PaidCoursesForFree com - Udemy - Artificial Intelligence I Basics and Games in Java

1. 5. Tabu Search/5. Tabu search implementation II.mp478.34MB
2. 1. Introduction/1. Introduction.mp43.55MB
3. 1. Introduction/2. What is AI good for.mp410.32MB
4. 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.mp43.7MB
5. 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.mp420.75MB
6. 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.mp424.43MB
7. 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.mp422.15MB
8. 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.mp422.94MB
9. 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.mp48.36MB
10. 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.mp48.95MB
11. 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).mp421.43MB
12. 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.mp417.25MB
13. 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.mp415.82MB
14. 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.mp452.94MB
15. 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.mp468.21MB
16. 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.mp46.13MB
17. 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.mp49.24MB
18. 3. Basic Search Optimization Algorithms/2. Brute-force search example.mp417.86MB
19. 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.mp49.28MB
20. 3. Basic Search Optimization Algorithms/4. Stochastic search example.mp415.53MB
21. 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.mp47.38MB
22. 3. Basic Search Optimization Algorithms/6. Hill climbing example.mp415.37MB
23. 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.mp416.59MB
24. 5. Tabu Search/1. Tabu search introduction - basics.mp427.07MB
25. 5. Tabu Search/2. Tabu search introduction - tabu tenure.mp426.35MB
26. 5. Tabu Search/3. Tabu search illustration.mp419.57MB
27. 5. Tabu Search/4. Tabu search implementation I.mp452.27MB
28. 6. Simulated Annealing/1. Simulated annealing introduction.mp423.67MB
29. 6. Simulated Annealing/2. Simulated annealing - function extremum I.mp47.27MB
30. 6. Simulated Annealing/3. Simulated annealing - function extremum II.mp422.74MB
31. 6. Simulated Annealing/4. Simulated annealing - function extremum III.mp49.36MB
32. 6. Simulated Annealing/5. Travelling salesman problem I - city.mp421.94MB
33. 6. Simulated Annealing/6. Travelling salesman problem II - tour.mp429.88MB
34. 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.mp423.02MB
35. 6. Simulated Annealing/8. Travelling salesman problem IV - testing.mp49.26MB
36. 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.mp49.89MB
37. 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.mp45.38MB
38. 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.mp47.43MB
39. 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.mp46.92MB
40. 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.mp47.29MB
41. 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.mp418.66MB
42. 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.mp411.68MB
43. 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.mp420.06MB
44. 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.mp416.06MB
45. 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.mp424.98MB
46. 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.mp415.46MB
47. 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.mp418.78MB
48. 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.mp424.75MB
49. 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.mp422.18MB
50. 8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.mp415.2MB
51. 8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.mp424.25MB
52. 8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.mp410.37MB
53. 9. Minimax Algorithm - Game Engines/1. Game trees introduction.mp49.22MB
54. 9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.mp49.79MB
55. 9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.mp415.83MB
56. 9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.mp49.95MB
57. 9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.mp412.22MB
58. 9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.mp420.34MB
59. 9. Minimax Algorithm - Game Engines/7. Chess problem.mp44.89MB
60. 10. Tic-Tac-Toe Game/1. About the game.mp46.83MB
61. 10. Tic-Tac-Toe Game/2. Cell.mp48.15MB
62. 10. Tic-Tac-Toe Game/3. Constants and Player.mp46.36MB
63. 10. Tic-Tac-Toe Game/4. Game implementation I.mp418.55MB
64. 10. Tic-Tac-Toe Game/5. Game implementation II.mp49.66MB
65. 10. Tic-Tac-Toe Game/6. Board implementation I.mp416.48MB
66. 10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().mp49.04MB
67. 10. Tic-Tac-Toe Game/8. Board implementation III.mp416.53MB
68. 10. Tic-Tac-Toe Game/9. Minimax algorithm.mp421.28MB
69. 10. Tic-Tac-Toe Game/10. Running tic-tac-toe.mp48.43MB