Probabilistic algorithms for doing Markov chain, Monte Carlo and variational inferencing; and End-to-end examples with scripts and tutorial notebooks for programming in TensorFlow probability.

What are some advanced concepts in programming that most average programmers have never heard of? This question was originally answered on Quora by Tikhon Jelvis.

In a probabilistic programming language, the heavy lifting is done by the inference algorithm -- the algorithm that continuously readjusts probabilities on the basis of new pieces of training data.

Probabilistic programming languages (PPLs) have emerged as a transformative tool for expressing complex statistical models and automating inference procedures.

MIT claims a win with probabilistic-programming system Gen in democratizing AI and spreading innovation for all.

Probabilistic programming does in 50 lines of code what used to take thousands Most recent advances in artificial intelligence—such as mobile apps that convert speech to text—are the result of ...

"Probabilistic" programming can instruct a computer using just 50 lines of code to complete a task that used to take thousands of lines, researchers say. New programming languages are being ...

An app developed by Gamalon recognizes objects after seeing a few examples. A learning program recognizes simpler concepts such as lines and rectangles. Machine learning is becoming extremely powerful ...

Software programs calculates the probability of meeting your retirement goal.