The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the $37.5B that will be spent in 2019. Senior management teams at enterprises who are Gartner clients ...

Machine learning (ML) is a hot topic when it comes to almost anything related to computing, from analyzing data in the cloud, to self-driving cars recognizing people and things, to detecting defective ...

AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning. Gartner predicts the ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...