Automating Data Quality Monitoring at Scale: Scaling Beyond Rules with Machine Learning

Author:   Jeremy Stanley ,  Paige Schwartz
Publisher:   O'Reilly Media
ISBN:  

9781098145934


Pages:   170
Publication Date:   30 January 2024
Format:   Paperback
Availability:   Not yet available   Availability explained
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Automating Data Quality Monitoring at Scale: Scaling Beyond Rules with Machine Learning


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Author:   Jeremy Stanley ,  Paige Schwartz
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
ISBN:  

9781098145934


ISBN 10:   1098145933
Pages:   170
Publication Date:   30 January 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Jeremy Stanley is co-founder and CTO at Anomalo. Prior to Anomalo, Jeremy was the VP of Data Science at Instacart, where he led machine learning and drove multiple initiatives to improve the company's profitability. Previously, he led data science and engineering at other hyper-growth companies like Sailthru. He's applied machine learning and AI technologies to everything from insurance and accounting to ad-tech and last-mile delivery logistics. He's also a recognized thought leader in the data science community with hugely popular blog posts like Deep Learning with Emojis (not Math). Jeremy holds a BS in Mathematics from Wichita State University and an MBA from Columbia University. Paige Schwartz is a professional technical writer at Anomalo who has worked with clients such as Airbnb, Grammarly, and Samsara, as well as successful startups like CodeSignal, Tecton, Clerky, and Fiddler. She specializes in communicating complex software engineering topics to a general audience and has spent her career working with machine learning and data systems, including 5 years as a product manager on Google Search. She holds a joint BA in Computer Science and English from UC Berkeley.

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