Optimization and statistics are everywhere, touching all engineering disciplines in an ever more sophisticated way. Nowhere are they more important than in the rapidly evolving field of machine ...

While a machine today could be readily taught that difference by being shown lots of examples ... deep learning systems can reason about the world in terms of semantics, rather than statistics ...

In this article I demonstrate how to use evolutionary optimization to train a logistic regression model. Along the way, I'll explain how to adapt the example to other types of machine learning models.

In today’s data-driven world, the ability to efficiently scale machine learning (ML) models and optimize their ... Advanced feature engineering, combined with ML optimization techniques, plays a vital ...

Hans Buehler, global head of equities analytics, automation and optimization ... statistics group. He says that because of resource constraints, they “can’t look at every single piece of information” ...

We hear about applications of machine learning on a daily basis, although not all of them are unalloyed successes. Self-driving cars are a good example, where tasks range from simple and ...

"What's the difference between mathematical optimization and machine learning?" This is a question ... both are based on deep mathematics and are shining examples of how mathematics — along ...