Erasmus Mundus Master in Language
and Communication Technologies (LCT)

Introduction to machine learning.

An introduction to the basic statistical principles and techniques used in NLP. First we will address many aspects in the areas of descriptive statistics. We will also introduce machine learning techniques, including basic data processing and the main learning algorithms.

Syllabus

1. Basic statistical measures: Mean, Standard deviation, Chi-square, Mutual information, Kappa, etc.
2. Introduction to Machine Learning Artificial Intelligence in NLP
3. Basic Machine Learning algorithms: Naive Bayes, K-NN, Decision trees, SVM...
4. Evaluation in supervised learning


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