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A Visual Introduction to Modern and Scalable Machine Learning Pipeline

Prodramp via YouTube

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Overview

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This visual introductory course presents the stages and components of a modern, scalable machine learning pipeline. It covers data preparation, model training and tuning, validation, deployment, inference, feature stores, and model registries.

Syllabus

- Start
- Content Intro
- ML Pipeline High level Intro
- Data Preparation
- Machine Learning Training/Tuning
- Model Validation
- Model Deployment
- Inference
- Feature Storeoff-line
- Model Registry
- Feature Storeonline
- Recap

Taught by

Prodramp

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