A federal court ordered UnitedHealth to reveal how its nH Predict claims algorithm worked. The lawsuit’s real story is the ...

Anarchists, union activists, Indigenous organizers, and disgruntled Trumpists find themselves side by side in the fight.

My top favorite algorithm is a "simple" one. I learned it in college; which went into exhausting details using fractions to show how much data it contains. I'll skip that part of the description.

Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...

Abstract: Statistical heterogeneity poses a formidable challenge to federated learning (FL), resulting in inconsistent training objectives and serious biases in local feature representations among FL ...

For non-planar graphs, such solutions are computationally intractable," explained the researchers. The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation ...

I kicked things off by tackling 10 problems centered around numbers. This helped refresh core mathematical concepts and basic programming logic.

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...

A new deep learning algorithm can predict the structure of proteins bound to a variety of other molecules such as drugs, fluorophores and metals. The work, which allowed researchers to design proteins ...