• 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 ▶ The Elements of Statistical Learning

The Elements of Statistical Learning

June 20, 2015

The Elements of Statistical Learning

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework.

Book Description

Topics included: Overview of Supervised Learning • Linear Methods for Regression • Linear Methods for Classification • Basis Expansions and Regularization • Kernel Smoothing Methods • Model Assessment and Selection • Model Inference and Averaging • Additive Models, Trees, and Related Methods • Boosting and Additive Trees • Neural Networks • Support Vector Machines and Flexible Discriminants • Prototype Methods and Nearest-Neighbors • Unsupervised Learning • Random Forests • Ensemble Learning • Undirected Graphical Models • High-Dimensional Problems.

Download Free PDF / Read Online

Author(s): Trevor Hastie, Robert Tibshirani and Jerome Friedman.
Publisher: Springer
Published: April 2011
Format(s): PDF
File size: 12.69 MB
Number of pages: 764
Download / View Link(s): PDF

Similar Books:

  1. A Course in Machine Learning
  2. Machine Learning, Neural and Statistical Classification
  3. The LION Way: Machine Learning plus Intelligent Optimization [PDF]
  4. Data Mining: Desktop Survival Guide
  5. Machine Learning
Previous Post: « Undisturbed REST
Next Post: Data Mining and Analysis »

Primary Sidebar

Get Latest Updates

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

Copyright © 2006–2023 OnlineProgrammingBooks.com