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Add Apress book
What is this tool for?
A new book published by Apress, 2023. It covers MLOps concepts for beginner - intermediate readers with a statistical background looking to integrate MLOps concepts into their R&D data science process.
What's the difference between this tool and similar ones?
Given the audience the book starts with Bayesian programming (Bayes theorem, pymc3, building a Bayesian logistic regression model from scratch using scipy and other tools) and shows how you can integrate MLFlow and MLOps tools into the workflow. It covers various aspects of ML lifecycle from data cleaning, feature engineering through to model training and deployment. By the end of the book the reader has built their own MLOps toolkit with data versioning, feature stores and basic experiment tracking with learning resources.
The unique aspect of the book is that it covers data ethics at the end with real examples from various industries.
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