Summaries for machine learning course (2)

Multiple linear regression :

Linear regression with multiple variables v.s. univariate regression



Vectorization using NumPy makes your code shorter and run faster: f=np.dot(w,x)+b


vectorization increases efficiency for large-scale data: parallel processing

Gradient descent for univariate linear regression vs multivariate linear regression






Normal equation:








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