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Name: Training: Introduction to Machine Learning & Deep Learning

Event type: Workshop

Date: October 19 to 20, 2022

Time: 9am – 1pm (2×4 Hours, 3 hours of presentation, 4 hours of hands-on live exercises, and a discussion)

Format: Online

Target Audience: ML/DL beginners, Scientists who want to apply ML methods

Capacity: Unlimited

Requirements (required knowledge/experience): Laptop and a working internet connection

Contact Person: Zahra Sadeghibogar and Jonas Seng

*More information* 

Desciption  

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.

Agenda  

Day 1 – October 19, 2022 
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 – October 20, 2022 

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