Field of A.I focused on systems that can learn autonomously.
Learning in this context means finding complex patterns in millions of data
Allows to make future predictions based on behaviors or characteristics that have been seen in the data already stored
Use historical data that are not labeled The purpose is to explore them to find the structure or the way to organize them.
They are the basis of all AI. They work exactly like the neurons of our brain at the conceptual level.
Knowledge works through inputs that arrive through our senses (sight, touch, smell, hearing, taste), in machines these inputs are simply data that we pass by ram memory to an algorithm.
Learning at multiple levels, each hidden layer is responsible for recognizing different characteristics, and deliver them as input to the next layer.
The art of getting rid of the for loops in the code
SEARCH AND PATTER RECOGNITION