Probabilistic deep learning — Introduction This article belongs to the series “Probabilistic Deep Learning”. This weekly series covers probabilistic approaches to deep learning. The main goal is to extend deep learning models to quantify uncertainty, i.e. know what they do not know. We develop our models using TensorFlow and TensorFlow Probability. TensorFlow Probability is a…

Probabilistic deep learning — Introduction This article belongs to the series “Probabilistic Deep Learning”. This weekly series covers probabilistic approaches to deep learning. The main goal is to extend deep learning models to quantify uncertainty, i.e. know what they do not know. We develop our models using TensorFlow and TensorFlow Probability. TensorFlow Probability is a…

Probabilistic deep learning — Introduction This article belongs to the series “Probabilistic Deep Learning”. This weekly series covers probabilistic approaches to deep learning. The main goal is to extend deep learning models to quantify uncertainty, i.e. know what they do not know. We develop our models using TensorFlow and TensorFlow Probability (TFP). TFP is a…

Probabilistic deep learning — Introduction This article belongs to the series “Probabilistic Deep Learning”. This weekly series covers probabilistic approaches to deep learning. The main goal is to extend deep learning models to quantify uncertainty, i.e. know what they do not know. We develop our models using TensorFlow and TensorFlow Probability (TFP). TFP is a…

College Statistics with Python — Introduction In a series of weekly articles, I will cover some important statistics topics with a twist. The goal is to use Python to help us get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch. In this series, you will find articles covering topics such as…

College Statistics with Python — Introduction In a series of weekly articles, I will cover some important statistics topics with a twist. The goal is to use Python to help us get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch. …

College Statistics with Python — Introduction In a series of weekly articles, I will cover some important statistics topics with a twist. The goal is to use Python to help us get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch. …

College Statistics with Python — Introduction In a series of weekly articles, I will cover some important statistics topics with a twist. The goal is to use Python to help us get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch. …

College Statistics with Python — Introduction In a series of weekly articles, I will cover some important statistics topics with a twist. The goal is to use Python to help us get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch. …