State-action-reward-state-action (SARSA) is an on-policy reinforcement learning algorithm used to teach a new Markov decision process policy. Learn how it works and how to code it.
Data labeling is a crucial step for supervised machine learning algorithms. Here’s what you need to know about data labeling methods, advantages and best practices.
The sigmoid activation function is one of the earliest activation functions used in machine learning, but it still has many useful applications today. Our expert explains everything you need to know.
Augmented reality technology places digital artifacts into the real world by way of a smartphone or headset. Here’s how AR works and some interesting applications.
