TL;DR: We highlight that Partial Dependence can be maliciously altered, e.g. bent and shifted, with adversarial data perturbations. Blog based on the preprint available at https://arxiv.org/abs/2105.12837, which is a joint work with Wojtek Kretowicz and Przemyslaw Biecek. Code is available at https://github.com/MI2DataLab/fooling-partial-dependence. Explainable machine learning gives many promises for developers…

Why should I care? The first quarter of 2021 has brought us common knowledge about the importance of genomic sequencing for battling COVID-19. Apparently, monitoring SARS-CoV-2 variants and mutations in countries will be crucial to epidemy spread, vaccine development, and efficiency. …

Are explainability methods black-box themselves? There are various adversarial attacks on machine learning models; hence, ways of defending, e.g. by using Explainable AI methods. Nowadays, attacks on model explanations come to light, so does the defense to such adversary. Here, we introduce fundamental concepts related to the domain. …

How to tell a good story? Previous part: Data Visualization Cheat Sheets Never would have thought that teaching the Data Visualization Techniques course for second-year Data Science students at the Warsaw University of Technology would bring me so much satisfaction. In the second project, we asked students to prepare posters concerning COVID-19 statistics, while also exploring various topics like restrictions, tourism, air pollution, economy, etc.

How to make a good graph? I have an opportunity to co-teach a Data Visualization Techniques course for second-year Data Science students at the Warsaw University of Technology. As a part of the course, we asked students to prepare informative posters concerning good plotting practices and specific cheat sheets for data visualization. The subject of the project was rather open, and here are the best results (more can be found at GitHub).

I will showcase how straightforward and convenient it is to explain a tensorflow predictive model using the dalex Python package. The introduction to this topic can be found in Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models. For any inquiries, please contact me on LinkedIn or GitHub. For this…