Applied Machine Learning
Explore machine learning topics, learning what they are and how to use them.
Topics include: .
Feature engineering, which is a technique for transforming raw data into features that are suitable for a machine learning algorithm.
ROC curves, which are used to compare and assess machine learning results.
Hyperparameter optimization, so you can find the best set of parameters for a machine learning algorithm.
Embedded systems, including best practices for preparing your machine learning models to run on embedded devices.