Explore a visual mind-map video that delves into the heart of modern and scalable machine learning pipelines. Gain insights into the evolution of machine learning infrastructure since 2010 and discover the advanced stages and actionable components that make up today's complex ecosystem. Learn how various actions at each stage synchronize to solve complex problems and deliver effective results. Follow the comprehensive timeline covering key topics such as data preparation, machine learning training and tuning, model validation, deployment, inference, feature stores (offline and online), and model registry. Enhance your understanding of the intricate processes involved in developing and implementing sophisticated machine learning solutions.

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