Question: Problem 3-04: A two-feature linear regression algorithm learns the model =012=2.10.60.4 where 0 is the bias. What will the model predict for a data point

Problem 3-04: A two-feature linear regression algorithm learns the model =012=2.10.60.4

Problem 3-04: A two-feature linear regression algorithm learns the model =012=2.10.60.4 where 0 is the bias. What will the model predict for a data point having features of (a) 3.6 and 2.3 (b) 2.4 and 1.3 (c) How can matrix algebra be leveraged to compute the answer to both of the previous parts in one single matrix calculation

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