Understand how machine learning models can be trained from within Flyte, with an added advantage of orchestration benefits.
Train an XGBoost model on the Pima Indians Diabetes Dataset.
Use dynamic workflows to train a multiregion house price prediction model using XGBoost.
Train a neural network on MNIST with PyTorch and W&B
Data-parallel distributed training using Horovod on Spark.