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Commit Virtual 2020: MLOps DevOps for Machine Learning
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Speaker: Monmayuri Ray
The practice of Devops - developing software and operationalizing the development cycle has been evolving for over a decade. Now, a new addition has joined this holistic development cycle: Machine Predictions. The emerging art and science of machine learning algorithms integrated into current operational systems is opening new possibilities for engineers, scientists, and architects in the tech world.
This presentation will take the audience on a journey in understanding the fundamentals of orchestrating machine predictions using MLOps in this ever-changing, agile world of software development. You’ll learn how to excel at the craft of DevOps for Machine Learning (ML). Monmayuri will unpack the theoretical constructs and show they apply to real-world scenarios.
The practice of Devops - developing software and operationalizing the development cycle has been evolving for over a decade. Now, a new addition has joined this holistic development cycle: Machine Predictions. The emerging art and science of machine learning algorithms integrated into current operational systems is opening new possibilities for engineers, scientists, and architects in the tech world.
This presentation will take the audience on a journey in understanding the fundamentals of orchestrating machine predictions using MLOps in this ever-changing, agile world of software development. You’ll learn how to excel at the craft of DevOps for Machine Learning (ML). Monmayuri will unpack the theoretical constructs and show they apply to real-world scenarios.
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