Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Reliable Machine Learning : Applying SRE Principles to ML in Production - Cathy Chen

Reliable Machine Learning

Applying SRE Principles to ML in Production

By: Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood

eText | 12 October 2021 | Edition Number 1

At a Glance

eText

$75.89

or 4 interest-free payments of $18.97 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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
on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceComputer VisionNatural Language & Machine TranslationDatabasesData Capture & AnalysisNeural Networks & Fuzzy SystemsMachine Learning

More in Computer Vision

Mastering Invideo AI - Robert Keyser

eBOOK

Mastering Invideo AI

eBook

$11.99

Mastering Chat GPT - Robert Keyser

eBOOK

Mastering Chat GPT

eBook

$11.99

Everyday AI - Guenter Schamel

eBOOK

Everyday AI

eBook

$7.99

A I(M) Here to Stay - Jonathon Wetzel

eBOOK

A I(M) Here to Stay

eBook

$15.99

This product is categorised by