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Ten Things to Know About ModelOps
book

Ten Things to Know About ModelOps

by Thomas Hill, Mark Palmer, Larry Derany
June 2022
Beginner to intermediate
41 pages
59m
English
O'Reilly Media, Inc.
Content preview from Ten Things to Know About ModelOps

References

Burt, Andrew. “New AI Regulations Are Coming. Is Your Organization Ready?”. Harvard Business Review, April 30, 2021.

Firn, Michael. “Why Every Marketer Should Consider Uplift Modeling”. Towards Data Science, December 8, 2020.

Gartner. “Analytics and Business Intelligence Platforms Reviews and Ratings: What Are Analytics and Business Intelligence Platforms?”. 2021a.

Gartner. “Gartner Glossary: ModelOps”. 2021b.

Gartner. “How to Use Citizen Data Scientists to Maximize Your D&A Strategy”. 2021c.

Gualtieri, Mike. “The Forrester Wave™: Streaming Analytics, Q2 2021”. Forrester, June 7, 2021.

Hill, Kashmir. “How Target Figured Out a Teen Girl Was Pregnant Before Her Father Did”. Forbes, February 16, 2021.

Hill, Tom, and Mark Palmer. “Dynamic Learning 101”. Techno Sapien, September 9, 2021.

O’Neill, Brian T. “Failure Rates for Analytics, AI, and Big Data Projects = 85%—Yikes!”. Designing for Analytics, July 23, 2019.

ONNX. “Open Neural Network Exchange”. Accessed December 21, 2021.

Sweenor, David et al. ML Ops: Operationalizing Data Science. O’Reilly, 2020.

U.S. Department of Health and Human Services. Food and Drug Administration. “CFR—Code of Federal Regulations Title 21: Part 11, Electronic Records; Electronic Signatures”. 2021.

U.S. Department of Health and Human Services. Food and Drug Administration. Guidance for Industry—Process Validation: General Principles and Practices. 2011.

Venturebeat staff. “Why Do 87% of Data Science Projects Never Make It into Production?” ...

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Publisher Resources

ISBN: 9781098133474