Machine Learning legend Vin Vashishta swings by office hour to chat! Tonnes of awesome insight into what the future of data science is going to look like, why feature engineering can be dangerous, why a model is a hypothesis, and more!
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[00:03:54] What I do as a mentor at DSDJ
[00:10:56] Vin’s perspective on the data science job market due to COVID
[00:14:09] Is data science going out of fashion?
[00:16:55] The two types of data scientists out there, one of them won’t survive
[00:21:50] You know, it's funny. It's got to be monitoring and production notes and stuff.
[00:23:25] Question on a project that an attendee was working on – clustering and topic modeling
[00:27:27] Saving models (to serve later)
[00:32:02] Is analytics data science?
[00:35:13] A philosophy less on feature engineering.
[00:40:45] Old school data mining and feature engineering
[00:46:02] You must validate your model
[00:55:15] Why is a model a hypothesis
[00:59:08] The importance of experimenting
[01:04:37] Is it ever OK to build a biased model?
[01:08:59] Preventing bad biases
[01:10:54] A philosophy of modeling
[01:15:24] Do we rule out deep learning?
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Special Guest: Vin Vashishta.