2. Classical" supervised learning techniques
Supervised learning corresponds to algorithms using data (examples) that are a set of N pairs (input vector , desired value y n ), with n varying from 1 to N, and where each is a vector of dimension d. What they have in common is that they seek a function h from in
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
Classical" supervised learning techniques
Deep-learning
Article included in this offer
"Technological innovations"
(
190 articles
)
Updated and enriched with articles validated by our scientific committees
A set of exclusive tools to complement the resources
Bibliography
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
