Biases in Language Models
Diversity & Inclusion, Ethics (Privacy, Fairness,… ), Natural Language Processing

Study of gender biases in popular language models and debiasing model techniques

Data Science at Scale with Dask
Richard Pelgrim
APIs, Big Data, Cloud

A hands-on introduction to methods for scaling your data science and machine learning with Dask.

deepdoctection - An open source package for document intelligence
Janis Meyer
Computer Vision, Natural Language Processing

deepdoctection is a Python package that enables document analysis pipelines to be built using deep learning models.

Faster Workflow with Testdriven Development
Torsten Zielke
Best Practice, Backend, Coding / Code-Review

Learn how to use testdriven development to boost your productivity and let the community do the annoying frequent checkups if the application still works

How a simple streamlit dashboard will help to put your machine learning model in production
Daniël Willemsen, Welmoet Verbaan
Best Practice, Data Visualization, Predictive Modelling

Have you struggled getting your valuable machine learning model into the hands of users? A simple streamlit monitoring dashboard can help!

Secure ML: Automated Security Best Practices in Machine Learning
Alejandro Saucedo
Best Practice, Data Engineering, Security

As data science capabilities scale, the core concept of security becomes growingly critical - in this talk we provide an overview of challenges, solutions and best practices to introduce security into the ML lifecycle.

Speeding up Python with Zig
Adam Serafini
Packaging, Performance

Let's speed up Python, with Zig! A tour through Python's C API and packaging challenges...