MLflow - Machine Learning Operations (CmU - PCM) - LibGuides at Nanyang Polytechnic Library

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[e-Book Chapter Title] Managing the Machine Learning Experiment Lifecycle with MLflow by Adi Polak [from e-Book] "Scaling Machine Learning with Spark" via O'Reilly for Higher Education: https://learning.oreilly.com/library/view/scaling-machine-learning/9781098106812/
ISBN: 9781098106812
Publication Date: 2023
[e-Book Chapter Title] Experimentation in action: Finalizing an MVP with MLflow and runtime optimization by Ben Wilson [from e-Book] "Machine Learning Engineering in Action" via O'Reilly for Higher Education: https://learning.oreilly.com/library/view/machine-learning-engineering/9781617298714/
ISBN: 9781617298714
Publication Date: 2022
[e-Book Chapter Title] Introducing MLflow by Natu Lauchande [from e-Book] "Machine Learning Engineering with MLflow" via O'Reilly for Higher Education: https://learning.oreilly.com/library/view/machine-learning-engineering/9781800560796/
ISBN: 9781800560796
Publication Date: 2021
[e-Book Chapter Title] Introduction to MLflow by Sridhar Alla; Suman Kalyan Adari [from e-Book] "Beginning MLOps with MLFlow" via O'Reilly for Higher Education: https://learning.oreilly.com/library/view/beginning-mlops-with/9781484265499/
ISBN: 9781484265499
Publication Date: 2020

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Understand MLflow In this course, Lynn Langit digs into patterns, tools, and best practices that can help developers and DevOps specialists use Azure Databricks to efficiently build big data solutions on Apache Spark.
Getting started with MLflow and MLflow Tracking In this course, MLOps expert Noah Gift introduces you to the basics of tracking, gives you details on why you need to track your models in production, and shows you some telemetry. Noah gets you started with MLflow and MLflow Tracking, open-source MLflow implementation, uploading DBFS to AutoML, and end-to-end ML with Databricks and MLflow.
Log, load, register, and deploy MLflow Models In this course, MLOps expert Noah Gift introduces you to MLflow models and steps you through the process of creating them.
End to End ML with MLFlow and Databricks In this course, learn how to use Rust to build high-performance data pipelines that you can use in data engineering, ML Ops, and traditional software engineering.

Open Source Web Resources

Resources on MLflow Contains the latest blog posts and documents on MLflow.
MLflow on Github Open access resource.
ML lifecycle management using MLflow This article describes how MLflow is used in Databricks for machine learning lifecycle management. It also includes examples that introduce each MLflow component and links to content that describe how these components are hosted within Databricks.
MLflow Models - Dataiku DSS 12 documentation Documentation on MLflow Models.
Guides on MLflow from ZenML The MLflow Experiment Tracker is an flavor provided with the MLflow ZenML integration that uses to log and visualize information from your pipeline steps.

Machine Learning Operations (CmU - PCM): MLflow

Introduction to MLflow

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MLflow-related Videos

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