Artificial Intelligence I: Basics and Games in Java (Udemy.com)
A guide how to create smart applications, AI, genetic algorithms, pruning, heuristics and metaheuristics
Created by: Holczer Balazs
Produced in 2021
What you will learn
- Get a good grasp of artificial intelligence
- Understand how AI algorithms work
- Able to create AI algorithms on your own from scratch
- Understand meta-heuristics
Quality Score
Overall Score : 88 / 100
Course Description
Section 1:
- path findinf algorithms
- graph traversal (BFS and DFS)
- enhanced search algorihtms
- A* search algorithm
- basic optimization algorithms
- brute-force search
- stochastic search and hill climbing algorithm
- heuristics and meta-heuristics
- tabu search
- simulated annealing
- genetic algorithms
- particle swarm optimization
- minimax algorithm
- game trees
- applications of game trees in chess
- tic tac toe game and its implementation
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!Who this course is for:
- This course is meant for students or anyone who interested in programming and have some background in basic Java
Instructor Details
- 4.4 Rating
50 Reviews
Holczer Balazs
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!
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