For example, decision tree-based learning algorithms, by nature, offer better explainability because the learned tree paths resemble the rules workflows with variables, which are familiar to ...

XGBoost (eXtreme Gradient Boosting) is a scalable, end-to-end, tree-boosting system ... the current word. Q-learning is a model-free, value-based, off-policy algorithm for reinforcement learning ...

In this article, I’ll step back and explain both machine learning and deep learning in basic terms, discuss some of the most common machine learning algorithms, and explain how those algorithms ...

transfer learning and online learning. You need to determine which approach or combination is the most suitable for your algorithm based on the type of problem it will solve, the available data ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

To generate large and highly detailed forest maps, the researchers trained a type of machine learning algorithm called a deep neural network using images of the tree canopy and other sensor data ...