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 ...

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 ...