matteofusconi / artificial-intelligence-master

Artificial Intelligence master

In this repository there are many notebooks and exercises that I did to prepare for practical exams in the master degree in Artificial Intelligence.

algorithms

module 2: Logic and Logic Programming with prolog

Done prolog exercises from past exams and from exercitations

fundamentals of AI and KR

module 2: Knowledge Representations

More prolog exercises from [https://www.ic.unicamp.br/~meidanis/courses/mc336/2009s2/prolog/problemas/](this website), and representation of a family knowledge base.

module 3: Probabilistic Programming

Done exercise on soccer teams from Russel & Norvig book

Statistical and Mathematical methods for AI

homework 1

Floating point arithmetic, and solutions to linear systems

homework 2

Implementation of two mathematical clustering algorithms:

• principal components analysis (PCA)
• linear discriminant analysis (LDA)

homework 3

Implementation of two optimization techniques:

• Gradient Descent
• Stochastic Gradient Descent

homework 4

Maximum likelihood estimation and Maximum a posteriori estimation

Machine Learning

Notebooks with done exercises on many ML and Data topics, using scikit-learn:

• Data exploration
• Classification
• Clustering
• Association rules
• My written exam

Deep Learning

My exam of deep learning. The task was to repair the order of words in shuffled sentences with a score based on a intersection over union metric. Implemented with a transformer architecture using keras.