Introduction to Machine Learning for Coders
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Other, , Prof. Jeremy Howard
Updated On 02 Feb, 19
Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products.
4.1 ( 11 )
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 well 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.
Sam
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
Dembe
March 29, 2019
Great course. Thank you very much.