Emil Kotrc

  • Emil Kotrc

  • S302 - Machine Learning in examples

    IMS Sessions: Bryant Park

    Session Evaluation


    Machine Learning (ML) is a rapidly growing field of the computer science that has far reaching applications even outside the academics and specialized industries. Thanks to the Big Data (r)evolution, Machine Learning is becoming popular even in smaller businesses. Moreover, there are many tools and projects that allow running ML algorithms even by enthusiasts without a mathematical or statistical background.

    In this presentation we will show some of the most common ML algorithms together with their prevalent use cases and we will demonstrate them on very simple examples. We will also discuss a possible integration with Db2.


     1.        A very brief introduction into ML and basic ideas.

     2.        A very brief introduction into the available machine learning tools.

     3.        Discuss the typical use cases on simple examples.