Comet ML Office Hours 5 - 07MAR2021

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March 12th, 2021

1 hr 24 mins 34 secs

Season 10

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About this Episode

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

Register for future sessions here: http://bit.ly/comet-ml-oh

Checkout Comet ML by visiting: https://www.comet.ml/

Or on Twitter: https://twitter.com/CometML

On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw

Connect with Ayodele

LinkedIn: https://www.linkedin.com/in/ayodeleodubela/

Twitter: https://twitter.com/DataSciBae

Check out her course on LinkedIn Learning: https://www.linkedin.com/learning/supervised-learning-essential-training/supervised-machine-learning-and-the-technology-boom

HIGHLIGHTS FROM THE SESSION

[00:02:21] What does it mean to be an expert in Data science? What's that spectrum look like to go from novice beginner all the way up to expert?

[00:04:07] At what point in your career do you feel like you started to deviate from falling recipes?

[00:07:41] What does it really mean to be a mentor or a mentee and anybody can become a mentor?

[00:18:28] If you're going to approach somebody to be your mentor, then try to make it a positive sum game somehow.

[00:21:30] How are you supposed to work with a mentor?

[00:23:37] Tor has a dilemma related to cohort analysis and attribution modeling

[00:32:20] Helping each other build up confidence in this crazy job search environment

[00:36:06] What are some roles that that can help in getting your foot in the door before becoming a data scientist?

[00:38:26] What are some interesting job titles you've seen in your search?

[00:46:39] How do I ask the correct question?

[00:50:38] When you meet people that are very skilled, they go directly into the complexity of the problems and they basically create so many problems. Nobody wants to listen anymore.

[00:55:04] I'm consistently taking new classes and courses that I consistently keep meeting new things I don't know. How do you go about it? Is there no end there? We all go around sharing ideas for how to learn more efficiently.

[01:04:52] The quest for a golden resource

[01:11:24] Tips for coding round interviews

[01:16:54] Do we need OOP in data science?

[01:18:47] Should I go to grad school?

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