AI_Course_PG

Artificial Intelligence postgraduate course, Postgrado en Ciencias de la Computación, UCV, Eugenio Scalise

Set of notebooks, assignments and tools for AI Course @ CS Graduate Program, Facultad de Ciencias, UCV.

Notebooks:

• tsp.ipynb: A TSP example running in DEAP, adapted as a notebook from the examples in the DEAP distribution.

Assignments:

• IA-2019-1_-_Tarea_1_-_Busqueda.ipynb: Assignment 1, A* search.
• IA-2019-1_-_Tarea_2_-_AlgoritmosGeneticos.ipynb: Assignment 2, Genetic Algortithms.
• IA-2019-1_-_Tarea_3_-_AprendizajeSupervizado.ipynb: Assignment 3, Supervized Learning (Binary Classification) + dataset.
• IA-2019-1_-_Tarea_4_-_AprendizajeNoSupervizado.ipynb: Assignment 4, Unsupervized Learning (Clustering) + dataset + data dictionary.

Slides:

• AI Introduction
• Search Techniques (based on Stanford IA Course)
• Evolutionary Computation
• Machine Learning Slides: Slides from the ML subject. These slides are based on the COMS W4495 (Applied Machine Learning, Andreas Müller) slides. There are two versions: PDF and HTML (press p to switch between preview mode and notes).