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Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy
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Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy

Reliable Machine LearningApplying SRE Principles to ML in Production

Author(s): Cathy Chen, Niall Richard Murphy, Kranti Parisa, D Sculley, Todd Underwood

Format: Paperback

Publisher: O'Reilly Media, United States

Imprint: O'Reilly Media

ISBN-13: 9781098106225, 978-1098106225

Synopsis

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 y

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Reliable Machine Learning: Applying SRE Principles to ML in Production by Cathy

Reliable Machine LearningApplying SRE Principles to ML in Production

Author(s): Cathy Chen, Niall Richard Murphy, Kranti Parisa, D Sculley, Todd Underwood

Format: Paperback

Publisher: O'Reilly Media, United States

Imprint: O'Reilly Media

ISBN-13: 9781098106225, 978-1098106225

Synopsis

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 y

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£42.09

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£53.03
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Reliable Machine Learning by Cathy Chen (Paperback Book)

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Reliable Machine Learning: Applying SRE Princip. Chen, Murphy, Parisa, Scull**

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Product Description

Reliable Machine LearningApplying SRE Principles to ML in Production

Author(s): Cathy Chen, Niall Richard Murphy, Kranti Parisa, D Sculley, Todd Underwood

Format: Paperback

Publisher: O'Reilly Media, United States

Imprint: O'Reilly Media

ISBN-13: 9781098106225, 978-1098106225

Synopsis

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 y

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format

trade paperback

Language

english

type

textbook

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