This is a self-paced lab that takes place in the Google Cloud console.
Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
Overview
Syllabus
- Distributed Machine Learning with Google Cloud ML
Taught by
Google Cloud Training
Related Courses
-
Machine Learning with Spark on Google Cloud Dataproc
-
Fraud Detection on Financial Transactions with Machine Learning on Google Cloud
-
Bracketology with Google Machine Learning
-
Getting Started with BigQuery Machine Learning
-
TFX on Google Cloud Vertex Pipelines
-
BigQuery Machine Learning using Soccer Data
