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Free Artificial Intelligence Books

Artificial Intelligence
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This section contains free e-books and guides on Artificial Intelligence, some of the resources in this section can be viewed online and some of them can be downloaded.

Artificial Intelligence Books
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Artificial Intelligence Course Notes

Online | NA Pages | English
This note explains artificial intelligence, including agent design, heuristic search, knowledge representation, planning, logic, natural language processing and machine learning.

 
Artificial Intelligence Lecture Notes MIT

Online | NA Pages | English
This course note introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view.

 
Lecture Notes on Artificial Intelligence

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

 
Artificial Intelligence Lecture Notes

Online | NA Pages | English
This course note covers major topics of AI, including Search, Logic and Knowledge Representation, and Natural Language Processing, with brief coverage of the Brain and Machine Vision.

 
Artificial Intelligence Lecture Notes Yanqing Zhang

Online | NA Pages | English
This note covers the following topics: Intelligent Agents, Solving Problems by Searching, Informed Search and Exploration, Adversarial Search, Logical Agents, Uncertainty, Fuzzy Sets , Probabilistic Reasoning, Genetic Algorithms.

 
Implementing Mathematics with The Nuprl Proof System

Online | NA Pages | English
This book covers the following topics: Introduction to Type Theory, Statements and Definitions in Nuprl, Proofs, Computation, Proof Tactics and System Description.

 
C++ Neural Networks and Fuzzy Logic (V.B. Rao)

PDF | 454 Pages | English
This book explains the theory of neural networks and provides illustrative examples in C++ that the reader can use as a basis for further experimentation.

 
Building Expert Systems In Prolog (Amzi)
Machine Learning, Neural and Statistical Classification (D. Michie, D. Spiegelhalter, C. Taylor)

Online | NA Pages | English
This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. It provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems.

 
Introduction to Machine Learning (N. Nilsson)

Online | NA Pages | English
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.

 
Artificial Intelligence I (W. Jones)
Artificial Intelligence II (David Marshall)
Implementing Mathematics with The Nuprl Proof System
Logic for Computer Science Foundations of Automatic Theorem Proving
Machine Learning, Neural and Statistical Classification
Building Expert Systems In Prolog
Introduction to Machine Learning
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