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

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Udemy - Artificial Intelligence I: Basics and Games in Java [TP] (Size: 1.2 GB)
  1. 90% OFF For Other Courses.html 5.1 KB
  1. About the game.mp4 6.8 MB
  1. About the game.vtt 3.4 KB
  1. Brute-force search introduction.mp4 9.2 MB
  1. Brute-force search introduction.vtt 5.1 KB
  1. Course materials.html 102.4 B
  1. Game trees introduction.mp4 9.2 MB
  1. Game trees introduction.vtt 4.6 KB
  1. Genetic algorithms introduction - basics.mp4 9.9 MB
  1. Genetic algorithms introduction - basics.vtt 5.2 KB
  1. Heuristics VS meta-heuristics.mp4 16.6 MB
  1. Heuristics VS meta-heuristics.vtt 9.1 KB
  1. Introduction.mp4 3.6 MB
  1. Introduction.vtt 1.9 KB
  1. Simulated annealing introduction.mp4 23.7 MB
  1. Simulated annealing introduction.vtt 11.9 KB
  1. Swarm intelligence intoduction.mp4 15.5 MB
  1. Swarm intelligence intoduction.vtt 7.8 KB
  1. Tabu search introduction - basics.mp4 27.1 MB
  1. Tabu search introduction - basics.vtt 6.3 KB
  1. Why to consider graph algorithms.mp4 3.7 MB
  1. Why to consider graph algorithms.vtt 1.8 KB
  1.1 AI_Udemy.zip.zip 9.4 MB
  10. A search illustration.mp4 15.8 MB
  10. A search illustration.vtt 9.4 KB
  10. Genetic algorithm implementation V - function optimum.mp4 25 MB
  10. Genetic algorithm implementation V - function optimum.vtt 10.6 KB
  10. Running tic-tac-toe.mp4 8.4 MB
  10. Running tic-tac-toe.vtt 5.3 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
  2. Breadth-first search introduction.mp4 20.8 MB
  2. Breadth-first search introduction.vtt 10.8 KB
  2. Brute-force search example.mp4 17.9 MB
  2. Brute-force search example.vtt 8.9 KB
  2. Cell.mp4 8.2 MB
  2. Cell.vtt 3.8 KB
  2. Genetic algorithms introduction - chromosomes.mp4 5.4 MB
  2. Genetic algorithms introduction - chromosomes.vtt 2.8 KB
  2. Minimax algorithm introduction - basics.mp4 9.8 MB
  2. Minimax algorithm introduction - basics.vtt 4.7 KB
  2. Particle swarm optimization introduction I - basics.mp4 18.8 MB
  2. Particle swarm optimization introduction I - basics.vtt 8.8 KB
  2. Simulated annealing - function extremum I.mp4 7.3 MB
  2. Simulated annealing - function extremum I.vtt 3.6 KB
  2. Tabu search introduction - tabu tenure.mp4 26.4 MB
  2. Tabu search introduction - tabu tenure.vtt 6.1 KB
  2. What is AI good for.mp4 10.3 MB
  2. What is AI good for.vtt 5.5 KB
  3. Breadt-first search implementation.mp4 24.4 MB
  3. Breadt-first search implementation.vtt 12.2 KB
  3. Constants and Player.mp4 6.4 MB
  3. Constants and Player.vtt 3.2 KB
  3. Genetic algorithms introduction - crossover.mp4 7.4 MB
  3. Genetic algorithms introduction - crossover.vtt 4 KB
  3. Minimax algorithm introduction - the algorithm.mp4 15.8 MB
  3. Minimax algorithm introduction - the algorithm.vtt 8 KB
  3. Particle swarm optimization introduction II - the algorithm.mp4 24.7 MB
  3. Particle swarm optimization introduction II - the algorithm.vtt 12 KB
  3. Simulated annealing - function extremum II.mp4 22.7 MB
  3. Simulated annealing - function extremum II.vtt 11.3 KB
  3. Stochastic search introduction.mp4 9.3 MB
  3. Stochastic search introduction.vtt 5.1 KB
  3. Tabu search illustration.mp4 19.6 MB
  3. Tabu search illustration.vtt 5.9 KB
  4. Depth-first search introduction.mp4 22.2 MB
  4. Depth-first search introduction.vtt 12.2 KB
  4. Game implementation I.mp4 18.5 MB
  4. Game implementation I.vtt 8.1 KB
  4. Genetic algorithms introduction - mutation.mp4 6.9 MB
  4. Genetic algorithms introduction - mutation.vtt 3.5 KB
  4. Minimax algorithm introduction - relation with tic-tac-toe.mp4 9.9 MB
