Comet ML Office Hours 12 - 02MAY2021
May 6th, 2021
1 hr 12 mins 57 secs
About this Episode
The best Comet Office Hour Session to date! Wow - we're picking up steam on Sundays. Be sure to tune into this one, some great conversation and discussions.
Register for future sessions here: http://bit.ly/comet-ml-oh
Checkout Comet ML by visiting: https://www.comet.ml/
Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O
Or on Twitter: https://twitter.com/CometML
On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw
Vote in the data community content creators awards! http://bit.ly/data-creators-awards
Check it out and don't forget to register for future office hours: http://bit.ly/adsoh
Register for Sunday Sessions here: http://bit.ly/comet-ml-oh
Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm
Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job
[00:01:40] How to gain skill in data science
[00:07:39] Where can we find data for a project?
[00:09:44] Data science project ideas using open data
[00:12:59] Sharing code with potential hiring managers and using good frameworks for projects
[00:17:01] Do tiny projects to gain skill
[00:19:16] A community member shares her experience learning data science while coming from a non-technical background
[00:26:11] How do I do “research and stuff”?
[00:31:43] Why you need to ask questions and not just go off and do things
[00:35:27] Docker, Kubernetes, and Clouds…oh my! What does this have to do with data science? (I provide several non-satisfactory explanations)
[00:45:06] What do I need to study?!
[00:53:52] Resume review
[01:05:50] What tools do I need to know for data science?