A branch of artificial intelligence known as machine learning (ML) uses statistical models and algorithms to let computers “learn” from data and get better over time without needing to be ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Over the past few years, the term “deep learning” has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics.

Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

Machine learning, deep learning, and artificial intelligence all have relatively specific meanings, but are often broadly used to refer to any sort of modern, big-data related processing approach.

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Artificial intelligence workloads impact storage, with NVMe flash needed for GPU processing at the highest levels of performance – and there are other choices right through the AI data lifecycle.

Machine learning is a branch of artificial intelligence. It focuses on creating statistical models and algorithms that let computers learn and anticipate the future or make decisions without being ...

In this article, we discuss artificial intelligence, machine learning and their applications. We also explore some of their key similarities and differences.