In the last post, I wrote about calculating the cost of linear regression learning models combined with using gradient descent to find the minimized cost. Quick review of the key equations. Hypothesis: hₔ(x )= θ₀ + θ₁x Parameters: θ₀, θ₁ Cost Function:
Share this post
Continuing Adventures in Machine Learning
Share this post
In the last post, I wrote about calculating the cost of linear regression learning models combined with using gradient descent to find the minimized cost. Quick review of the key equations. Hypothesis: hₔ(x )= θ₀ + θ₁x Parameters: θ₀, θ₁ Cost Function: