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[Book-2021] Practical MLOps O'Reilly Book

Dockerfile 0.20% Python 5.03% Shell 0.01% Makefile 0.02% Jupyter Notebook 94.74%

practical-mlops-book's Introduction

Practical MLOps, an O'Reilly Book

This is a public repo where code samples are stored for the book Practical MLOps.

mlops-color

Tentative Outline

Chapter 1: Introduction to MLOps

Source Code Chapter 1:

Chapter 2: MLOps Foundations

Source Code Chapter 2:

Chapter 3: Machine Learning Deployment In Production Strategies

Source Code Chapter 3:

Chapter 4: Continuous Delivery for Machine Learning Models

Source Code Chapter 4:

Chapter 5: AutoML

Source Code Chapter 5:

Chapter 6: Monitoring and Logging for Machine Learning

Source Code Chapter 6:

Chapter 7: MLOps for AWS

Source Code Chapter 7:

Chapter 8: MLOps for Azure

Source Code Chapter 8:

Chapter 9: MLOps for GCP

Source Code Chapter 9:

Chapter 10: Machine Learning Interoperability

Source Code Chapter 10:

Chapter 11: Building MLOps command-line tools

Source Code Chapter 11:

Chapter 12: Machine Learning Engineering and MLOps Case Studies

Source Code Chapter 12:

Community Recipes

This section includes "community" recipes. Many "may" be included in the book if timing works out.

References

Next Steps: Take Coursera MLOps Course

cloud-specialization

practical-mlops-book's People

Contributors

noahgift avatar alfredodeza avatar destefani avatar

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