Overview – Training Sets
Training Sets are split into 70% 30%. The first 70% is for training, the second 30% is for tuning the model’s parameters.
AutoML
Google’s AutoML lets you perform the training with as few as 10-12 items (e.g. Vision AutoML requires a dozen or so images to start training). Google provides the rest of the training model.
DataProc can be used to build the model as well using SparkML. However, training takes longer. Deployment can be done via CloudML, in this scenario.
Summary
AutoML is the fastest option for training and deploying an AI Model.