Learning AutoML (Final Release) by Kerem Tomak (.ePUB)+
File Size: 24.1 MB
Learning AutoML: Automating ML Pipelines with Autogluon, Leading Frameworks, and Real-World Integration (Final Release) by Kerem Tomak
Requirements: .ePUB, .PDF reader, 24.1 MB | True PDF, True EPUB
Overview: 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. This book is designed for anyone who wants to understand and effectively apply automated Machine Learning, regardless of their current technical background. The content is structured to serve multiple audiences simultaneously, with different readers likely to focus on various sections based on their needs and experience levels. Whether you’re looking to automate existing Machine Learning workflows, explore new applications of AI in your organization, or simply understand how AutoML is transforming the Data Science landscape, this book provides the knowledge and practical guidance you need to succeed.
Genre: Non-Fiction > Tech & Devices
Free Download links: