This book consists of the expanded notes from an upper level linear algebra course given some years ago by the author. Each section, or lecture, covers about a week's worth of material and includes a ...

# common in ML. for example :- The house pricing prediction. # With MPP, we can now find the model weights if n is not equal to m : w = X ^ + y.

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