  4. Minimax algorithm introduction - relation with tic-tac-toe.vtt 5.2 KB
  4. Particle swarm optimization implementation I - particle.mp4 22.2 MB
  4. Particle swarm optimization implementation I - particle.vtt 10.5 KB
  4. Simulated annealing - function extremum III.mp4 9.4 MB
  4. Simulated annealing - function extremum III.vtt 5 KB
  4. Stochastic search example.mp4 15.5 MB
  4. Stochastic search example.vtt 7.8 KB
  4. Tabu search implementation I.mp4 52.3 MB
  4. Tabu search implementation I.vtt 52.3 MB
  5. Alpha-beta pruning introduction.mp4 12.2 MB
  5. Alpha-beta pruning introduction.vtt 5.7 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
  5. Game implementation II.mp4 9.7 MB
  5. Game implementation II.vtt 3.7 KB
  5. Genetic algorithms introduction - the algorithm.mp4 7.3 MB
  5. Genetic algorithms introduction - the algorithm.vtt 3.9 KB
  5. Hill climbing introduction.mp4 7.4 MB
  5. Hill climbing introduction.vtt 4 KB
  5. Particle swarm optimization implementation II - initialize.mp4 15.2 MB
  5. Particle swarm optimization implementation II - initialize.vtt 6.4 KB
  5. Tabu search implementation II.mp4 78.3 MB
  5. Tabu search implementation II.vtt 9.5 KB
  5. Travelling salesman problem I - city.mp4 21.9 MB
  5. Travelling salesman problem I - city.vtt 10 KB
  6. Alpha-beta pruning example.mp4 20.3 MB
  6. Alpha-beta pruning example.vtt 9.7 KB
  6. Board implementation I.mp4 16.5 MB
  6. Board implementation I.vtt 6.9 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
  6. Genetic algorithm implementation I - individual.mp4 18.7 MB
  6. Genetic algorithm implementation I - individual.vtt 8.8 KB
  6. Hill climbing example.mp4 15.4 MB
  6. Hill climbing example.vtt 7.3 KB
  6. Particle swarm optimization implementation III - the algorithm.mp4 24.3 MB
  6. Particle swarm optimization implementation III - the algorithm.vtt 9.4 KB
  6. Travelling salesman problem II - tour.mp4 29.9 MB
  6. Travelling salesman problem II - tour.vtt 13 KB
  7. Board implementationj II - isWinning().mp4 9 MB
  7. Board implementationj II - isWinning().vtt 3.5 KB
  7. Chess problem.mp4 4.9 MB
  7. Chess problem.vtt 2.5 KB
  7. Enhanced search algorithms introduction.mp4 8.9 MB
  7. Enhanced search algorithms introduction.vtt 4.5 KB
  7. Genetic algorithm implementation II - population.mp4 11.7 MB
  7. Genetic algorithm implementation II - population.vtt 5.3 KB
  7. Particle swarm optimization implementation IV - testing.mp4 10.4 MB
  7. Particle swarm optimization implementation IV - testing.vtt 4.9 KB
  7. Travelling salesman problem III - annealing algorithm.mp4 23 MB
  7. Travelling salesman problem III - annealing algorithm.vtt 10.2 KB
  8. Board implementation III.mp4 16.5 MB
  8. Board implementation III.vtt 5.9 KB
  8. Genetic algorithm implementation III - the algorithm.mp4 20.1 MB
  8. Genetic algorithm implementation III - the algorithm.vtt 8.7 KB
  8. Iterative deepening depth-first search (IDDFS).mp4 21.4 MB
  8. Iterative deepening depth-first search (IDDFS).vtt 9.9 KB
  8. Travelling salesman problem IV - testing.mp4 9.3 MB
  8. Travelling salesman problem IV - testing.vtt 5 KB
  9. A search introduction.mp4 17.2 MB
  9. A search introduction.vtt 8.2 KB
  9. Genetic algorithm implementation IV - testing.mp4 16.1 MB
  9. Genetic algorithm implementation IV - testing.vtt 7.3 KB
  9. Minimax algorithm.mp4 21.3 MB
  9. Minimax algorithm.vtt 9.1 KB
  [Tutorialsplanet.NET].url 102.4 B
  ▲ 142 total files

Description


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

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

For more Udemy Courses: https://tutorialsplanet.net

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