How to train your ML models directly from GitHub with MLOps

Presented by

Yochay Ettun

About this talk

Join our hands-on workshop series and deep dive into MLOps and machine learning with CEO. Each session will guide you through a hands on ML project using CORE – a free ML platform we released for the data science community – and tools and frameworks like TensorFlow, Spark on Kubernetes, GitHub and more to help you build and deploy high impact machine learning models. You'll learn about MLOps and how to reduce technical complexity so you can focus on the real magic - algorithms.

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Learn from various data science and engineering experts about key topics for successful machine learning. will provide you with hands-on tutorials and workshops about the top methods in data science team management, and MLOps getting you from research to production. Stay ahead with the latest developments in auto-adaptive machine learning and CI/CD for machine learning. Learn the latest methods for machine learning model management and deployment with open source tools. Find answers on how to enhance team collaboration in your data science department, and smoothly bridge science to engineering.