Machine Learning Architect

Category: AutoML

  • AutoML versus CloudML versus SparkML (DataProc)

    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…