MLOps Fundamentals CI/CD/CT Pipelines of ML with Azure Demo

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名前:	MLOps Fundamentals CI/CD/CT Pipelines of ML with Azure Demo
_DESCRIPTION_: Description Important Note: The intention of this course is to teach MLOps fundamentals and not Azure ML. Azure demo section is included as a proof to show the working of an end-to-end MLOps project. All the codes involved in pipeline are explained though. “MLOps is a culture with set of principles, guidelines defined in machine learning world for smooth implementation and productionization of Machine learning models.” Data scientists have been experimenting with machine learning models from long time, but to provide the real business value, they must be operationalized i.e. push the models to production. Unfortunately, due to the current challenges and an non systemization in ML lifecycle, 80% of the models never make it to production and remain stagnated as an academic experiment only. Machine Learning Operations (MLOps), emerged as a solution to the problem, is a new culture in the market and a rapidly growing space that encompasses everything required to deploy a machine learning model into production. As per the tech talks in market, 2021 is the year of MLOps and would become the mandate skill set for Enterprise ML projects. What’s included in the course ? MLOps core basics and fundamentals. What were the challenges in the traditional machine learning lifecycle management. How MLOps is addressing those issues while providing more flexibility and automation in the ML process. Standards and principles on which MLOps is based upon. Continuous integration (CI), Continuous delivery (CD) and Continuous training (CT) pipelines in MLOps. Various maturity levels associated with MLOps. MLOps tools stack and MLOps platforms comparisons. Quick crash course on Azure Machine learning components. An end-to-end CI/CD MLOps pipeline for a case study in Azure using Azure DevOps & Azure Machine learning. Who this course is for: Data scientists Data engineers ML engineers Devops engineers Requirements Basics of DevOps & Machine learning Last Updated 5/2021
YouTube動画:
カテゴリ:	Tutorials
言語:	English
合計サイズ:	855.54 MB
情報のハッシュ:	0BBEF67E95A3335A9F46AB05533095B06A2AE4CD
を追加することによって:	tutsnode
追加日:	2021-06-30 13:05:28
トレントステータス:	Torrent Verified

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[TutsNode.com] - MLOps Fundamentals CICDCT Pipelines of ML with Azure Demo/01 Introduction/001 What is MLOps.en.srt	5.95 kB
[TutsNode.com] - MLOps Fundamentals CICDCT Pipelines of ML with Azure Demo/01 Introduction/001 What is MLOps.mp4	13.89 MB
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[TutsNode.com] - MLOps Fundamentals CICDCT Pipelines of ML with Azure Demo/03 MLOps - A solution/001 Standards_Principles in MLOps.en.srt	8.34 kB
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[TutsNode.com] - MLOps Fundamentals CICDCT Pipelines of ML with Azure Demo/05 MLOps Tools_Platforms Stack/003 Which MLOps Platform to choose_.mp4	20.99 MB
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[TutsNode.com] - MLOps Fundamentals CICDCT Pipelines of ML with Azure Demo/10 Demo - CI_CD MLOps Pipeline/003 Code to publish the pipeline.en.srt	6.20 kB
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[TutsNode.com] - MLOps Fundamentals CICDCT Pipelines of ML with Azure Demo/11 BONUS/external-assets-links.txt	680.00 B

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MLOps Fundamentals CI/CD/CT Pipelines of ML with Azure Demo