Machine Learning Fundamentals · free preview
The Shape of a Learning Problem
Supervised, unsupervised and reinforcement learning differ by what information arrives and when, and the difference decides which questions the data can answer.
1. Supervised learning
Supervised learning
2. Unsupervised learning
Unsupervised learning
3. Learning with an environment
Learning with an environment
4. What credit assignment is
A reinforcement learning agent plays chess. It receives a reward of for a win and for a loss, both at the end of the game. Which statement describes credit assignment?
5. Which paradigm the data supports
A dataset of 50,000 photographs arrives with no category information of any kind. Which task can be carried out on this dataset as it stands?
Practice this interactively
Free account · instant grading · spaced review that schedules itself.
Start this course for free