Question: In a Table format compare Linear Regression, Decision Tree, Clustering (e.g. K-means clustering) and Reinforce Learning (e.g. Markov Decision Process): Column A: State a short

  1. In a Table format compare Linear Regression, Decision Tree, Clustering (e.g. K-means clustering) and Reinforce Learning (e.g. Markov Decision Process):

  1. Column A: State a short definition
  2. Colum B: When to use?
  3. Column C: List an example for each approach
  4. How do you determine the number of clusters for Clustering? What is the most appropriate approach to do so?

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