Zooming Past the Competition
Imagine you’re walking down the street and you see a nice car you’re thinking of ...
By This Author
TensorFlow – The Scope of Software Engineering
How to structure your TensorFlow graph like a software engineer So you’ve finished training your ...
Preparing for the Unexpected
Some of the problems we tackle using machine learning involve categorical features that represent real ...
Think your Data Different
In the last couple of years deep learning (DL) has become a main enabler for ...
The Story of a Bad Train-Test Split
About a year ago we incorporated a new type of feature into one of our ...
How to Engineer Your Way Out of Slow Models
So you just finished designing that great neural network architecture of yours. It has a ...
Using Uncertainty to Interpret your Model
As deep neural networks (DNN) become more powerful, their complexity increases. This complexity introduces new ...
Uncertainty for CTR Prediction: One Model to Clarify Them All
In the first post of the series we discussed three types of uncertainty that can ...
Recommender Systems: Exploring the Unknown Using Uncertainty
Now that we know what uncertainty types exist and learned some ways to model them, ...
Neural Networks from a Bayesian Perspective
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for ...
The Hitchhiker’s Guide to Hyperparameter Tuning
Now that more than a year has passed since our first deep learning project emerged, ...