Elements of Machine Learning (Morgan Kaufmann Series in Machine Learning)

Created by: Pat Langley

Produced in 1995

icon
Course Description

Elements of Machine Learning provides a comprehensive introduction to the fundamental concepts and problems in the field. The book illustrates a variety of basic algorithms for inducing simple concepts from experience, presents alternatives for organizing learned concepts into large-scale structures, and discusses adaptations of the learning methods to more complex problem-solving tasks. The chapters describe these computational techniques in detail and give examples of their operation, along with exercises and references to the literature.

icon
Instructor Details

Pat Langley

Pat Langley currently serves as Director for the Institute for the Study of Learning and Expertise, as well as Professor of Computer Science (Honorary) at the University of Auckland. His research interests revolve around computational discovery of explanatory scientific models, architectures for intelligent agents, and interactive cognitive systems.

Read More

icon
Reviews

0.0

0 total reviews

5 star 4 star 3 star 2 star 1 star
% Complete
% Complete
% Complete
% Complete
% Complete
% % % % %