Publications by Przemyslaw Biecek
Matematyka w komiksie, komiks w matematyce
Notatki do referatu “Matematyka w komiksie” przedstawionego na Szkole Matematyki Poglądowej 2022. Celem referatu jest wymiana doświadczeń związanych z zastosowaniem komiksu w popularyzacji i nauczaniu matematyki i statystyki oraz przedstawienie motywacji stojących za ,,Grą w Chaos’’ — najnowszym komiksem z serii Beta i Bit.K...
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Agile is the worst approach to research projects — except for all the others that have been tried*
Agile is the worst approach to research projects — except for all the others that have been tried*W czerwcu, w ramach programu NERW PW, udało mi się uczestniczyć w dwóch szkoleniach kończących się certyfikatami AgilePM i AgilePgM. Te intensywne dwa tygodnie były dobrym pretekstem by uporządkować sobie zasady pracy w metodyce Agil...
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Tell Me a Story: How to Generate Textual Explanations for Predictive Models
by: Adam IzdebskiAmazing things were created during summer internships at MI2DataLab this year. One of them is the generator of natural language descriptions for DALEX explainers developed by Adam Izdebski.Is text better than charts for explanations?Packages from DrWhy.AI toolbox generate lots of graphical explanations for predictive models. Ava...
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XAI in the jungle of competing frameworks for machine learning
https://xkcd.com/927/Recently, I have faced a tough challenge. We were doing a proof of concept for the champion-challenger analysis + XAI exploration. It was done with a business partner that has its models written as if-else queries in salesforce. Part of our team were eager to build ML challengers in mlr (R) while others were after scikit-lear...
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May the XAI be with you!
New version of the ingredients package (v 0.5) was released on CRAN few days ago. Below I will show largest changes made in this version.The ingredients package is a part of DrWhy family of tools for model exploration and explanation. To make this presentation more entertaining it will be based on the Star Wars data from kaggle.What makes a Je...
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Explanatory Model Analysis with modelStudio
Version 0.2.1 of the modelStudio package reached CRAN this week. Let me shortly overview coolest new features (list of all changes).Short reminder: The modelStudio package creates an interactive serverless D3.js dashboard for exploration of predictive models, which is based on principles of Explanatory Model Analysis. With modelStudio interface, ...
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DALEX v 1.0 and the Explanatory Model Analysis
The DALEX package version 1.0 CRAN release is scheduled for Feb 20. It brings lots of improvements and changes. Below I will briefly summarise how this package helps to develop better and safer predictive models. To see code snippets scroll to the end. The package was refactored according to the principles of Explanatory Model Analysis (EMA).The...
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#explainCovid19 challenge
For some time, I’ve been interested in the verification of software libraries for eXplainable Artificial Intelligence (XAI). Not only in terms of the number of implemented algorithms but also actual usability for the end user. I found that it is challenging to gather useful feedback from end-users because it is not easy to find a predictive mod...
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Introductory videos for Explanatory Model Analysis with R
Remote teaching at my university encouraged me to prepare some video materials for Explanatory Model Analysis techniques, i.e. techniques of exploration, explanation and visualisation of predictive models.The pyramid for Explanatory Model Analysis. Left part is focused on a single observation (instance-level or local explanations). Right part is ...
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XAI in Python with dalex
The dalex is the Python library developed by Wojciech Kretowicz and Hubert Baniecki for Explanatory Model Analysis / eXplainable Artificial Intelligence.In MI2DataLab we have built many tools for the exploration, explanation and visualization of machine learning models. The latest product is the dalex package for Python developed by Wojciech Kret...
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