Applications of Artificial Intelligence PDF LECTURE SLIDES

Applications of Artificial Intelligence
Instructor: Mausam
Textbook: Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach, Third edition
Download Slides from here

sl	Topics & Lecture Notes	Readings	Resources and Advanced Readings
1	Introduction, Uninformed Search, Informed Search.	AIMA Chapters 1,3 (Extra reading: Ch. 2, Beam Search)	Video Anytime A* Dynamic A*
2	Local Search, Adversarial Search, Computational Voting Theory.	AIMA 4.1-4.2, 5.1-5.4, 5.7-5.9, 6 (Extra reading: 5.5, 5.6)	How Intelligent is Deep Blue? General Game Playing
3	Constraint Satisfaction, Logic and Satisfiability.	AIMA 6, 7, 8.1-8.3 (Extra reading: Ch. 9)	Constraint Programming
4	Classical Planning, Agents, Decision Theory	AIMA 10, 2, 16.1-16.3, 16.6	FF Planner Self-driving cars
5	Markov Decision Processes, Probability Basics, Bayesian Networks	AIMA 17.1-17.4, 13, 14.1-14.4	Monte Carlo Planning
6	Bayesian Networks Approximate Inference and Learning, Intro to NLP	AIMA 14.5, 20.1-20.3	Future of Web Search, IBM Watson Deep QA
7	Guest Lecture: Applications of Modern SAT Solvers (Ashish Sabharwal, IBM Research) Hidden Markov Models, Intro to Learning,	AIMA 15.1-15.3, 18.1-18.2, 22.2 (Extra reading: 15.5, 15.4)
8	Guest Lecture: Learning to Make Music (Sumit Basu, Microsoft Research) Text Categorization using Naive Bayes	AIMA 18.3,18.6-18.8
9	Decision Trees, Neural Networks, Nearest Neighbor	AIMA 18.10-18.11
10	Ensemble Learning, Unsupervised Learning, Semi-supervised Learning, Wrap-up.		Dawn of AI