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Lessons List | 35 Lesson

Fundamentals of Artificial Intelligence Introduction

Fundamentals of Artificial Intelligence Introduction

Lec 01 Introduction to AI

Lec 01 Introduction to AI

Lec 02 Problem Solving as State Space Search

Lec 02 Problem Solving as State Space Search

Lec 03 Uniformed Search

Lec 03 Uniformed Search

Lec 04 Heuristic Search

Lec 04 Heuristic Search

Lec 05 Informed Search

Lec 05 Informed Search

Lec 06 Constraint Satisfaction Problems

Lec 06 Constraint Satisfaction Problems

Lec 07 Searching AND OR Graphs

Lec 07 Searching AND OR Graphs

Lec 08 Game Playing

Lec 08 Game Playing

Lec 09 Minimax Alpha Beta

Lec 09 Minimax Alpha Beta

Lec 10 Introduction to Knowledge Representation

Lec 10 Introduction to Knowledge Representation

Lec 11 Propositional Logic

Lec 11 Propositional Logic

Lec 12 First Order Logic I

Lec 12 First Order Logic I

Lec 13 First Order Logic II

Lec 13 First Order Logic II

Lec 14 Inference in First Order Logic I

Lec 14 Inference in First Order Logic I

Lec 15 Inference in FOL II

Lec 15 Inference in FOL II

Lec 16 Answer Extraction

Lec 16 Answer Extraction

Lec 17 Procedural Control of Reasoning

Lec 17 Procedural Control of Reasoning

Lec 18 Reasoning under Uncertainty

Lec 18 Reasoning under Uncertainty

Lec 19 Bayesian Network

Lec 19 Bayesian Network

Lec 20 Decision Network

Lec 20 Decision Network

Lec 21 Introduction to Planning

Lec 21 Introduction to Planning

Lec 22 Plan Space Planning

Lec 22 Plan Space Planning

Lec 23 Planning Graph and GraphPlan

Lec 23 Planning Graph and GraphPlan

Lec 24 Practical Planning and Acting

Lec 24 Practical Planning and Acting

Lec 25 Sequential Decision Problems

Lec 25 Sequential Decision Problems

Lec 26 Making Complex Decisions

Lec 26 Making Complex Decisions

Lec 27 Introduction to Machine Learning

Lec 27 Introduction to Machine Learning

Lec 28 Learning Decision Trees

Lec 28 Learning Decision Trees

Lec 29 Linear Regression

Lec 29 Linear Regression

Lec 30 Support Vector Machines

Lec 30 Support Vector Machines

Lec 31 Unsupervised Learning

Lec 31 Unsupervised Learning

Lec 32 Reinforcement Learning

Lec 32 Reinforcement Learning

Lec 33 Learning in Neural Networks

Lec 33 Learning in Neural Networks

Lec 34 Deep Learning A Brief Overview

Lec 34 Deep Learning A Brief Overview

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Arega Mekonnen

Thank you for the excellent delivery of the course on Fundamentals of Artificial Intelligence. I enjoyed the course and learnt a lot from the professor. Keep on teaching. 2024-06-06

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Its really good 2024-03-20

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it's good 2024-02-06

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Course Description

Deep Learning Foundations course in hindi, This course explores the fundamental principles, architectures, and applications of deep neural networks in artificial intelligence.

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