This program is a super simple one that classifies/predicts the type of fruit from two given features. This example uses apples and oranges. After being given some features, the program learns, and whenever we give it totally separate features, it will predict the type of the fruit. Since this is a basic program, it only needs one library, and that is sci-kit learn. You need to install sci-kit learn on your current computer using Pip install scikitlearn in the command prompt or in your Anaconda virtual env.

Raise your hand if you've been caught in the confusion of differentiating artificial intelligence (AI) vs machine learning (ML) vs deep learning (DL)… Bring down your hand, buddy, we can't see it! Although the three terminologies are usually used interchangeably, they do not quite refer to the same things. Andrey Bulezyuk, who is a German-based computer expert and has more than five years of experience in teaching people how artificial intelligence systems work, says that "practitioners in this field can clearly articulate the differences between the three closely-related terms." Therefore, is there a difference between artificial intelligence, machine learning, and deep learning? As you can see on the above image of three concentric circles, DL is a subset of ML, which is also a subset of AI.