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How to approach algorithm problems

Programming

An example that's probably closer to what you're experiencing in coding interviews

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Using TPUs in Google Colab (properly)

Machine Learning

A simple way to use TPUs with minimal hardware optimization

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A quick intro to Bayesian neural networks

Machine Learning

Making neural networks shrug their shoulders

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Private Machine Learning (Explained in 5 levels of complexity)

Machine Learning

An intuitive explanation of some key parts of private machine learning

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An introduction to probabilistic programming, now available in TensorFlow Probability

Machine Learning

Announcement for the work I did with the TFP Team at Google

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Getting started with Attention for Classification

Tutorials

A quick guide on how to start using Attention in your NLP models

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Practical Causal Inference

Machine Learning

Putting Judea Pearl's ideas into actual code

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