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489: Monetizing Machine Learning episode artwork

EPISODE · Jul 20, 2021 · 1H

489: Monetizing Machine Learning

from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn

Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization. In this episode you will learn: V-Squared [4:59] Vin’s online content [17:18] Low-code/no-code in data science [25:33] Top five gap skills [35:19] Data sets for insights on consumers and targeting [40:26] Are there socially beneficial data science and machine learning applications? [43:16] The most difficult data science problem Vin ever faced [50:39] Additional materials: www.superdatascience.com/489

Episode metadata supplied by the publisher feed · Published Jul 20, 2021

What this episode covers

Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization. In this episode you will learn: V-Squared [4:59] Vin’s online content [17:18] Low-code/no-code in data science [25:33] Top five gap skills [35:19] Data sets for insights on consumers and targeting [40:26] Are there socially beneficial data science and machine learning applications? [43:16] The most difficult data science problem Vin ever faced [50:39] Additional materials: www.superdatascience.com/489

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How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

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When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on July 20, 2021.

What is this episode about?

Vin Vashishta joins us to discuss his AI consulting work and his philosophy on AI strategy for monetization. In this episode you will learn: V-Squared [4:59] Vin’s online content [17:18] Low-code/no-code in data science [25:33] Top five gap...

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