This lecture note
covers the following topics: Introduction to Agent, Problem Solving using
Search, State Space Search, Pegs and Disks problem, Uninformed Search , Single
agent search, Informed Search Strategies, Two agent, Constraint satisfaction
problems, Knowledge Representation and Logic, First Order Logic, Rule based
Systems, Other representation formalisms, Planning, Reasoning with Uncertainty -
Probabilistic reasoning, Reasoning with uncertainty-Fuzzy Reasoning.
This note explains the following topics:
Problem Solving by Search , Knowledge and Reasoning, Planning Classical
Planning, Uncertain knowledge and Learning.
Author(s): Department of CSE, Sri
Indu College of Engineering and Technology
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,
AI-Completeness: The Problem Domain of Super-intelligent Machines.
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.
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.
This lecture note
covers the following topics: Introduction to Agent, Problem Solving using
Search, State Space Search, Pegs and Disks problem, Uninformed Search , Single
agent search, Informed Search Strategies, Two agent, Constraint satisfaction
problems, Knowledge Representation and Logic, First Order Logic, Rule based
Systems, Other representation formalisms, Planning, Reasoning with Uncertainty -
Probabilistic reasoning, Reasoning with uncertainty-Fuzzy Reasoning.
This
book is for both professional programmers and home hobbyists who already
know how to program in Java and who want to learn practical Artificial
Intelligence (AI) programming and information processing techniques. Topics
covered includes: Search, Reasoning, Semantic Web, Expert Systems, Genetic
Algorithms, Neural Networks, Machine Learning with Weka, Statistical Natural
Language Processing.