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
Word embedding and topic modelling on lee background corpus with Gensim
Data-parallel distributed training using Horovod on Spark.