1. Multivariable Linear Regression

• vector is just an array.
• dot product is multiplying by pair.
• multivariate regression refers to something else.
• subscript for the specific feature, superscript for specific training data set.
  

2. Vectorization

• Making my code deal with vectors instead of multiplying each w by x.
• Done in NumPy library.

Codewise,

Without Vectorization:

With Vectorization:

Vectorization used in Gradient Descent

• Just subtract the two vectors.

Multivariable Gradient Descent

Alternative to Gradient Descent

• using linear algebra to solve for W and B: normal equation.