1. Machine learning on Spark
In the final chapter of this course, you're going to return to MLlib, and this time you'll explore some machine learning models.
2. Gradient boosted tree models and random forests
You'll get to run gradient boosted tree models and random forest models, then make predictions about what year a song was released based on its timbre. Finally, you'll explore visualizations of the model results, and compare their accuracy.
3. Let's practice!