Transparency / Interpretability Session List

Talk pydata-computer-vision

Grokking LIME: How can we explain why an image classifier "knows" what’s in a photo without looking inside the model?

Kilian Kluge

Computer Vision, Neural Networks / Deep Learning, Transparency / Interpretability

How can LIME explain machine-learning models without peeking inside? Let's find out!

Tutorial pydata-machine-learning-stats

Inpsect and try to interpret your scikit-learn machine-learning models

Guillaume Lemaitre

Predictive Modelling, Statistics, Transparency / Interpretability

Inspect and try to interpret your scikit-learn machine-learning models

Tutorial general-community-diversity-carreer-life-and-everything-else

ML Communication 101: How to talk about Machine Learning with anyone

Julia Ostheimer

Best Practice, Business & Start-Ups, Career & Freelancing, Corporate, Diversity & Inclusion, Ethics (Privacy, Fairness,… ), Transparency / Interpretability, Use Case

You wanna know how you can explain your grandparents what #MachineLearning is? Attend the #PyConDE #PyData tutorial on how to translate #ML terms into everyday language of any audience. #communication #101 #tutorial #softskills #AI

Talk pycon-python-language

Trojan Source Malware - Can we trust open-source anymore?

Cheuk Ting Ho

Community, Governance, Python fundamentals, Security, Transparency / Interpretability

Trojan Source Malware has been tested on Python and it works. Shall the Python and open-source communities be concerned?

Talk pydata-natural-language-processing

XAI meets Natural Language Processing

Larissa Haas

Data Visualization, Ethics (Privacy, Fairness,… ), Transparency / Interpretability

XAI meets NLP - approaches, workarounds and lessons learned while making an NLP project explainable