Supervised learning is a type of machine learning where the data you put into the model is “labeled.” Labeled simply means that the outcome of the observation (a.k.a. the row of data) is known.

Reinforcement learning is another variation of machine learning that is made possible because AI technologies are maturing leveraging the vast amounts of data we create every day. This simple ...

The more data the machine is exposed to, the better it becomes at performing the task, which is why machine learning is often used for complex problems such as image recognition, natural language ...

This article promised to be an explanation of machine learning, not just a list of examples. The examples, however, were necessary to illustrate a fairly easy-to-explain model.

What are artificial neural networks (ANN)? Human brains interpret the context of real-world situations in a way that computers can’t. Neural networks were first developed in the 1950s to address ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...