Published 2/2023
Created by Nisheeth Joshi
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 Lectures ( 5h 28m ) | Size: 1.7 GB
An Introduction
What you’ll learn
Understand how general artificial intelligence algorithms work
Understand the notion of heuristics and its importance
Understand how basic problem solving is achieved through AI algorithms
Understand how game playing works
Requirements
Basic understanding of data structures and algorithms
Description
In this course we will understand how artificial intelligence algorithms work. We will start by looking at traditional graph traversal algorithms i.e. breath first search and depth first search. From there will build our understanding of making searches more intelligent. Specifically, we will be looking at uniform cost search where we shall introduce weights to the edges and then shall modify this algorithm by applying estimates to it. We shall also look at hill climbing algorithm which is has a different perspective of searching the desired goal.We will then look at how we can apply the concepts learnt into a new perspective of problem solving where if we have multiple available solutions then the algorithm should be able to find out which among them is the best solution.We shall look at game playing where we will see show zero sum games work and how we can optimize these games by pruning a partial game tree. We shall first look at the working of a procedure called max-min algorithm and then in order to optimize this procedure, we shall apply pruning to it. We will look at what is shallow pruning and deep pruning and how take affect the game tree.
Who this course is for
Beginners who wish to understand how some of artificial intelligence algorithms work
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