In this tutorial, we find and plot a catenary curve using GlowScript Python, walking through the math, physics, and code step by step. Learn how to model a hanging cable, visualize the curve, and ...

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

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

Explore the binomial tree model's use in option pricing, its workings, and examples. Learn how this model estimates intrinsic ...

Systematic options trading helps traders harness volatility using data, probability, and disciplined risk management.

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

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 ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Amazon has ordered its latest YA turn. The streamer has handed a greenlight to a series adaptation of The Probability of Miracles based on Wendy Wunder’s eponymous novel. It comes after Prime Video ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...