ML (machine learning) is handy stuff. Now that public cloud computing has made it cheap, I’m seeing all types of cloud-based applications applying this technology effectively.

Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types ...

For example, reinforcement learning is a type of machine learning, which is a subfield of artificial intelligence. However, artificial intelligence isn’t (necessarily) ...

Reinforcement machine learning Chess would be an excellent example of this type of algorithm. The program knows the rules of the game and how to play, and goes through the steps to complete the round.

Machine learning is based on the idea that we can build machines to process data and learn on their own, without our constant supervision. Let's take a closer look at what these two concepts ...

Related stories ahead of Big Data & Analytics Forum in Boston, Oct. 24-25. ⇒ Tips for reading Big Data results correctly ⇒ Small hospital makes minor investment in analytics and reaps big rewards ⇒ ...