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Submission: On April 25 via api from CH — Scanned from DE
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. A new data-centric approach to building robust MLOps practices A NEW DATA-CENTRIC APPROACH TO BUILDING ROBUST MLOPS PRACTICES Discover the fastest path to get machine learning models to production. The Big Book of MLOps will show you how data engineers, data scientists, and machine learning engineers can build and collaborate on a common platform, using powerful and open frameworks such as Delta Lake for data pipelines, MLflow for model management and Databricks Workflows for automation. In this eBook, you’ll learn: * The essential components of an MLOps reference architecture * The key stakeholders to involve as you build and deploy machine learning applications * How to leverage the same platform for data and models and get to production faster * How to monitor data and models through the complete ML lifecycle with end-to-end lineage * Best practices to guide your MLOps planning and decision-making Get the eBook To opt-out from further communication, please mark this check box. To know more about how MachBizz process your personal data please read our privacy statement. View this email in your browser You are receiving this email because of your relationship with ittech.report. Please reconfirm your interest in receiving emails from us. If you do not wish to receive any more emails, you can unsubscribe here. This message was sent to technews@ittech.report by technews@ittech.report 16192 Coastal Hwy, Lewes, Delaware, 19958 Unsubscribe | Manage Subscription | Report Abuse