• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to secondary navigation
  • Skip to primary sidebar

OnlineProgrammingBooks.com

Legally Free Computer Books

  • All Categories
  • All Books
  • All Categories
  • All Books
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact
You are here: Home ▶ AI and Robotics ▶ A Course in Machine Learning

A Course in Machine Learning

September 18, 2013

alttext A Course in Machine Learning is an introductory book that covers most major aspects of modern machine learning.

Book Description

Topics covered include: decision trees, geometry and nearest neighbors, the perceptron, machine learning in practice, beyond binary classification, linear models, probabilistic modeling, neural networks, kernel methods, learning theory, ensemble methods, efficient learning,,unsupervised learning,,expectation maximization, semi-supervised learning, graphical models, online learning, structured learning and bayesian learning.
Hal Daumé III is an Assistant Professor in Computer Science at the University of Maryland.

Book Download / View Details

Author(s): Hal Daumé III
Published: 2012
Format(s): PDF
File size: 2.84 MB
Number of pages: 189
Download / View Link(s): Download

Similar Books:

  1. Machine Learning
  2. Computer Vision: Models, Learning, and Inference
  3. Introduction to Machine Learning
  4. Machine Learning, Neural and Statistical Classification
  5. Theory and Novel Applications of Machine Learning
Previous Post: « Introduction to Web Services with Java
Next Post: Microsoft System Center: Designing Orchestrator Runbooks »

Primary Sidebar

Get Latest Updates

  • Facebook
  • Pinterest
  • RSS
  • Twitter
  • YouTube
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact

Copyright © 2006–2023 OnlineProgrammingBooks.com