Analytics vs. Data Science vs. ML Research: Economist Sonali Syngal Shares Her View
The world of data has a lot of hazy definitions. This leads to
confusion as people use the same terms in a conversation but mean
very different things. Three such terms that are often conflated
are "analytics," "data science," and "machine learning resear
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vor 4 Jahren
Formulatedby's Senior Content Advisor, Q McCallum, met up with
Sonali Syngal to explore these questions. Sonali is
currently a data scientist at MasterCard and is about to join the
team at Expedia. She came to data science from the rather
uncommon entry point of economics. In this episode we see that
her career path has given her key insights on how to join this
field and what are the differences between the various roles
therein.(Some listeners may recognize Sonali's voice from a
previous episode: she spoke at Data Science Salon in December
2020, where she also joined us for our Coffee Chat. You can
check out that episode to learn more about Sonali's take on ML/AI
in the world of fintech.)
Sonali mentioned Christopher Olah's blog, which lives at:
https://colah.github.io (Christopher was working at Google
when Sonali found his blog, though he has since moved to OpenAI.)
Sonali and Q are both fans of the 3Blue1Brown YouTube
channel. It offers clear, relatable explanations of linear
algebra and neural networks: https://youtu.be/aircAruvnKk
This is DeepLizard’s deep learning playlist that Sonali
mentioned:
https://youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU
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