Machine Learning Fundamentals · 免费预览

学习问题的形态

监督学习、无监督学习和强化学习的区别在于获得何种信息以及何时获得信息,而这一区别决定了数据能够回答哪些问题。

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 +1+1 for a win and −1-1 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?

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