Machine learning at scale
A Substack newsletter providing weekly expert insights on scalable machine learning systems and engineering practices.
About Machine learning at scale
Machine Learning at Scale is a dedicated Substack publication by Ludovico Bessi, offering weekly insights into advanced machine learning systems from leading tech firms. It aims to help ML engineers enhance their skills and become highly effective by covering topics like RAG architectures, LLM optimization, training techniques, and system design. The publication also features essential tools used by ML professionals and deep dives into specific technical areas.
How to Use
Subscribe to Machine Learning at Scale on Substack to receive weekly updates directly in your inbox. Explore past articles via the website and access additional resources like the upcoming YouTube channel and ML system design course.
Features
- Upcoming YouTube channel for visual learning
- In-depth coverage of ML topics
- Future ML system design course
- Tools and techniques used by ML engineers
- Weekly curated insights
- Archive of previous articles for reference
Use Cases
- Designing scalable ML systems
- Enhancing skills as an ML engineer
- Learning advanced ML architectures
- Staying current on ML tools and techniques
Best For
Pros
- Curated, high-quality content
- Focus on practical applications
- Insights from a Google ML expert
- Covers essential ML topics
Cons
- YouTube channel and course are upcoming
- Currently mainly text-based content
- Requires Substack subscription