MLOps Simplified
Working at a small company requires a versatile approach to data science, encompassing everything from heavy-duty ETL to model deployment and monitoring. It's essential to grasp MLOps well enough to set up simple batch and real-time inference pipelines, rather than overcomplicating the process with specialized techniques. The landscape is changing, and the next generation should aspire to be open-source developers, reflecting the evolving nature of technology and innovation.In this clip
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Practical AI
Machine learning at small organizations
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