Udemy - Artificial Intelligence I: Basics and Games in Java - [PaidCoursesForFree]

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[PaidCoursesForFree.com] - Udemy - Artificial Intelligence I Basics and Games in Java 5. Tabu Search
  • 5. Tabu search implementation II.mp4 (78.3 MB)
  • 1. Tabu search introduction - basics.mp4 (27.1 MB)
  • 1. Tabu search introduction - basics.vtt (6.3 KB)
  • 2. Tabu search introduction - tabu tenure.mp4 (26.4 MB)
  • 2. Tabu search introduction - tabu tenure.vtt (6.1 KB)
  • 3. Tabu search illustration.mp4 (19.6 MB)
  • 3. Tabu search illustration.vtt (5.9 KB)
  • 4. Tabu search implementation I.mp4 (52.3 MB)
  • 4. Tabu search implementation I.vtt (52.3 MB)
  • 5. Tabu search implementation II.vtt (9.5 KB)
1. Introduction
  • 1. Introduction.mp4 (3.6 MB)
  • 1. Introduction.vtt (1.9 KB)
  • 2. What is AI good for.mp4 (10.3 MB)
  • 2. What is AI good for.vtt (5.5 KB)
2. Graph-Search Algorithms (Path Finding Algorithms)
  • 1. Why to consider graph algorithms.mp4 (3.7 MB)
  • 1. Why to consider graph algorithms.vtt (1.8 KB)
  • 2. Breadth-first search introduction.mp4 (20.8 MB)
  • 2. Breadth-first search introduction.vtt (10.8 KB)
  • 3. Breadt-first search implementation.mp4 (24.4 MB)
  • 3. Breadt-first search implementation.vtt (12.2 KB)
  • 4. Depth-first search introduction.mp4 (22.2 MB)
  • 4. Depth-first search introduction.vtt (12.2 KB)
  • 5. Depth-first search implementation I - with stack.mp4 (22.9 MB)
  • 5. Depth-first search implementation I - with stack.vtt (10.4 KB)
  • 6. Depth-first search implementation II - with recursion.mp4 (8.4 MB)
  • 6. Depth-first search implementation II - with recursion.vtt (4.3 KB)
  • 7. Enhanced search algorithms introduction.mp4 (8.9 MB)
  • 7. Enhanced search algorithms introduction.vtt (4.5 KB)
  • 8. Iterative deepening depth-first search (IDDFS).mp4 (21.4 MB)
  • 8. Iterative deepening depth-first search (IDDFS).vtt (9.9 KB)
  • 9. A search introduction.mp4 (17.2 MB)
  • 9. A search introduction.vtt (8.2 KB)
  • 10. A search illustration.mp4 (15.8 MB)
  • 10. A search illustration.vtt (9.4 KB)
  • 11. A search implementation I.mp4 (52.9 MB)
  • 11. A search implementation I.vtt (8.2 KB)
  • 12. A search implementation II.mp4 (68.2 MB)
  • 12. A search implementation II.vtt (7.7 KB)
  • 13. Path finding algorithms comparison.mp4 (6.1 MB)
  • 13. Path finding algorithms comparison.vtt (2.8 KB)
3. Basic Search Optimization Algorithms
  • 1. Brute-force search introduction.mp4 (9.2 MB)
  • 1. Brute-force search introduction.vtt (5.1 KB)
  • 2. Brute-force search example.mp4 (17.9 MB)
  • 2. Brute-force search example.vtt (8.9 KB)
  • 3. Stochastic search introduction.mp4 (9.3 MB)
  • 3. Stochastic search introduction.vtt (5.1 KB)
  • 4. Stochastic search example.mp4 (15.5 MB)
  • 4. Stochastic search example.vtt (7.8 KB)
  • 5. Hill climbing introduction.mp4 (7.4 MB)
  • 5. Hill climbing introduction.vtt (4.0 KB)
  • 6. Hill climbing example.mp4 (15.4 MB)
  • 6. Hill climbing example.vtt (7.3 KB)
4. Meta-Heuristic Optimization Methods
  • 1. Heuristics VS meta-heuristics.mp4 (16.6 MB)
  • 1. Heuristics VS meta-heuristics.vtt (9.1 KB)
  • PaidCoursesForFree.com.url (0.1 KB)
    • 6. Simulated Annealing
    • 1. Simulated annealing introduction.mp4 (23.7 MB)
    • 1. Simulated annealing introduction.vtt (11.9 KB)
    • 2. Simulated annealing - function extremum I.mp4 (7.3 MB)
    • 2. Simulated annealing - function extremum I.vtt (3.6 KB)
    • 3. Simulated annealing - function extremum II.mp4 (22.7 MB)
    • 3. Simulated annealing - function extremum II.vtt (11.3 KB)
    • 4. Simulated annealing - function extremum III.mp4 (9.4 MB)
