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Listen "571: Collaborative, No-Code Machine Learning"
Episode Synopsis
Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform.
In this episode you will learn:
The inspiration behind Einblick [2:45]
Einblick's progressive approximation engine [6:43]
How no-code tools impact productivity [17:18]
The critical steps to become more data-driven as an organization [24:30]
How research universities like MIT support high-risk, long-term research [38:37]
How ML applied to databases enables them to be faster and more efficient [42:03]
How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]
Additional materials: www.superdatascience.com/571
In this episode you will learn:
The inspiration behind Einblick [2:45]
Einblick's progressive approximation engine [6:43]
How no-code tools impact productivity [17:18]
The critical steps to become more data-driven as an organization [24:30]
How research universities like MIT support high-risk, long-term research [38:37]
How ML applied to databases enables them to be faster and more efficient [42:03]
How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24]
Additional materials: www.superdatascience.com/571
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