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Introduction to Interpretable Machine Learning in R

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Join our workshop on Introduction to Interpretable Machine Learning in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Introduction to Interpretable Machine Learning in R

Date: Thursday, October 10th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Andreas Hofheinz, Andreas is a Data Analytics Consultant at Munich Re, holding a master’s degree in statistics from LMU Munich. In his role, he focuses on designing, implementing, and managing data analytics and AI use cases across the company, as well as delivering international Data & AI training sessions. Before joining Munich Re, Andreas worked in consulting, primarily on digital transformation projects across various industries. He has a keen interest in open source programming and is co-author of the leafdown and counterfactuals R packages.

Description: Interpretable machine learning (IML) methods are crucial for ensuring model trust, accountability, regulatory compliance, and enhancing model performance. This course provides an introduction to key concepts and methods in IML.

We start by exploring the differences between interpretable models, such as linear regression and decision trees, and black box models, like random forests and gradient boosting.

The focus then shifts to interpreting black box models using model-agnostic methods, which separate explanation from the model itself. You’ll learn about global model-agnostic methods like Partial Dependence Plots (PDP) and Permutation Feature Importance, which describe average model behavior, and local model-agnostic methods like Individual Conditional Expectation (ICE) plots and Local Surrogate Models (LIME) for individual predictions. The hands-on, code-first approach ensures you gain practical experience with several IML methods using R.

It is recommended to have at least basic machine learning knowledge and some programming experience (ideally in R).


Minimal registration fee: 20 euro (or 20 USD or 800 UAH)

Please note that the registration confirmation email will be sent 1 day before the workshop.

How can I register?





If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


How can I sponsor a student?





If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


Looking forward to seeing you during the workshop!

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