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 ...

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 ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Software that can has been (or can be) trained to make decisions based on rules of its own invention, as opposed to rules explicitly programmed by the software author. Instead of starting with rules, ...

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 ...