Linear Regression, Machine Learning, Introduction, Gradient Descent.
step is then to fit a linear line to the data. Linear Regression: Data and Model In other words, we have a model, which approximates our data via the relationship 𝑦̂ = wx + b. That is in order to approximate our data with a Linear Regression we need to find parameters w and b. In Machine Learning