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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