Linear Algebra
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Vectors, dot product, matrices, matrix-vector product, and gradients — with RL motivation and practice.
Vectors, dot product, matrix-vector product, and gradients — with RL motivation and explained solutions.
Extend linear regression to multiple features using matrix form ŷ = Xw + b and vectorized NumPy operations.