Chapter 1 : What Is AI
Topic : Foundations
Content : what is AI? 11 MB ,7:45 MIN , THEORY

Chapter 1 : What Is AI
Topic : Foundations
Content : Foundations of AI 11 MB ,8:35 MIN , THEORY

Chapter 1 : What Is AI
Topic : History and State of the Art of AI
Content : History of Turing Test 5 MB ,3:26 MIN , THEORY

Chapter 1 : What Is AI
Topic : History and State of the Art of AI
Content : History of AI 23 MB ,9:49 MIN , THEORY

Chapter 1 : What Is AI
Topic : History and State of the Art of AI
Content : State of the Art of AI 34 MB ,19:10 MIN , THEORY

Chapter 2 : Intelligent Agents
Topic : Agents and Environments
Content : What is Rationality 7 MB ,5:9 MIN , THEORY

Chapter 2 : Intelligent Agents
Topic : Agents and Environments
Content : Intelligent Agent 12 MB ,8:51 MIN , THEORY

Chapter 2 : Intelligent Agents
Topic : Nature of Environments
Content : Nature of Environments 35 MB ,21:33 MIN , THEORY

Chapter 2 : Intelligent Agents
Topic : Structure of Agents
Content : Structure of Agents 24 MB ,13:38 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Problem-Solving Agents
Content : Well Define Problems & Solutions 8 MB ,5:22 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Searching for Solutions
Content : Searching for Solutions 7 MB ,4:40 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Problem-Solving Agents
Content : Problem-Solving Agents 8 MB ,6:23 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Example Problems
Content : Example Problems 34 MB ,23:5 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Uninformed Search Strategies
Content : Uniform Cost Search 16 MB ,10:10 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Uninformed Search Strategies
Content : Breadth First Search 19 MB ,11:10 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Uninformed Search Strategies
Content : Depth First Search And Depth Limited Search 24 MB ,15:27 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Uninformed Search Strategies
Content : Iterative Deepening Depth First Search 17 MB ,10:12 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Uninformed Search Strategies
Content : Bidirectional Search 14 MB ,8:24 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Informed (Heuristic) Search Strategies
Content : Informed Search Strategy 7 MB ,4:17 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Informed (Heuristic) Search Strategies
Content : A Star Search 24 MB ,14:34 MIN , THEORY

Chapter 3 : Problem Solving by searching
Topic : Heuristic Functions
Content : Heuristic Functions 29 MB ,18:11 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Forms of Learning
Content : Forms of Learning 41 MB ,24:13 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Supervised Learning
Content : Supervised Learning 18 MB ,11:55 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Learning Decision Trees
Content : Learning Decision Trees 101 MB ,56:13 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Evaluating and Choosing the Best Hypothesis
Content : Evaluating and Choosing the Best Hypothesis 32 MB ,18:35 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Theory of Learning
Content : Theory of Learning, 30 MB ,19:46 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Regression and Classification with Linear Models
Content : Regression and Classification with Linear Models 38 MB ,21:24 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Artificial Neural Networks
Content : Artificial Neural Networks 30 MB ,16:49 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Nonparametric Models
Content : Nonparametric Models 20 MB ,12:28 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Support Vector Machine
Content : Support Vector Machine 17 MB ,10:39 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Ensemble Learning
Content : Ensemble Learning 19 MB ,13:10 MIN , THEORY

Chapter 1 : Learning from Examples
Topic : Practical Machine Learning
Content : Practical Machine Learning 23 MB ,15:2 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : Statistical Learning
Content : Statistical Learning 28 MB ,16:20 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : LEARNING WITH COMPLETE DATA
Content : LEARNING WITH COMPLETE DATA 41 MB ,24:19 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : Learning with Hidden Variables: The EM Algorithm
Content : The EM Algorithm, Unsupervised clustering: Gaussian Mixture Model, Learning Bayesian networks with hidden variables, Learning Hidden Markov models 56 MB ,32:18 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : Reinforcement learning
Content : Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning 63 MB ,37:4 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : Generalization in Reinforcement Learning
Content : Generalization in Reinforcement Learning 15 MB ,9:16 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : Policy Search
Content : Policy Search 21 MB ,12:58 MIN , THEORY

Chapter 1 : Learning probabilistic models
Topic : Applications of Reinforcement Learning
Content : Applications of Reinforcement Learning 19 MB ,9:32 MIN , THEORY