations, Algorithms, and Applications" :
Proceedings of the First International Conference on Intelligent Computing and Communication
Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 1
Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 2
Proceedings of the First International Conference on Computational Intelligence and Informatics: ICC
Introduction to Information Systems
GSM System Engineering
Sehen und Photographie: Ästhetik und Bild (X.media.press) (German Edition)
Arduino Cookbook
Principles of Digital Image Processing: Core Algorithms (Undergraduate Topics in Computer Science)
101 Trucs indispensables à connaître sur Excel 2007
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.