Everyones's data science toolbox contains some base tools. We use them systematically up to the point that we consider their usage for granted. Histograms are one of them. We use them for visualization in the exploration phase, during validation...
Since ever, one had to choose between efficient models and explainable models. On one side, simple models like logistic regression are interpretable but lag on performances. On the other side complex models like Boosted Trees or Neural Network...
More and more data science use cases are done in real-time: Alerting, defect detection, prediction, automated recovery are some examples. Yet implementing and deploying them can be very challenging. Maki Nage is a framework that aims at...