What are the actual nuts and bolts of a machine learning algorithm? In this lesson, we’ll learn about the most fundamental algorithmic example—linear regression—against an example of a housing market dataset.
We’ll take a deeper look at: • Hypothesis functions • Cost functions • Gradient descents
Questions
01
Comparing the algorithm’s predictions with the actual results happens during the: