Deep

Welcome to the exciting world of Probabilistic Programming! This text is a mild introduction to the sector, you simply need a basic understanding of Deep Learning and Bayesian statistics.By the tip of this text,...

One other interpretability tool on your toolboxKnowing the best way to assess your model is crucial on your work as a knowledge scientist. Nobody will log off in your solution in the event you’re...

IntroductionOne of the perfect ways to deepen your understanding of the mathematics behind deep learning models and loss functions, and likewise an incredible strategy to improve your PyTorch skills is to get used to...

That’s the tip of our Project Talks post! Thanks a lot for taking the time to read our blog. Be at liberty to contact our members to ask questions through email or LinkedIn. We...

A tour of crucial technological breakthroughs behind modern industrial recommender systemsAnd this concludes our tour. Allow me to summarize each of those landmarks with a single headline:: All we want are embeddings for users...

My honest reflections after working in 3 different Data Science teams (hint: there’s quite a bit more PowerPoint than you think that)Data Scientists don’t exist in a bubble.We’re embedded in teams, and to work...

A tour of crucial technological breakthroughs behind modern industrial recommender systemsAnd this concludes our tour. Allow me to summarize each of those landmarks with a single headline:NCF: All we want are embeddings for users...

You need to use some other prior distribution on your parameters to create more interesting regularizations. You may even say that your parameters w are normally distributed but with some correlation matrix Σ.Allow...