Underwood todd (59 risultati)

Condizione: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included. Todd, Sue; Underwood, Emily (illustratore).

Paperback. Condizione: Very Good. Todd, Sue; Underwood, Emily (illustratore).

Condizione: New.

Condizione: New. Todd, Sue; Underwood, Emily (illustratore).

Paperback or Softback. Condizione: New. Who Needs a Forest Fire. Todd, Sue; Underwood, Emily (illustratore). Book.

Condizione: As New. Unread book in perfect condition. Todd, Sue; Underwood, Emily (illustratore).

Paperback. Condizione: New. Todd, Sue; Underwood, Emily (illustratore).

Condizione: New. Todd, Sue; Underwood, Emily (illustratore).

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Pamphlet. Condizione: Very Good. Vol 104, pp. 92-102, Illlus, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.

Condizione: New.

Condizione: New. In English.

Condizione: New. In English. Todd, Sue; Underwood, Emily (illustratore).

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Paperback. Condizione: Brand New. 44 pages. 10.00x8.00x0.11 inches. In Stock. Todd, Sue; Underwood, Emily (illustratore).

PF. Condizione: New. Todd, Sue; Underwood, Emily (illustratore).

Condizione: New. Todd, Sue; Underwood, Emily (illustratore).

Paperback. Condizione: Very Good. no jacket (paperback). First Edition. This paperback edition of Reliable Machine Learning is in excellent condition, with no visible signs of wear or damage. The cover and pages are intact and clean, and there are no inscriptions or library markings. The book does not include a dust jacket, as it is a paperback. Kate Dullea (illustratore).…

Condizione: acceptable. This copy has heavy highlighting.

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

Condizione: As New. Unread book in perfect condition. Todd, Sue; Underwood, Emily (illustratore).

Condizione: New.

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.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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.…

Condizione: New.