Introduction Flashcards
1
Q
Optimized models used to rank candidates such as music articles or products
A
Ranking
2
Q
Optimized models based on previously observed features and labels
A
Supervised learning
3
Q
ML that takes in unlabeled examples and produces a pattern from provided data
A
Unsupervised learning
4
Q
Optimized neural networks often with many hidden layers to perform unsupervised or supervised learning
A
Deep learning
5
Q
Systems with the goal of presenting an item to a user such that the user will most likely purchase view or like the recommended item
A
Recommendation systems