CSG Data Science and Machine Learning presents

Training: Introduction to Machine Learning & Deep Learning

Date: 19. & 20.10.2022 (9 am - 1 pm); Format: online

Short abstract:

Not only in economics Machine- and Deep-Learning (ML/DL) are inherently used to solve highly complex problems in a datadriven way, but also the scientific community has many use-cases in which ML/DL are useful, e.g. to discover hidden patterns or replace computationally heavy simulations with data-driven approaches.

This workshop will introduce the basics of ML and DL in a theoretical and practical way with the State of Art technologies. The participants will learn how to design ML-models by themselves and will learn about possible pitfalls when applying ML in the real world.

Duration:

2×4 Hours, 3 hours of presentation, 4 hours of hands-on live exercises, and a discussion

Target Audience:

ML/DL beginners, Scientists who want to apply ML methods

Requirements:

Laptop and a working internet connection

Capacity:

Unlimited

Information about CSG Data Science and Machine Learning

Agenda

Day 1
9:00 – 9:15

Welcome

9:15 – 9:35
Setup

9:35 – 10:00
Data Preparation (Presentation)

10:00 – 10:30
Data Preparation (Hands On)

10:30 – 10:45
Break

10:45 – 11:15
Random Forests (Presentation)

11:15 – 11:45
Random Forests (Hands On)

11:45 – 12:15
Generalized Linear Models (Presentation)

12:15 – 12:45
Generalized Linear Models (Hands On)

12:45 – 13:00
Wrap Up

Day 2
9:00 – 9:15

Welcome

9:15 – 9:45
Neural Networks (Presentation)

9:45 – 10:15
Neural Networks (Hands On)

10:15 – 10:45
Hyperparameter Tuning (Presentation)

10:45 – 11:15
Hyperparameter Tuning (Hands On)

11:15 – 11:30
Break

11:30 – 12:00
Pitfalls of Neural Networks (Presentation)

12:00 – 12:10
Wrap Up

12:10 – 13:00
Discussion & Feedback

Contact person

Zahra Sadeghibogar

RWTH Aachen University

Jonas Seng

TU Darmstadt