Loading...

Intro to Machine Learning: Lesson 2

35,274 views

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Sep 21, 2018

Random Forest Deep Dive.
Today we start by learning about metrics, loss functions, and (perhaps the most important machine learning concept) overfitting. We discuss using validation and test sets to help us measure overfitting.

Then we'll learn how random forests work - first, by looking at the individual trees that make them up, then by learning about "bagging", the simple trick that lets a random forest be much more accurate than any individual tree.

Next up, we look at some helpful tricks that random forests support for making them faster, and more accurate.

Loading...

When autoplay is enabled, a suggested video will automatically play next.

Up next


to add this to Watch Later

Add to

Loading playlists...