CPES Computer Science S4

Introduction to the use of data mining methods:

# Motivations, areas of application

# Data mining tasks (classification, estimation, prediction, etc.)

# Processing on the data (pre/post-processing)

# Supervised learning (Bayes method, k nearest neighbors, neural networks, etc.)

# Unsupervised learning (k-means)

# Evaluation of methods

# Data mining software (R, Scikit, Weka, etc.)

Computer science courses in the first and second years of the CPES, and more in-depth courses in the first semester of the second year.

Final examination