…and you can get them for free if you want! ❤️ — Introduction 2022 is a truly amazing year for the machine learning community worldwide! Many long-awaited titles have been or will be soon released, including new editions of all-time classics. In this post I want to share with you three 2022 titles that I believe are especially worth reading (not only) this…

Part 3: Epistemic uncertainty — This series is a brief introduction to modeling uncertainty using TensorFlow Probability library. I wrote it as a supplementary material to my PyData Global 2021 talk on uncertainty estimation in neural networks. Articles in the series: Part 1: An Introduction Part 2: Aleatoric uncertainty Part 3: Epistemic uncertainty Part 4…

Part 2: Aleatoric uncertainty — This series is a brief introduction to modeling uncertainty using TensorFlow Probability library. I wrote it as a supplementary material to my PyData Global 2021 talk on uncertainty estimation in neural networks. Articles in the series: Part 1: An Introduction Part 2: Aleatoric uncertainty Part 3: Epistemic uncertainty Part 4…

Part 1: An introduction — This series is a brief introduction to modeling uncertainty using TensorFlow Probability library. I wrote it as a supplementary material to my PyData Global 2021 talk on uncertainty estimation in neural networks. Articles in the series: Part 1: An Introduction Part 2: Aleatoric uncertainty Part 3: Epistemic uncertainty Part 4…