MLOps Patterns
General Patterns
Stanford CS329 - CS 329S: Machine Learning Systems Design - the course goes in-depth about how ML systems are built, and how to debug, root cause, monitor, etc.
HyperparameterHunter, Hyperopt, mlflow, unit test, concept drifts, using python and kafka
Patterns in Practice
An MLOps End-to-End system, i.e., "You dont need a bigger boat", using MetaFlow, Snowflake, DBT, Prefect, Great Expectations, Weights & Biases, Sagemaker, Lambda
A simplistic E2E system - Snowflake, DBT, S3, CometML, Reclist, SageMaker.
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