Question: Alice is building a machine learning model to discover how to predict one numerical target Y from two input numerical variables X1 and X2. Alice
Alice is building a machine learning model to discover how to predict one numerical target Y from two input numerical variables X1 and X2. Alice decided to use a "linear regressor" for the task. That is, she will find coefficients w1 and w2 to approximate the relationship:
X1 * w1 + X2 * w2 -> Y
Which of the following statements about Alice's decision is correct?
Group of answer choices
Alice has determined the hypotheses set (space/family).
Alice has decided which learning algorithm to use.
Alice has determined the data distribution.
Alice has discovered the relationship between X1, X2, and Y.
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