项目作者： DanielaCordova
项目描述 ：
Projects and assignments for the Artificial Intelligence course at UCM, with topics such as: Problem representation , solving and search. Heuristic search algorithms. Genetic algorithms. Recommender systems. Machine learning.
高级语言： Jupyter Notebook
项目地址: git://github.com/DanielaCordova/-Artificial-intelligence.git
Artificial-Intelligence-Projects
Projects and assignments for the Artificial Intelligence
course at UCM, with topics such as:
- Problem representation, solving and search.
- Heuristic search algorithms.
- Genetic algorithms.
- Recommender systems.
- Machine learning.
Práctica 1A:
Representation of classical problems in AI
- 8-Puzzle
- Water Jug problem
- Missionaries and cannibals problem
Implementation of different search algorithms
- Breadth first tree search
- Depth first tree search
- Depth first graph search
- Breadth first graph search
- A* Heuristic Search
Use of heuristics
- Linear
- Manhattan
- Sqrt Manhattan
- Max Heuristic
Práctica 1B:
Solving Classical AI Problems
- Königsberg bridge problem
- Math puzzle
- Six Degrees of Separation Movie Problem
Implementation of different search algorithms
- Breadth first search (BFS)
- Depth First Search (DFS)
- Depth Limited Search
- Iterative Deepening Search
Use of heuristics
- Construction of heuristics
Práctica 1C:
Solving Classical AI Problems
- TSP (Travelling Salesman Problem)
- Knapsack problem
- Magic Square Problem
- Planning and Scheduling Problem
Implementation of different search algorithms (Local Search)
- Hill Climbing
- Simulated Annealing
- Genetic Algorithm
Use of heuristics
- Construction of heuristics
Práctica 2:
Implementation of Recommender systems
- Popularity based Recommendation System
- Content-based Recommendation System
- Collaborative Filtering Recommendation System
- KNN Basic
- KNN With Means
- KNN With Z-Score
- KNN Baseline
Libraries
License
MIT
Authors
