Machine learning is a field of study within artificial intelligence, concerned with making algorithms that can learn from experience and thus improve their own performance.

Reinforcement learning is a type of machine learning where an agent learns by interacting with its environment and receiving feedback in the form of rewards or penalties.

And at the end is "deep learning". This is defined as "technique for performing machine learning", which includes the concept of "deep neural network" that reproduces the structure of the human brain.

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

29 July 2025 Could machine learning help to build a unified theory of cognition? Two distinct computational approaches provide opportunities for bringing together different theories of cognition.

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...