Artificial Intelligence Algorithms
Artificial Intelligence Algorithms, available at $19.99, has an average rating of 5, with 9 lectures, based on 4 reviews, and has 21 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginners who wish to understand how some of artificial intelligence algorithms work It is particularly useful for Beginners who wish to understand how some of artificial intelligence algorithms work.
Enroll now: Artificial Intelligence Algorithms
Summary
Title: Artificial Intelligence Algorithms
Price: $19.99
Average Rating: 5
Number of Lectures: 9
Number of Published Lectures: 9
Number of Curriculum Items: 9
Number of Published Curriculum Objects: 9
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Beginners who wish to understand how some of artificial intelligence algorithms work
Target Audiences
- Beginners who wish to understand how some of artificial intelligence algorithms work
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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Chapter 2: Uninformed Search
Lecture 1: Uninformed Search
Chapter 3: Informed Search
Lecture 1: Uniform Cost Search Algorithm
Lecture 2: Understanding Heuristics
Lecture 3: A-Star Algrithm Part 1
Lecture 4: A-Star Algorithm Part 2
Lecture 5: Problem Reduction Search
Chapter 4: Game Playing
Lecture 1: Min Max Procedure
Lecture 2: Alpha Beta Pruning
Instructors
-
Nisheeth Joshi
Associate Professor, Banasthali Vidyapith
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- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 4 votes
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