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2020 | OriginalPaper | Chapter

9. Data Preparation

Author : Tom Taulli

Published in: The Robotic Process Automation Handbook

Publisher: Apress

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Being Ready for AI and Process Mining

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previous chapter Deployment and Monitoring

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www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html

www.techrepublic.com/article/85-of-big-data-projects-fail-but-your-developers-can-help-yours-succeed/

This is from the author’s interview with Teradata’s Atif Kureishy in February 2019.

www.smartdatacollective.com/lessons-can-learn-bad-data-mistakes-made-throughout-history/

https://newsroom.fb.com/news/2019/03/technical-update-on-new-zealand/

https://towardsdatascience.com/simple-explanation-of-semi-supervised-learning-and-pseudo-labeling-c2218e8c769b

https://engineering.fb.com/ml-applications/advancing-state-of-the-art-image-recognition-with-deep-learning-on-hashtags/

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www.utsystem.edu/sites/default/files/documents/UT%20System%20Administration%20Special%20Review%20of%20Procurement%20Procedures%20Related%20to%20UTMDACC%20Oncology%20Expert%20Advisor%20Project/ut-system-administration-special-review-procurement-procedures-related-utmdacc-oncology-expert-advis.pdf

From the author’s interview with Seth Siegel, who is the partner, artificial intelligence and automation at Infosys Consulting, on December 5, 2019.

www.hollywoodreporter.com/news/geena-davis-unveils-partnership-disney-spellcheck-scripts-gender-bias-1245347

Title: Data Preparation
Author: Tom Taulli
Publisher: Apress
Book: The Robotic Process Automation Handbook
Print ISBN: 978-1-4842-5728-9

Electronic ISBN: 978-1-4842-5729-6

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-1-4842-5729-6_9

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