Develop and Deploy a Machine Learning Pipeline in 30 Minutes with Ploomber
EuroPython Conference via YouTube
Overview
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Discover how to develop and deploy a Machine Learning pipeline in just 30 minutes using Ploomber in this informative EuroPython 2021 conference talk. Learn about Ploomber's workflow orchestrator that automatically infers task execution order, its project layout for quick bootstrapping, and its Jupyter-integrated development environment. Explore how Ploomber bridges the gap between interactive data exploration and production deployment, allowing data scientists to focus on analysis rather than learning unfamiliar frameworks. Gain insights into exporting projects to production systems like Kubernetes, Airflow, and AWS Batch without code changes. Ideal for data scientists with Machine Learning project experience seeking to enhance their workflow, this talk demonstrates an efficient pipeline development process using Jupyter and seamless deployment with Ploomber.
Syllabus
Eduardo Blancas - Develop and deploy a Machine Learning pipeline in 30 minutes with Ploomber
Taught by
EuroPython Conference