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DevOps for Machine Learning and other Half-Truths: Processes and Tools for the ML Lifecycle
Traditional software development has a Software Development Life Cycle, coalesced around a set of tools and processes. In contrast, machine learning is a tangle of tools, languages, and infrastructures, with almost no standardization. To build and deploy enterprise-ready machine learning models that generate real value, organizations need to consider a standard ML focused life cycle that supports IT’s Operations Management and Infrastructure groups.

Jun 17, 2020 12:00 PM in Montreal

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