Title of the talk/workshop
Building Scalable Data Pipelines with Python & PyTorch
Abstract of the talk/workshop
In this session, we will explore practical patterns and best practices for building robust, high-performance data pipelines for machine learning models using Python and PyTorch. We will cover efficient asynchronous data loading, memory optimization techniques, and seamless integration with production workflows.
Category of the talk/workshop
Data Science, Machine Learning, and AI
Duration (including Q&A)
30 Minutes (20 mins presentation + 10 mins Q&A)
Level of Audience
Intermediate
Speaker Bio
- Speaker Bio: Data Solutions Specialist
- Company/College: Falcon informatics
- Email: zoya@falconinformatics.com
- Years of Exp: 3
Prerequisites(if any)
- Basic understanding of Python async/await and PyTorch fundamentals.
- Installed Python 3.10+ and PyTorch (optional for code follow-along).
Title of the talk/workshop
Building Scalable Data Pipelines with Python & PyTorch
Abstract of the talk/workshop
In this session, we will explore practical patterns and best practices for building robust, high-performance data pipelines for machine learning models using Python and PyTorch. We will cover efficient asynchronous data loading, memory optimization techniques, and seamless integration with production workflows.
Category of the talk/workshop
Data Science, Machine Learning, and AI
Duration (including Q&A)
30 Minutes (20 mins presentation + 10 mins Q&A)
Level of Audience
Intermediate
Speaker Bio
Prerequisites(if any)