Babushkin valerii (22 resultados)

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Hardback. Condición: New. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.In Machine Learning System Design: With end-to-end examples you will learn: The big picture of machine learning system designAnalyzing a problem space to identify the optimal ML solutionAce ML system design interviewsSelecting appropriate metrics and evaluation criteriaPrioritizing tasks at different stages of ML system designSolving dataset-related problems through data gathering, error analysis, and feature engineeringRecognizing common pitfalls in ML system developmentDesigning ML systems to be lean, maintainable, and extensible over time Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system.…

Hardback. Condición: Very Good. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.In Machine Learning System Design: With end-to-end examples you will learn: The big picture of machine learning system designAnalyzing a problem space to identify the optimal ML solutionAce ML system design interviewsSelecting appropriate metrics and evaluation criteriaPrioritizing tasks at different stages of ML system designSolving dataset-related problems through data gathering, error analysis, and feature engineeringRecognizing common pitfalls in ML system developmentDesigning ML systems to be lean, maintainable, and extensible over time Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condición: Very Good. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.

Condición: New.

Condición: New. 1st edition NO-PA16APR2015-KAP.

Condición: New.

Paperback / softback. Condición: New. New copy - Usually dispatched within 2 working days.

Condición: New.

Condición: As New. Unread book in perfect condition.

paperback. Condición: New. Special order direct from the distributor.

Paperback. Condición: Brand New. 300 pages. 9.26x7.38x9.25 inches. In Stock.

paperback. Condición: Sehr gut. 300 Seiten; 9781633438750.2 Gewicht in Gramm: 1.

Taschenbuch. Condición: Neu. Neuware - From the back cover: In Machine Learning System Design: With end-to-end examples you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of the life cycle is covered, from information gathering to keeping your system well-serviced. Each stage includes its own handy checklist of requirements and is fully illustrated with real-world examples, including interesting anecdotes from the author's own careers. You'll follow two example companies each building a new ML system, exploring how their needs are expressed in design documents and learning best practices by writing your own. Along the way, you'll learn how to ace ML system design interviews, even at highly competitive FAANG-like companies, and improve existing ML systems by identifying bottlenecks and optimizing system performance. About the reader: For readers who know the basics of both software engineering and machine learning. Examples in Python.…

Hardcover. Condición: new. Hardcover. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.In Machine Learning System Design: With end-to-end examples you will learn: The big picture of machine learning system designAnalyzing a problem space to identify the optimal ML solutionAce ML system design interviewsSelecting appropriate metrics and evaluation criteriaPrioritizing tasks at different stages of ML system designSolving dataset-related problems through data gathering, error analysis, and feature engineeringRecognizing common pitfalls in ML system developmentDesigning ML systems to be lean, maintainable, and extensible over time Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardback. Condición: New. Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems.In Machine Learning System Design: With end-to-end examples you will learn: The big picture of machine learning system designAnalyzing a problem space to identify the optimal ML solutionAce ML system design interviewsSelecting appropriate metrics and evaluation criteriaPrioritizing tasks at different stages of ML system designSolving dataset-related problems through data gathering, error analysis, and feature engineeringRecognizing common pitfalls in ML system developmentDesigning ML systems to be lean, maintainable, and extensible over time Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale. Authors Arseny Kravchenko and Valeri Babushkin have filled this unique handbook with campfire stories and personal tips from their own extensive careers. You'll learn directly from their experience as you consider every facet of a machine learning system, from requirements gathering and data sourcing to deployment and management of the finished system.…

Condición: gut. 2024. Machine Learning System Design: With End-to-end Examples In englischer Sprache. pages.