/  Computer Science Books /  Artificial Intelligence Books / 

Artificial Intelligence Lecture Materials

Artificial Intelligence Lecture Materials

Artificial Intelligence Lecture Materials

This note will provide an introduction to the field of Artificial Intelligence. It will cover a number of AI ideas and techniques, as well as give you a brief introduction to symbolic computing.

Author(s):

sNA Pages
Similar Books
Digital Notes on Artificial Intelligence by Sri Indu College of Engineering and Technology

Digital Notes on Artificial Intelligence by Sri Indu College of Engineering and Technology

This note explains the following topics, Problem Solving by Search, Knowledge and Reasoning, Planning Classical Planning, Uncertain knowledge and Learning.

s140 Pages
Lecture note on Artificial Intelligence

Lecture note on Artificial Intelligence

This note describes the following topics, introduction to AI and production systems, Representation of Knowledge, Knowledge Representation using predicate logic, Knowledge Inference, Planning and Machine Learning, Expert Systems and Meta Knowledge.

s173 Pages
Explorations in Artificial Intelligence and Machine Learning

Explorations in Artificial Intelligence and Machine Learning

This PDF covers the following topics related to Artificial Intelligence and Machine Learning, Introduction to Machine Learning,The Bayesian Approach to Machine Learning, A Revealing Introduction to Hidden Markov Models, Introduction to Reinforcement Learning, Deep Learning for Feature Representation, Neural Networks and Deep Learning, AICompleteness, The Problem Domain of Superintelligent Machines.

s178 Pages
Lecture Notes On Artificial Intelligence By Dr Prashanta Kumar Patra

Lecture Notes On Artificial Intelligence By Dr Prashanta Kumar Patra

This book covers the following topics, AI Technique, Level of the Model,Problem Spaces, and Search, Defining the Problem as a State Space Search, Production Systems, Problem Characteristics, Production System Characteristics, Issues in the Design of Search Programs. Heuristic Search Techniques, GenerateandTest, Hill Climbing, Bestfirst Search, Problem Reduction, Constraint Satisfaction, Meansends, Symbolic Reasoning Under Uncertainty, Game Playing, Learning, Rote Learning.

s128 Pages