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Published Book: "Learning AutoML"
Learning AutoML captures my journey in building ML applications in various settings, utilizing autogluon package as a tool to demonstrate different dimensions of building an end-to-end solution with AutoML.
The book covers:
- Building AutoML pipelines for tabular, text, image, and time series data
- Deploying models with fast, scalable workflows using MLOps best practices
- Comparing and navigating today's leading AutoML platforms
- Interpreting model results and making informed decisions with explainability tools
- Exploring how AutoML leads into next-gen agentic AI systems
Learning AutoML is scheduled for late 2025. An early draft of the first two chapters is available on the O'Reilly platform: https://lnkd.in/ev8KD3zR
