Machine Learning System Design (Final) by Valerii Babushkin (.PDF)

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File Size: 28.7 MB

Machine Learning System Design: With end-to-end examples (Final Release) by Valerii Babushkin, Arseny Kravchenko
Requirements: .PDF reader, 28.7 MB
Overview: Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable Machine Learning systems. From information gathering to release and maintenance, Machine Learning System Design guides you step-by-step through every stage of the Machine Learning process. Inside, you’ll find a reliable framework for building, maintaining, and improving Machine Learning systems at any scale or complexity. Designing and delivering a Machine Learning system is an intricate multistep process that requires many skills and roles. Whether you’re an engineer adding Machine Learning to an existing application or designing a ML system from the ground up, you need to navigate massive datasets and streams, lock down testing and deployment requirements, and master the unique complexities of putting ML models into production. That’s where this book comes in. For readers who know the basics of software engineering and Machine Learning. Examples in Python.
Genre: Non-Fiction > Tech & Devices

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