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Artificial Intelligence I: Meta-Heuristics and Games in Java

Graph Algorithms, Genetic Algorithms, Simulated Annealing, Swarm Intelligence, Minimax, Heuristics and Meta-Heuristics
4.5
4.5/5
(611 reviews)
6,474 students
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9.5

CourseMarks Score®

9.9

Freshness

8.6

Feedback

9.5

Content

Platform: Udemy
Price: $15.99
Video: 8h 48m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.9 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.6 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.5 / 10
Video Score: 8.9 / 10
The course includes 8h 48m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 31 minutes of 172 Artificial Intelligence courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

4 articles.
0 resource.
0 exercise.
0 test.

Table of contents

Description

This course is about the fundamental concepts of artificial intelligence. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detecting cancer for example. We may construct algorithms that can have a very  good guess about stock price movement in the market.
– PATHFINDING ALGORITHMS –
Section 1 – Breadth-First Search (BFS)
•what is breadth-first search algorithm
•why to use graph algorithms in AI
Section 2 – Depth-First Search (DFS)
•what is depth-first search algorithm
•implementation with iteration and with recursion
•depth-first search stack memory visualization
•maze escape application
Section 3 – Iterative Deepening Depth-First Search (IDDFS)
•what is iterative deepening depth-first search algorithm
Section 4 – A* Search Algorithm
•what is A* search algorithm
•what is the difference between Dijkstra’s algorithm and A* search
•what is a heuristic
•Manhattan distance and Euclidean distance
– OPTIMIZATION –
Section 5 – Optimization Approaches
•basic optimization algorithms
•brute-force search
•hill climbing algorithm
– META-HEURISTICS –
Section 6 – Tabu Search
•what is the tabu search algorithm
•tabu tenure and aspiration criteria
Section 7 – Simulated Annealing
•what is simulated annealing
•how to find the extremum of functions
•how to solve combinatorial optimization problems
•travelling salesman problem (TSP)
Section 8 – Genetic Algorithms
•what are genetic algorithms
•artificial evolution and natural selection
•crossover and mutation
•solving the knapsack problem
Section 9 – Particle Swarm Optimization (PSO)
•what is swarm intelligence
•what is the Particle Swarm Optimization algorithm
– GAMES AND GAME TREES –
Section 10 – Game Trees
•what are game trees
•how to construct game trees
Section 11 – Minimax Algorithm and Game Engines
•what is the minimax algorithm
•what is the problem with game trees?
•using the alpha-beta pruning approach
•chess problem
Section 12 – Tic Tac Toe with Minimax
•Tic Tac Toe game and its implementation
•using minimax algorithm
In the first chapter we are going to talk about the basic graph algorithms. Several advanced algorithms can be solved with the help of graphs, so as far as I am concerned these algorithms are the first steps.
Second chapter is about local search: finding minimum and maximum or global optimum in the main. These searches are used frequently when we use regression for example and want to find the parameters for the fit. We will consider basic concepts as well as the more advanced algorithms: heuristics and meta-heuristics.
The last topic will be about minimax algorithm and how to use this technique in games such as chess or tic-tac-toe, how to build and construct a game tree, how to analyze these kinds of tree like structures and so on. We will implement the tic-tac-toe game together in the end.
Thanks for joining the course, let’s get started!

You will learn

✓ Get a good grasp of artificial intelligence
✓ Understand how AI algorithms work
✓ Understand graph search algorithms – BFS, DFS and A* search
✓ Understand meta-heuristics
✓ Understand genetic algorithms
✓ Understand simulated annealing
✓ Understand swarm intelligence and particle swarm optimization
✓ Understand game trees
✓ Understand minimax algorithm and alpha-beta pruning
✓ Tic Tac Toe game from scratch with minimax algorithm

Requirements

• Basic Java (SE)

This course is for

• This course is meant for students or anyone who interested in algorithms and optimization approaches and have some background in basic Java

How much does the Artificial Intelligence I: Meta-Heuristics and Games in Java course cost? Is it worth it?

The course costs $15.99. And currently there is a 87% discount on the original price of the course, which was $124.99. So you save $109 if you enroll the course now.
The average price is $14.7 of 172 Artificial Intelligence courses. So this course is 9% more expensive than the average Artificial Intelligence course on Udemy.

Does the Artificial Intelligence I: Meta-Heuristics and Games in Java course have a money back guarantee or refund policy?

YES, Artificial Intelligence I: Meta-Heuristics and Games in Java has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Artificial Intelligence I: Meta-Heuristics and Games in Java course, but there is a $109 discount from the original price ($124.99). So the current price is just $15.99.

Who is the instructor? Is Holczer Balazs a SCAM or a TRUSTED instructor?

Holczer Balazs has created 32 courses that got 19,824 reviews which are generally positive. Holczer Balazs has taught 217,192 students and received a 4.5 average review out of 19,824 reviews. Depending on the information available, Holczer Balazs is a TRUSTED instructor.
Software Engineer
Hi!  My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model.Take a look at my website if you are interested in these topics!

9.5

CourseMarks Score®

9.9

Freshness

8.6

Feedback

9.5

Content

Platform: Udemy
Price: $15.99
Video: 8h 48m
Language: English
Next start: On Demand

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