A simulation-based framework for understanding and mitigating gender bias in many-to-one matching problems using preference-based quotas.oDo

Overview of the challenges of conference scheduling and the potential benefits of using optimization algorithms. Explanation of the basics of Integer Programming and its role in conference scheduling.

Organising the programme of a conference is a hard nut to crack but luckily pretalx is a conference management software that stays with you every step of the way. It becomes even easier if you also use Pytanis, the new library for pretalx!

The term artificial intelligence (AI) seems to be ubiquitous these days. It seems that anything can and should be solved using AI but does it really make sense to use neural networks for every use-case?

For a long time, Bayesian Hierarchical Modelling has been a very powerful tool that sadly could not be applied often due to its high computations costs. With NumPyro and the latest advances in high-performance computations in Python, Bayesian Hierarchical Modelling is now ready for prime time.

Feature engineering takes up a huge part in the work-life of a data scientist. Sometimes this doesn’t stop at features but also the target variable itself is transformed leading to all kinds of unexpected consequences. In this post, you will learn about common pitfalls, how a transformation can affect the error measure, the math behind it, and even how all this can be used to your advantage.