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This course examines modern machine learning pipelines, covering data preparation, training frameworks, AutoML, MLOps architecture, model registries, ONNX transformation, model artifacts, and feature stores.
Syllabus
- Video starts
- Content intro
- Deep Dive Starts
- Data Preparation and Pre-processing
- Machine Learning Frameworks
- ML Training Frameworks
- Statistical ML and Deep Learning
- AutoML & Blending/Stacking
- ML Ops Platforms
- MLOps Architecture
- Model Registry
- Model Transformation ONNX
- Data, Code and Model Artifacts
- Feature Store
- Recap
Taught by
Prodramp