    • 4. Simulated annealing - function extremum III.vtt (5.0 KB)
    • 5. Travelling salesman problem I - city.mp4 (21.9 MB)
    • 5. Travelling salesman problem I - city.vtt (10.0 KB)
    • 6. Travelling salesman problem II - tour.mp4 (29.9 MB)
    • 6. Travelling salesman problem II - tour.vtt (13.0 KB)
    • 7. Travelling salesman problem III - annealing algorithm.mp4 (23.0 MB)
    • 7. Travelling salesman problem III - annealing algorithm.vtt (10.2 KB)
    • 8. Travelling salesman problem IV - testing.mp4 (9.3 MB)
    • 8. Travelling salesman problem IV - testing.vtt (5.0 KB)
    7. Genetic Algorithms
    • 1. Genetic algorithms introduction - basics.mp4 (9.9 MB)
    • 1. Genetic algorithms introduction - basics.vtt (5.2 KB)
    • 2. Genetic algorithms introduction - chromosomes.mp4 (5.4 MB)
    • 2. Genetic algorithms introduction - chromosomes.vtt (2.8 KB)
    • 3. Genetic algorithms introduction - crossover.mp4 (7.4 MB)
    • 3. Genetic algorithms introduction - crossover.vtt (4.0 KB)
    • 4. Genetic algorithms introduction - mutation.mp4 (6.9 MB)
    • 4. Genetic algorithms introduction - mutation.vtt (3.5 KB)
    • 5. Genetic algorithms introduction - the algorithm.mp4 (7.3 MB)
    • 5. Genetic algorithms introduction - the algorithm.vtt (3.9 KB)
    • 6. Genetic algorithm implementation I - individual.mp4 (18.7 MB)
    • 6. Genetic algorithm implementation I - individual.vtt (8.8 KB)
    • 7. Genetic algorithm implementation II - population.mp4 (11.7 MB)
    • 7. Genetic algorithm implementation II - population.vtt (5.3 KB)
    • 8. Genetic algorithm implementation III - the algorithm.mp4 (20.1 MB)
    • 8. Genetic algorithm implementation III - the algorithm.vtt (8.7 KB)
    • 9. Genetic algorithm implementation IV - testing.mp4 (16.1 MB)
    • 9. Genetic algorithm implementation IV - testing.vtt (7.3 KB)
    • 10. Genetic algorithm implementation V - function optimum.mp4 (25.0 MB)
    • 10. Genetic algorithm implementation V - function optimum.vtt (10.6 KB)
    8. Particle Swarm Optimization
    • 1. Swarm intelligence intoduction.mp4 (15.5 MB)
    • 1. Swarm intelligence intoduction.vtt (7.8 KB)
    • 2. Particle swarm optimization introduction I - basics.mp4 (18.8 MB)
    • 2. Particle s

Description



A guide how to create smart applications, AI, genetic algorithms, pruning, heuristics and metaheuristics

What you’ll 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

Requirements
* Basic Java (SE)
* Some basic algorithms ( maximum/minimum finding )
* Basic math ( functions )

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.

Section 1:
* path findinf algorithms
* graph traversal (BFS and DFS)
* enhanced search algorihtms
* A* search algorithm

Section 2:
* basic optimization algorithms
* brute-force search
* stochastic search and hill climbing algorithm

Section 3:
* heuristics and meta-heuristics
* tabu search
* simulated annealing
* genetic algorithms
* particle swarm optimization

Section 4:
* minimax algorithm
* game trees
* applications of game trees in chess
* tic tac toe game and its implementation

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!

Who this course is for:
* This course is meant for students or anyone who interested in programming and have some background in basic Java

Source: PaidCoursesForFree.com



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Udemy - Artificial Intelligence I: Basics and Games in Java - [PaidCoursesForFree]

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Udemy - Artificial Intelligence I: Basics and Games in Java - [PaidCoursesForFree]

Torrent hash: 576FA7D04E9DBB0FE5C00C73D968D946FB651D5B