CSG Data Science and Machine Learning presents
Training: Introduction to Machine Learning & Deep Learning
Date: 19.10. and 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 x 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
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 1
9:00 – 9:15
Welcome
9:15 – 9:45
Neural Networks (Presentation)
9:45 – 10:15
Neural Networks (Hands on)
10:15 – 10:45
Hyperparamtere Tuning (Presentation)
10:45 – 11.15
Hyperparametrs Tuning (Hands on)
11:15 – 11:30
Break
11:30 – 11:45
Pitfalls of Neural Networks (Presentation)
11.45 – 12:00
Break
12:00 – 12:30
Unsupervised Learning: Clustering Methods (Presentation)
12:30 – 12:50
Unsupervised Learning: Clustering Methods (Hands On)
12:50 – 13:00
Wrap Up
Contact person
Jonas Seng
TU Darmstadt
Zahra Sadeghibogar
RWTH Aachen University