Advanced ML: ML Infrastructure
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In this lab you will build a simple scikit-learn model, upload the model to AI Platform Prediction, and make predictions against the model.
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.
warning Real Time Machine Learning with Google Cloud ML
Using Cloud DataProc running on a Hadoop cluster you will analyse a data set using Bayes Classification.
This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.