History of Data Science (Ep. 181)

Episode 181 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "History of Data Science (Ep. 181)" was published on December 19, 2021 and runs 39 minutes.

December 19, 2021 ·39m · Data Science at Home

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Summary

How did we get here? Who invented the methods data scientists use every day? We answer such questions and much more in this wonderful episode with Triveni Gandhi, Senior Data Scientist and Shaun McGirr, AI Evangelist at Dataiku. We cover topics about the history of data science, ethical AI and... This episode is brought to you by Dataiku With Dataiku, you have everything you need to build and deploy AI projects in one place, including easy-to-use data preparation and pipelines, AutoML, and advanced automation. and by Amethix Technologies Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business. References www.historyofdatascience.com

Episode Description

How did we get here? Who invented the methods data scientists use every day?

We answer such questions and much more in this wonderful episode with Triveni Gandhi, Senior Data Scientist and Shaun McGirr, AI Evangelist at Dataiku. We cover topics about the history of data science, ethical AI and...

This episode is brought to you by Dataiku

With Dataiku, you have everything you need to build and deploy AI projects in one place, including easy-to-use data preparation and pipelines, AutoML, and advanced automation.

and by Amethix Technologies

Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.

References

www.historyofdatascience.com