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Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.
By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.
You'll examine:- What ML is: how it functions and what it relies on
- Conceptual frameworks for understanding how ML "loops" work
- How effective productionization can make your ML systems easily monitorable, deployable, and operable
- Why ML systems make production troubleshooting more difficult, and how to compensate accordingly
- How ML, product, and production teams can communicate effectively
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Reliable Machine Learning
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Reliable Machine Learning
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RELIABLE MACHINE LEARNING
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Reliable Machine Learning
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Paperback. Condizione: New. Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.You'll examine:What ML is: how it functions and what it relies onConceptual frameworks for understanding how ML "loops" workEffective "productionization," and how it can be made easily monitorable, deployable, and operableWhy ML systems make production troubleshooting more difficult, and how to get around themHow ML, product, and production teams can communicate effectively. Codice articolo LU-9781098106225
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Reliable Machine Learning: Applying Sre Principles to ML in Production (Paperback or Softback)
Editore:
O'Reilly Media 10/25/2022, 2022
ISBN 10: 1098106229
ISBN 13: 9781098106225
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Paperback or Softback. Condizione: New. Reliable Machine Learning: Applying Sre Principles to ML in Production 1.5. Book. Codice articolo BBS-9781098106225
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Reliable Machine Learning
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
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Paperback. Condizione: New. Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.You'll examine:What ML is: how it functions and what it relies onConceptual frameworks for understanding how ML "loops" workEffective "productionization," and how it can be made easily monitorable, deployable, and operableWhy ML systems make production troubleshooting more difficult, and how to get around themHow ML, product, and production teams can communicate effectively. Codice articolo LU-9781098106225
Quantità: Più di 20 disponibili
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Reliable Machine Learning: Applying SRE Principles to ML in Production
Editore:
O'Reilly Media, Inc, USA, 2022
ISBN 10: 1098106229
ISBN 13: 9781098106225
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Paperback / softback
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209. Codice articolo C9781098106225
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