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 onConceptual frameworks for understanding how ML "loops" workHow effective productionization can make your ML systems easily monitorable, deployable, and operableWhy ML systems make production troubleshooting more difficult, and how to compensate accordinglyHow ML, product, and production teams can communicate effectively
You can read this ebook online in a web browser, without downloading anything or installing software.
This ebook is available in file types:
This ebook is available in:
After you've bought this ebook, you can choose to download either the PDF version or the ePub, or both.
The publisher has supplied this book in DRM Free form with digital watermarking.
You can read this eBook on any device that supports DRM-free EPUB or DRM-free PDF format.
The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.
To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:
To download and read this eBook on a PC or Mac:
The publisher has set limits on how much of this ebook you may print or copy. See details.