Machine learning for predictive maintenance: where to start?

Think about all the machines you use during a year, all of them, from a toaster every morning to an airplane every summer holiday. Now imagine that, from now on, one of them would fail every day. What impact would that have…

Advanced Pandas: Optimize speed and memory

Nowadays the Python data analysis library Pandas is widely used across the world. It…

Integrating Pandas and scikit-learn with pipelines

Integrating Pandas and scikit-learn with Pipelines

Scikit-learn and Pandas are both great tools for explorative data science. Both require a bit of practice to get the hang of. The…

Cost comparison of deep learning hardware: Google TPUv2 vs Nvidia Tesla V100

TPUs seem faster than…

Two steps towards a modern data platform

It’s easy to get lost with many options like Data Lakes…

Preventing churn like a bandit

Uplift modeling meets causal inference in a bootstrapped reinforcement…

Pachyderm for data scientists

Finally, version control for your data.

A Review of Netflix’s Metaflow

tl;dr Metaflow is a framework that alleviates several infrastructure-related pains data scientists…