€302.50

Master Class - Latest Advances and Best Practices in Machine Learning

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KNVB Campus

Woudenbergseweg 56

3707 HX Zeist

Netherlands

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Event description
The Master Class 'Latest Advances and Best Practices in Machine Learning' will take place on Friday November 29th 2019 at the KNVB in Zeist.

About this Event

SciSports derives actionable insights from football data by leveraging state-of-the-art machine learning techniques and applying the best practices from the field.

SciSports brings sports and science together by applying the latest machine learning techniques to football. Recently one of our research papers got awarded as best machine learning paper at KDD.

In this master class we introduce you to the latest techniques that we daily use and how you can apply it in your daily work. This master class is perfect for everybody that already has some basic knowledge about machine learning but wants to bring his/her skills.

Date: Friday November 29th, 2019

Location: KNVB Campus, Zeist, The Netherlands

Language: English

Content

After this Master Class, you will

  • be familiar with different types of machine learning algorithms;
  • be familiar with state-of-the-art tools like Jupyter Notebook;
  • master several tips and tricks to improve your machine learning models;
  • have trained machine learning models on real-world datasets;
  • have developed an end-to-end machine learning pipeline.

Schedule

09:00 - 09:15 Welcome and introduction to SciSports

09:15 - 10:15 Introduction to machine learning: Fundamental concepts

10:15 - 10:30 Coffee break

10:30 - 11:15 Introduction to machine learning: Advanced topics

11:15 - 12:00 Presentation of Actions Speak Louder Than Goals (Best Paper Award for Applied Data Science at KDD 2019)

12:00 - 13:30 Lunch break & Social activity

13:30 - 14:30 Introduction to Jupyter Notebook

14:30 - 15:00 Do It Yourself I: Train a machine learning model

15:00 - 15:15 Coffee break

15:15 - 17:00 Do It Yourself II: Build a machine learning pipeline

Prerequisites

In order to get most out of this Master Class, you should

  • have at least basic familiarity with data analysis;
  • have at least basic knowledge of fundamental machine learning concepts;
  • have experimented with applying machine learning to real-world problems;
  • bring your own laptop with a web browser -preferably Google Chrome- that is able to connect to the wireless Internet in our classroom.

Instructors

Dr. ir. Jan Van Haaren

Jan is Chief Product & Technology Officer at SciSports. He obtained a Master's degree in Computer Science and a PhD in Machine Learning from KU Leuven. He co-authored 15 peer-reviewed academic papers applying machine learning techniques to sports data and wrote several blog posts about football analytics.

Dr. Robert Seidl

Robert is a Senior Machine Learning Engineer at SciSports. He obtained a Diploma in Mathematics from LMU Munich, and a Master’s degree in Computational Science and Engineering and a PhD in Computer Science from TU Munich. He is an expert in the Python ecosystem and deep learning practitioner.

MSc. Lotte Bransen

Lotte is a Lead Data Scientist at SciSports. She obtained a Master's degree in Econometrics from Erasmus University Rotterdam. She developed novel methods to value passes in football for her Master's thesis, which was awarded with the 2018 Football Science Groningen Award. Furthermore, she co-authored four peer-reviewed academic papers applying machine learning techniques to football data.

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Date and Time

Location

KNVB Campus

Woudenbergseweg 56

3707 HX Zeist

Netherlands

View Map

Refund Policy

Contact the organiser to request a refund.

Eventbrite's fee is nonrefundable.

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