what?

Data Science

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.

Machine Learning

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so.

Deep Learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.

Putting it all together

AlphaFold2

Fighting Deseases with DL

Predicting River Tides

ML has become a tool for science

The No Free Lunch Theorem by David Wolpert

Averaged over all possible data generating distributions, every classification algorithm has the same error rate when classifying previously unobserved points.  

In the next 3 days …

• 100 people
• not in one place due to pandemic
• all online (including distractions)
• from newbie to pro?

What I can however aspire to …

What motivates me …

teaching for inclusion

,,Helping the students with less computing background succeed makes a much bigger difference for society long-term than does keeping entertained the most privileged students." (Mark Guzdial, 2020)

For the bored …

• IN2P3 School of Statistics

• Sebastian Raschka:

  • Introduction to Deep Learning and Generative Models
  • Introduction to Machine Learning and Statistical Pattern Classification

What you can expect: adapted inverted classroom

• instructions as video
  • each learner decides the speed
  • can be completed outside class
• learning in teams - together
• many exercises (more than you can complete)

How this will work

We set up teams of about 10 learners!

Your instructors

• Steve Schmerler
• Dominik Thalmeier
• Gerome Vivar
• Dominik Vilsmeier
• Peter Steinbach

Thank you!

Agenda

Learn!

• be positive
• help each-other (hackmd)
• communicate (mattermost)
• decide together

Thank you for your Attention!
Questions, Concerns, Feedback?