Pie, AI Organization Tools and Workflows for Modern Data Scientist

 

Whether you’re working on a pet project or a complex machine learning system that will scale to millions of users, training a model is only a small part of the data science workflow.

Is your code style consistent? Are your pipelines reproducible? Can you run them on your laptop as well as on the cloud without rewriting them? Is your model server ready for the onslaught of users?

Do you enjoy these tasks with the tools you are currently using or are they just making your life more difficult?

This Public Lecture Session titled: ‘From Research to Production: Organization, Tools, and Workflows for the Modern Data Scientist’ is a unique opportunity to learn what are the best, simplest, and fastest tools and techniques to get your machine learning work from research to production.

You will learn the modern ways to organize your code and project files, to create reproducible pipelines that work on laptops as well as on the cloud, to install dependencies in a modern way, and to speed up the model inference servers by 14X while leveraging some of the cleanest and beautiful APIs in the market.

Venue: Teal House, coworking space in Andheri West