Ukraine, Lviv

Machine Learning

when 10 July 2016 - 23 July 2016
language English
duration 2 weeks
credits 0.5 ECTS
fee EUR 300

Machine learning (ML) is a key discipline and set of tools for the modern data analytics. It allows engineers to build systems that learn by themselves from data. This approach is an alternative for rule-based analytics where an engineer needs to define strict rules which requires expert domain knowledge. With ML, you can build systems for data analysis with very little domain expertise. ML systems that learn by itself outperforms human-designed rule-based systems in vast majority of practical applications.
Course topics
Machine learning, its historical development and current state
Supervised learning:
linear regression
weighted linear regression
logistic regression
gaussian discriminant analysis
naive Bayes classifier
neural networks
support vector machine
decision trees and random forest
Machine learning theory
Advises for practical application and debugging algorithms
feature selection
debugging complex ML systems
Unsupervised learning
k-means clustering
anomaly detection
dimensionality reduction
independent component analysis
Reinforcement learning
Recommender systems
Current state of ML research and application
Course tools

basics of linear algebra, basics of probability theory

Course leader

Mr. Sergii Shelpuk

Head of Data Science at Ukraine QRhythm / V.I.Tech / LITS / Szkocka Research Group
Sergii is an artificial intelligence and machine learning expert with business awareness having both computer science and business and management bac

Target group

This course is targeted to bachelors, masters, PhD students, lecturers and specialists in Computer Science Bioinformatics and Computational Biology, Statistics, Mathematics, Electrical and Computer Engineering, Chemical and Biological Engineering, Industrial Engineering, Material Science and Engineering, Neuroscience, Human-Computer Interaction, Psychology, Business and related discipines

Credits info

0.5 ECTS
This course is a part of Lviv Computer Science Summer School (whole school's credits cost is 3 ects)

Fee info

EUR 300: This course is a part of Lviv Computer Science Summer School (whole school's cost is 300 EUR)
EUR 350: This course is a part of Lviv Computer Science Summer School (whole school's cost is 350 EUR)