Description: Reliable Machine Learning Applying SRE Principles to ML in Production New Stock 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 Import Duty and Taxes As a Seller, we are unable to anticipate import duties or taxes for buyer country in advance. Our selling price does not include them. So, it is buyers responsibility. Payment We accept payment by Payoneer. Shipping Your order will be shipped within 3-4 business days of receiving payment. In the very unlikely event that your item is lost or damaged during post, then We are responsible and will issue either a full refund or replacement. NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY. THE COMPANY MAY CHANGE ITEM DESIGN / PATTERN / PACKAGING FROM TIME TO TIME. WE WILL SHIP THE LATEST STOCK AVAILABLE WITH US. Returns If our product condition is not correct, you can return the product and get a full refund or exchange the product for another one, You can return a product for up to 30 days from the date you purchased it minus shipping and other fees. Feedback Your feedback is important for us. Please contact us if you have any problem with this product, we will solve that problem because we will always be happy to help you. Please Contact me Before open a case or negative feedback. Please don't open a case or leave a negative feedback. Thank you We can't buy happiness, but We can buy something for happiness.
Price: 57.99 USD
Location: DELHI, DELHI
End Time: 2024-11-13T10:48:40.000Z
Shipping Cost: 0 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Publication Year: 2022
Type: Textbook
Format: Trade Paperback
Subject Area: Computers
Language: English
Publication Name: Reliable Machine Learning
Author: Niall Murphy, Cathy Chen, Kranti Parisa, Todd Underwood, D. Sculley
Publisher: O'reilly Media, Incorporated
Subject: Intelligence (Ai) & Semantics, Natural Language Processing, Neural Networks, Data Processing, Computer Vision & Pattern Recognition