Is your Data Good Enough?The old adage — “Garbage in, Garbage out” — applies to Machine Learning; if your data is bad, so will be the AI/ML model trained by it. At…Sep 12, 2023Sep 12, 2023
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Get Your Data Right Prior To Training MLCEO of Datanomers, with a vision to Democratize Machine Learning.Feb 22, 2022Feb 22, 2022
Trusted Man-Machine Collaboration: Considerations For Implementing Transparent Machine LearningCEO of Datanomers,with a vision to Democratize Machine Learning.Feb 22, 2022Feb 22, 2022
A Powerful Use Case For Transparent ML: Make Customer Insights ActionableCEO of Datanomers, with a vision to Democratize Machine Learning.Feb 22, 2022A response icon1Feb 22, 2022A response icon1
Guidelines for Transparent Machine LearningWhat is Transparent Machine Learning?Jul 20, 2021Jul 20, 2021
Trusted Man-Machine Collaboration: Considerations For Implementing Transparent Machine LearningCEO of Datanomers,What is transparent ML? with a vision to Democratize Machine Learning.Jul 20, 2021Jul 20, 2021
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Published inEazyMLCouncil Post: Transparent Machine Learning Powers Business IntelligenceCEO of Datanomers, with a vision to Democratize Machine Learning.Jan 20, 2021Jan 20, 2021
