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

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

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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

File list
  • [PaidCoursesForFree.com] - Udemy - Artificial Intelligence I Basics and Games in Java
  • 1. Introduction/1. Introduction.mp4 3.6 MB
  • 1. Introduction/1. Introduction.vtt 1.9 KB
  • 1. Introduction/2. What is AI good for.mp4 10.3 MB
  • 1. Introduction/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
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.vtt 1.8 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.mp4 15.8 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.vtt 9.4 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.mp4 52.9 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.vtt 8.2 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.mp4 68.2 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.vtt 7.7 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.mp4 6.1 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.vtt 2.8 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.mp4 20.8 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.vtt 10.8 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.mp4 24.4 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.vtt 12.2 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.mp4 22.2 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.vtt 12.2 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.mp4 22.9 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.vtt 10.4 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.mp4 8.4 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.vtt 4.3 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.mp4 8.9 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.vtt 4.5 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).mp4 21.4 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).vtt 9.9 KB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.mp4 17.2 MB
  • 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.vtt 8.2 KB
  • 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.mp4 9.2 MB
  • 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.vtt 5.1 KB
  • 3. Basic Search Optimization Algorithms/2. Brute-force search example.mp4 17.9 MB
  • 3. Basic Search Optimization Algorithms/2. Brute-force search example.vtt 8.9 KB
  • 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.mp4 9.3 MB
  • 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.vtt 5.1 KB
  • 3. Basic Search Optimization Algorithms/4. Stochastic search example.mp4 15.5 MB
  • 3. Basic Search Optimization Algorithms/4. Stochastic search example.vtt 7.8 KB
  • 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.mp4 7.4 MB
  • 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.vtt 4 KB
  • 3. Basic Search Optimization Algorithms/6. Hill climbing example.mp4 15.4 MB
  • 3. Basic Search Optimization Algorithms/6. Hill climbing example.vtt 7.3 KB
  • 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.mp4 16.6 MB
  • 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.vtt 9.1 KB
  • 5. Tabu Search/1. Tabu search introduction - basics.mp4 27.1 MB
  • 5. Tabu Search/1. Tabu search introduction - basics.vtt 6.3 KB
  • 5. Tabu Search/2. Tabu search introduction - tabu tenure.mp4 26.4 MB
  • 5. Tabu Search/2. Tabu search introduction - tabu tenure.vtt 6.1 KB
  • 5. Tabu Search/3. Tabu search illustration.mp4 19.6 MB
  • 5. Tabu Search/3. Tabu search illustration.vtt 5.9 KB
  • 5. Tabu Search/4. Tabu search implementation I.mp4 52.3 MB
  • 5. Tabu Search/4. Tabu search implementation I.vtt 52.3 MB
  • 5. Tabu Search/5. Tabu search implementation II.mp4 78.3 MB
  • 5. Tabu Search/5. Tabu search implementation II.vtt 9.5 KB
  • 6. Simulated Annealing/1. Simulated annealing introduction.mp4 23.7 MB
  • 6. Simulated Annealing/1. Simulated annealing introduction.vtt 11.9 KB
  • 6. Simulated Annealing/2. Simulated annealing - function extremum I.mp4 7.3 MB
  • 6. Simulated Annealing/2. Simulated annealing - function extremum I.vtt 3.6 KB
  • 6. Simulated Annealing/3. Simulated annealing - function extremum II.mp4 22.7 MB
  • 6. Simulated Annealing/3. Simulated annealing - function extremum II.vtt 11.3 KB
  • 6. Simulated Annealing/4. Simulated annealing - function extremum III.mp4 9.4 MB
  • 6. Simulated Annealing/4. Simulated annealing - function extremum III.vtt 5 KB
  • 6. Simulated Annealing/5. Travelling salesman problem I - city.mp4 21.9 MB
  • 6. Simulated Annealing/5. Travelling salesman problem I - city.vtt 10 KB
  • 6. Simulated Annealing/6. Travelling salesman problem II - tour.mp4 29.9 MB
  • 6. Simulated Annealing/6. Travelling salesman problem II - tour.vtt 13 KB
  • 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.mp4 23 MB
  • 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.vtt 10.2 KB
  • 6. Simulated Annealing/8. Travelling salesman problem IV - testing.mp4 9.3 MB
  • 6. Simulated Annealing/8. Travelling salesman problem IV - testing.vtt 5 KB
  • 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.mp4 9.9 MB
  • 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.vtt 5.2 KB
  • 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.mp4 25 MB
  • 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.vtt 10.6 KB
  • 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.mp4 5.4 MB
  • 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.vtt 2.8 KB
  • 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.mp4 7.4 MB
  • 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.vtt 4 KB
  • 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.mp4 6.9 MB
  • 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.vtt 3.5 KB
  • 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.mp4 7.3 MB
  • 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.vtt 3.9 KB
  • 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.mp4 18.7 MB
  • 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.vtt 8.8 KB
  • 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.mp4 11.7 MB
  • 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.vtt 5.3 KB
  • 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.mp4 20.1 MB
  • 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.vtt 8.7 KB
  • 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.mp4 16.1 MB
  • 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.vtt 7.3 KB
  • 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.mp4 15.5 MB
  • 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.vtt 7.8 KB
  • 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.mp4 18.8 MB
  • 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.vtt 8.8 KB
  • 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.mp4 24.7 MB
  • 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.vtt 12 KB
  • 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.mp4 22.2 MB
  • 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.vtt 10.5 KB

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