A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Artificial intelligence (AI) has been a floating buzzword in physical security for quite some time now, ushering in a new era of possibilities for solving some of the most complex problems that modern ...

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

The Business Journals recently spoke with NLP Logix CEO Ted Willich about building a machine-learning company — and what the future holds. Jacksonville Business Journal Editor Timothy Gibbons recently ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

Rhodes is the Marketing Director at WayThru, a fintech platform for debt resolution, and InvestiNet, a full-service collections network. Consider this: More than 75% of people now prefer managing ...

For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the ...

Machine learning isn't new to the enterprise, but technological advances and accelerating investments have made it available to the average entrepreneur. In fact, according to a recent Forrester ...