Go Data Driven BLOG!

Fairness in Machine Learning with PyTorch

22 May

This blog post shows how to implement fair Machine Learning models in PyTorch, so that you as a practitioner can build your own fair classifiers.

Read more...


Elitist shuffle for recommendation systems

13 May

In today's high pace user experience it is expected that new recommended items appear every time the user opens the application, but what to do if your recommendation system runs every hour or every day? I give a solution that you can plug & play without having to re-engineer your recommendation system.

Read more...


GoDataDriven open source contribution: April 2018 edition

06 May

Welcome to the Open Source at GoDataDriven, April 2018 edition

Read more...


Event Report: Blockchain Ask Me Anything

03 May

BlockchainTalks.io and GoDataDriven organized an Ask Me Anything session. A great opportunity to meet and talk with Blockchain experts in Amsterdam and our first collaboration in Dutch crypto history!

Read more...


Towards fairness in ML with adversarial networks

27 Apr

Fairness is an important topic in machine learning. Here, we show how adverserial networks can be used to train fairer predictive models.

Read more...


GDPR: "May 25th is when it really begins

10 Apr

Does the GDPR have a negative impact on developers and data scientists or does it provide opportunties?

Read more...


GoDataDriven open source contribution: March 2018 edition

04 Apr

Welcome to the Open Source at GoDataDriven, March 2018 edition

Read more...


Multi-threshold Neuron Model

09 Mar

Inspired by a new biological scientific research, I propose, build and train a Deep Neural Network using a novel neuron model.

Read more...


GoDataDriven open source contribution: February 2018 edition

01 Mar

Welcome to the Open Source at GoDataDriven, February 2018 edition

Read more...


JupyterLab is Ready for Users

20 Feb

Today Project Jupyter announced that JupyterLab is ready for Users.

Read more...