Kerem Tomak | Learning AutoML. Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration (2026) [PDF, EPUB]
Автор: Kerem Tomak
Издательство: O’Reilly Media, Inc.
ISBN: 979-8341643154
Жанр: Software Engineering, Software Design Tools, Software Development
Язык: Английский
Формат: PDF, EPUB
Качество: Изначально электронное (ebook)
Иллюстрации: Цветные и черно-белые
Описание:Learning AutoML is your practical guide to applying automated machine learning in real-world environments. Whether you're a data scientist, ML engineer, or AI researcher, this book helps you move beyond experimentation to build and deploy high-performing models with less manual tuning and more automation. Using AutoGluon as a primary toolkit, you'll learn how to build, evaluate, and deploy AutoML models that reduce complexity and accelerate innovation.
Author Kerem Tomak shares insights on how to integrate models into end-to-end deployment workflows using popular tools like Kubeflow, MLflow, and Airflow, while exploring cross-platform approaches with Vertex AI, SageMaker Autopilot, Azure AutoML, Auto-sklearn, and H2O.ai. Real-world case studies highlight applications across finance, healthcare, and retail, while chapters on ethics, governance, and agentic AI help future-proof your knowledge.
Читать фрагмент Build AutoML pipelines for tabular, text, image, and time series data
Deploy models with fast, scalable workflows using MLOps best practices
Compare and navigate today's leading AutoML platforms
Interpret model results and make informed decisions with explainability tools
Explore how AutoML leads into next-gen agentic AI systems
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