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

TL;DR: A wide range of online courses from MIT are available to take for free on edX.

Estimating π with “fake circles” using Python. This short shows how to simulate the geometry, calculate the approximation step by step, and see how accuracy improves as the model gets refined. #Python ...

Mathematicians rely on numbers, but finding words to explain different levels of certainty has stymied everyone from the ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a practical setting.

Abstract: Statistical learning with programming can be used to improve statistical literacy, teach students, and promote educational innovations in information-driven universities through ...

Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think. When I called him to talk more about AI and water, Masley emphasized that he’s ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

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