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?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

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?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

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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Introduction to Interpretable Machine Learning in R was first posted on September 10, 2024 at 3:22 pm.