Reliable Machine Learning: Applying SRE Principles to ML in Production (eng)
Language: English
Published by O'Reilly Media, 2022
- Softcover
- New
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
AbeBooks seller since October 11, 2022
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- Title
- Reliable Machine Learning: Applying SRE Principles to ML in Production (eng)
- Author
- Chen, Cathy
- Publisher
- O'Reilly Media
- Publication year
- 2022
- Condition
- new
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1098106229
- ISBN 13
- 9781098106225
- Item weight
- 1.05 kilograms
"Synopsis" may belong to another edition of this title.
About the Author
Niall Murphy has worked in Internet infrastructure since the mid-1990s, specializing in large online services. He has worked with all of the major cloud providers from their Dublin, Ireland offices, and most recently at Microsoft, where he was global head of Azure Site Reliability Engineering (SRE). His first exposure to machine learning came with managing the Ads ML teams in Google's Dublin office and working with Todd Underwood in Pittsburgh, though it has continued to fascinate him since. He is the instigator, co-author, and editor of the two Google SRE books, and he is probably one of the few people in the world to hold degrees in Computer Science, Mathematics, and Poetry Studies. He lives in Dublin with his wife and two children, and works on a startup involving ML in the SRE space
Kranti K. Parisa is currently the Vice President & Head of Product Engineering at Dialpad. His teams build large scale, cloud native real-time business communications & collaboration software with industry leading in-house AI/ML & Telephony technology. Before Dialpad, he has led teams that are responsible for search and personalization platforms, products and services at Apple. Kranti was a cofounder, CTO and technical advisor of multiple start-ups focusing on cloud computing, SaaS, and enterprise search. He has contributed to the Apache Lucene/Solr community and co-authored the book Apache Solr Enterprise Search Server. For his outstanding contributions to Search & Discovery, U.S. Government has recognized him as a Person of Extraordinary Ability (EB1A).
D. Sculley is currently the CEO of Kaggle and GM of Third Party ML Ecosystems at Google, and previously has been a Director in the Google Brain Team and the lead of some of Google's most critical production machine learning pipelines. He has focused on issues of technical debt in machine learning, along with robustness and reliability of models and pipelines, and has led teams applying machine learning to problems as diverse as ad click through prediction and abuse prevention to protein design and scientific discovery. Additionally, he has helped to create Google's Machine Learning Crash Course, which has taught ML to millions of people worldwide.
Todd Underwood is a Senior Director at Google and leads Machine Learning SRE. He is also Site Lead for Google's Pittsburgh office. ML SRE teams build and scale internal and external ML services, and are critical to almost every significant product at Google. Before working at Google, Todd held a variety of roles at Renesys (in charge of operations, security, and peering for Internet intelligence services) now part of Oracle's Cloud, and before that he was Chief Technology Officer of Oso Grande, an independent Internet service provider in New Mexico.
"About the title" may belong to another edition of this title.
Brook Bookstore On Demand
Napoli, NA, Italy
AbeBooks seller since October 11, 2022
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Brook Bookstore On Demand offers a wide selection of books with a continuously updated catalog and fast shipments all over the world. We hold distribution rights with all of the publishers we promote and are in continuous search of new interesting titles to propose to our customers. We are part of Brandon Group SRL (an Italian company) and all of the orders are shipped from Europe. Depending on availability orders will be picked from our different warehouses.
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