Overview of Machine Learning

This document is an overview of machine learning created by Zaid Harchaoui, PDF training manual in 45 pages intended to hight students level.

Table of contents

  • Overview of machine learning
  • Unsupervised learning
  • Supervised learning
  • Learning Machines
  • Feature representation
  • Statistical learning : a tentative big picture
  • Unsupervised learning (learning without a teacher)
  • A blend of scientific disciplines
  • Computational efficiency : space and time savings
  • Statistical performance : fewer dimensions → regularization
  • Visualization : discover underlying structure of the data
Size : 4460.385 Kb
File type : pdf
Downloads: 123
Created: 2019-05-01
Overview of Machine Learning

Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233

Others Machine Learning Tutorials

Interpretable Machine Learning

Machine Learning Yearning

Interpretable Machine Learning

Automated Machine Learning

Machine Learning for Cyber Physical Systems

Others related eBooks about Overview of Machine Learning

Computing Fundamentals: The Theory and Practice of Software Design with BlackBox Component Builder

...

The Not So Short Introduction to LaTeX 2e

This book shows you how to begin using LaTeX to create high-quality documents. The book also serves as a handy reference for all LaTeX users. In this completely revised edition, the authors cover the LaTeX2e standard and offer more details, examples, exercises, tips, and tricks. They go beyond the c...

Introduction to XSLT

Download training document course in PDF intituled Introduction to XSLT, free tutorial for beginners by Deborah Aleyne Lapeyre and B. Tommie Usdin....

Optimizing HPC Applications with Intel Cluster Tools

Optimizing HPC Applications with Intel Cluster Tools takes the reader on a tour of the fas..., download free HPC Applications tutorial in PDF (300 pages) created by Alexander Supalov ....

StatLect - Lectures on Probability Theory and Mathematical Statistics

This is a collection of lectures on probability theory and mathematical statistics written by Marco Taboga, a professional financial economist with a passion for mathematics. It is offered as a free service to the mathematical community and provides an accessible introduction to topics that are no...

Access Control and internet Filtering

Looking for an insightful guide to the growing trend of internet filtering, censorship, and online surveillance around the world? Look no further than Access Controlled, a free 635-page PDF file offered by MIT Press....

Ionic 4 Succinctly

Download free course Ionic 4 Succinctly, pdf file on 101 pages by Ed Freitas....

Physical Modeling in MATLAB, 3rd Edition

Modeling and simulation are powerful tools for explaining the world, making predictions, d..., download free MATLAB tutorial in PDF (169 pages) created by ....

Pro Git

Pro Git (Second Edition) is your fully-updated guide to Git and its usage in the modern world. Git has come a long way since it was first developed by Linus Torvalds for Linux kernel development. It has taken the open source world by storm since its inception in 2005, and this book teaches you how...

Xamarin.Forms for macOS Succinctly

Download free course Xamarin.Forms for macOS Succinctly, pdf file on 122 pages by Alessandro Del Sole....