The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Automating knowledge production and teaching weakens the ecosystem of students and scholars that sustains universities, ...

By integrating work experiences into learning, transitioning from treating data as "exhaust" to "oxygen," and taming digital sprawl, higher education ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

Abstract: In proximal support vector machine (PSVM), datapoints are assigned to classes by measuring the proximity of it from the two parallel hyperplanes. The hyperplanes are formed such that each of ...

After apparently promising a climb back to $100,000 for about a week, Bitcoin (BTC) suddenly reversed late on Sunday, January 18, and ended up trading at $93,013 by press time on Monday. BTC price ...

XRP has lost some steam over the past twenty-four hours as the Senate delayed a key crypto market structure bill on January 15. At the same time, daily trading volume slipped 30% as the broader market ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...