1.5 What have we gotten ourselves into?

An Introduction to Statistical Learning (ISL by James, Witten, Hastie and Tibshiraniis), is a collection of modern statistical methods for modeling and making predictions from real-world data.

It is a middle way between theoretical statistics and the practice of applying statistics to real-world problems.

It can be considered as a user manual, with self-contained R labs, which lead you through the use of different methods for applying statistical analysis to different kinds of data.

• 2: Terminology & main concepts
• 3-4: Classic linear methods
• 5: Resampling (so we can choose the best method)
• 6: Modern updates to linear methods
• 7+: Beyond Linearity (we can worry about details as we get there)