About the course
Lectures
Practical work
Assignment 1
Additional material
Practical sessions start the 2rd week of the semester.
Lectures
Due to absence of the lecturer, lectures start on 14 October 2019
Lectures
Introduction
Overview of the course and introduction to data science
Nature inspired computation
Genetic algorithms
Labs:
Genetic algorithms
LECTURES:
Predictive modeling:LABS:
- Data visualization
- Genetic algorithms
Lectures:
-bias and variance
-simple classifiers: kNN
LECTURES:
Speeding-up similarity search
Simple prediction models: decision rules
LABS:
- Classification
LECTURES:
Feature evaluation and selection
LABS:
Predictive modeling
LECTURES: Ensemble learning and kernel methods
LABS:
LECTURES: Neural networks and explanation methods
LABS:
Ensemble modelsLECTURES: Natural language processing 2/2
LABS: Natural language processing