Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

Daniel D. Gutierrez, Editor-in-Chief & Resident Data Scientist, insideAI News, is a practicing data scientist who’s been working with data long before the field came in vogue. He is especially excited ...

Then to optimize over that linear model they’ll show you gradient descent, and again you’ll note, “Well, that’s just calculus!” Support vector machines? Merely convex optimization. Naive Bayes? Just ...

Machine learning is a wildly popular field of technology that is being used by data scientists around the globe. Mastering machine learning can be achieved via many avenues of study, but one arguably ...

Machine learning models hold great promise in helping expand credit access to those who are unfairly denied, especially those with thin credit files. But it also poses implementation pitfalls for ...

This course is available on the MSc in Financial Mathematics, MSc in Mathematics and Computation, MSc in Quantitative Methods for Risk Management, MSc in Statistics (Financial Statistics) and MSc in ...

The Machine Learning & Artificial Intelligence Technology Hub (MATH), a premier innovation ecosystem located in T-Hub, Hyderabad, Telangana, has proposed the establishment of a Satellite Incubation ...