MLOps: Continuous delivery and automation pipelines in machine learning

MLOps: Continuous delivery and automation pipelines in machine learning

This document discusses techniques for implementing and automating continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning (ML) systems. Data science and ML are becoming core capabilities for solving complex real-world problems, transforming industries, and delivering value in all domains. Currently, the ingredients for applying effective ML are available to you: Therefore, many businesses are investing in their data science teams and ML c

2 mentions: @yurfuwa@hiamitabha
Date: 2020/02/22 02:21

Referring Tweets

@yurfuwa SpeakerDeckちゃんとGoogleSlideの相性が悪くて泣く泣くリンク死んでるのですが、MLOpsレベルについてはこちらをどうぞ t.co/nBiWX0eBEI
@hiamitabha A very interesting writeup on MLOps that a colleague recommended me to read... t.co/cErSruolS2

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