What is AI? In short, AI is a machine (especially computer system) simulation of human intelligence processes. These machines act or perform like a human being, and that can help humans solve complex problems or shorten processing time.

We may also hear another term that often comes together, which is ML (Machine Learning). ML means a machine learns through patterns in data, where users feed data to a machine and it uses the data and algorithms to predict or come out with results. ML has two major types; one is Supervised Machine Learning while the other is Unsupervised Machine Learning.

Supervised Machine Learning means all the data is labelled and categorized, humans guide and teach the machine the algorithm and what conclusions it should make. The machine is told the corresponding answers and is then able to use that knowledge to classify new data.

Unsupervised Machine Learning means the data is not labelled and categorized, humans don’t guide and teach the machine the algorithm or what conclusions it should make. This means, the machine should find the correlations between data and answers on its own. When compared with Supervised Machine Learning, the Unsupervised Machine Learning has a lower accuracy.

Sometimes AI and ML will be used interchangeably, but AI and ML are two different terms. Remember: ML is a subset of AI, while AI is not limited to ML.