About the course
Lectures
Practical work
Assignment 1
Assignment 2
Assignment2 Vir Naloženo 20/12/2018 12:03
essay Vir Naloženo 18/12/2018 07:08
structure Vir Naloženo 18/12/2018 07:09vocabulary Vir Naloženo 18/12/2018 07:09Additional material
Introduction
Overview of the course & objectives and introduction to Data Science
Nature inspired computation
Genetic algorithms
Practical sessions start the 3rd week of the semester.
LECTURES:
Genetic algorithmsLECTURES:
LABS:
An introduction to R
Introduction to R (R code) Vir Naloženo 15/10/2018 18:05LECTURES:
Predictive modeling:LABS:
- Data visualization, genetic algorithms
LECTURES:
Speeding-up similarity search
Simple prediction models: decision rules
NO LABS THIS WEEK
NO LECTURES tHIS WEEK BUT
Read Chapter 4 Classification in the Introduction to statistical learning.
LABS:
- Predictive modeling
LECTURES:
Future evaluation and selection
LABS:
- Clustering, attribute evaluation
LECTURES: Ensemble learning
LABS:
LECTURES: Kernel methods and neural networks
LABS:
- Neural networks with Keras
- Code will be posted after the exercises
mnist test Vir Naloženo 26/11/2018 21:41mnist train Vir Naloženo 26/11/2018 21:42rpytools Vir Naloženo 29/11/2018 08:15lab 6 - neural networks Vir Naloženo 29/11/2018 12:20LECTURES: Natural language processing 1/2
time.mag Vir Naloženo 4/12/2018 07:20english.stop Vir Naloženo 4/12/2018 07:20lab 7 - textmining Vir Naloženo 6/12/2018 12:12LECTURES: Natural language processing 2/2
LABS:
LECTURES: Reinforcement learning 1/2
LABS: Text mining 2
economics-topics Vir Naloženo 18/12/2018 07:21economics Vir Naloženo 18/12/2018 07:22lab 8 - textmining2 Vir Naloženo 21/12/2018 10:08We wish you a Merry Christmas and a Happy New Year!
We wish you a Merry Christmas and a Happy New Year
LECTURES: Reinforcement learning 2/2
Lectures: Agents and multiagent systems
LABS: Assignment 2 presentations
