Demystifying Machine Learning

Summary:

• Gradient descent is an optimisation algorithm used to find the parameters that optimises your loss function.
• Most modern ML algorithms are based on gradient descent.
• Start from a random point, move at each step towards the steepest direction. Repeat until the point no longer changes. This will be the minimum point.