The predominant AI development method. In the 1980s, AI systems were programmed more like regular data processing applications (if-then-else rules). Today, AI systems use machine learning to "learn by ...

Bias is machine learning’s original sin. It’s embedded in machine learning’s essence: the system learns from data, and thus is prone to picking up the human biases that the data represents. For ...

Machine learning is a branch of computer science that teaches computers to 'learn' patterns from data instead of being programmed step by step. Think of it like this: instead of telling a computer ...

For a topic that generates so much interest, it is surprisingly difficult to find a concise definition of machine learning that satisfies everyone. Complicating things further is the fact that much of ...

Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses. In addition to having the potential ...

As the use of machine learning has grown, so has its reputation -- including expectations that can be overblown or even inaccurate. These are the “myths” of machine learning. Let’s start with a ...

You might have noticed a comment was made on the first article in this series: I didn’t mention the ‘why’ as a KSF in bringing home a machine learning project. And it’s true, forgetting the why is a ...