To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

Abstract: Probabilistic programming systems allow developers to model random phenomena and perform reasoning about the model efficiently. As the number of probabilistic programming systems is growing ...

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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Python maintains its runaway top ranking in the Tiobe index of programming language popularity, while older languages continue to rise. Perl surprises. Python, the highest-ranking language ever in the ...

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

The tech world is growing rapidly, demanding more skilled programmers. Yet, coding is still an intimidating mountain to climb for many, with its complex jargon and seemingly impenetrable logic.

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...