Computer Science BooksArtificial Intelligence Books

Introduction to Machine Learning

Advertisement

Introduction to Machine Learning

Introduction to Machine Learning

Currently this section contains no detailed description for the page, will update this page soon.

Author(s):

s Pages

Advertisement

Advertisement

Similar Books
Techniques of Artificial Intelligence by Vrije Universiteit Brussel

Techniques of Artificial Intelligence by Vrije Universiteit Brussel

This note explains the following topics: State Space Search, Decision Trees, Evaluating Hypotheses, Evaluation of hypothesis, Neural Networks, Computational Learning Theory, DMF Clustering, Data Mining, Text Mining, Graph Mining, Text Mining.

sNA Pages
Artificial Intelligence Techniques Notes

Artificial Intelligence Techniques Notes

This note provides a general introduction to artificial intelligence and its techniques. Topics covered includes: Biological Intelligence and Neural Networks, Building Intelligent Agents, Semantic Networks, Production Systems, Uninformed Search, Expert Systems, Machine Learning, Limitations and Misconceptions of AI.

sNA Pages
Artificial Intelligence by Professor Yun Peng

Artificial Intelligence by Professor Yun Peng

This note is designed as a broad rather than in-depth introduction to the principles of artificial intelligence, its characteristics, major techniques, and important sub-fields and applications.

sNA Pages
Techniques in Artificial Intelligence

Techniques in Artificial Intelligence

This note provides an introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning.

sNA Pages
Lecture Notes on Artificial Intelligence

Lecture Notes on Artificial Intelligence

This note covers the following topics: Prolog Programming, Knowledge Representation and Machine Learning, Natural Language Processing and Computer Vision.

sNA Pages
Artificial Intelligence Lectures slides and readings

Artificial Intelligence Lectures slides and readings

This note covers the following topics: Search, Backtracking Search, Game Tree Search, Reasoning Under Uncertainty, Planning, Decision Making under Uncertainty.

sNA Pages
Introduction to Machine Learning (N. Nilsson)

Introduction to Machine Learning (N. Nilsson)

This note covers the following topics: Preliminaries, Boolean Functions, Using Version Spaces for Learning, Statistical Learning, Decision Trees, Inductive Logic Programming , Computational Learning Theory, Unsupervised Learning, Temporal-Difference Learning, Delayed-Reinforcement Learning.

sNA Pages
Implementing Mathematics with The Nuprl Proof System

Implementing Mathematics with The Nuprl Proof System

This book covers the following topics: Introduction to Type Theory, Statements and Definitions in Nuprl, Proofs, Proof Tactics, System Description, The Rules, The Metalanguage, Building Theories, Recursive definition.

sNA Pages