Data Scientist
So You Think You Can ANALYZE? (Data Content Creator Hackathon)
Watch your favorite data science content creators compete for a piece of history. They will either prove their skills in front of the world or fail in the pursuit of eternal glory. This is so you think you can analyze.
Special thanks to Posit for sponsoring this competition and make this all possible!
Competitors: Team Jack @averysmith Jack Blandin @KeithGalli
Team MMA @AlexTheAnalyst @nerdnourishment @Miki_ML
Team Null Nick Singh Mark Freeman @SeattleDataGuy
Team Shashank @ShashankData
Team Posit-ively Skewed Greg Coquillo @datascienceharp Richad Nieves-Becker Ian Greengross
Interviewer: Elijah Butler - https://www.tiktok.com/@imelijahbutler
Posit Team
- Michael Chow
- Joe Cheng
- Carolos Scheidegger
- Julia Silge Sponsors, Affiliates, and Partners:
- Pathrise - http://pathrise.com/KenJee | Career mentorship for job applicants (Free till you land a job)
- Taro - http://jointaro.com/r/kenj308 (20% discount) | Career mentorship if you already have a job
- 365 Data Science (57% discount) - https://365datascience.pxf.io/P0jbBY | Learn data science today
- Interview Query (10% discount) - https://www.interviewquery.com/?ref=kenjee | Interview prep questions
MORE DATA SCIENCE CONTENT HERE: My Twitter - https://twitter.com/KenJee_DS LinkedIn - https://www.linkedin.com/in/kenjee/ Kaggle - https://www.kaggle.com/kenjee Medium Articles - https://medium.com/@kenneth.b.jee Github - https://github.com/PlayingNumbers My Sports Blog -https://www.playingnumbers.com
Check These Videos Out Next! My Leaderboard Project: https://www.youtube.com/watch?v=myhoWUrSP7o&ab_channel=KenJee 66 Days of Data: https://www.youtube.com/watch?v=qV_AlRwhI3I&ab_channel=KenJee How I Would Learn Data Science in 2021: https://www.youtube.com/watch?v=41Clrh6nv1s&ab_channel=KenJee
My Playlists Data Science Beginners: https://www.youtube.com/playlist?list=PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs Project From Scratch: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&ab_channel=KenJee Kaggle Projects: https://www.youtube.com/playlist?list=PL2zq7klxX5AQXzNSLtc_LEKFPh2mAvHIO
Positron: An IDE Specialized For Data Science
Dr. Julia Silge, Engineering Manager at Posit, joins @JonKrohnLearns to introduce Positron, a fresh open-source IDE that’s perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.
Watch the full interview “817: The Positron IDE, Tidy NLP and MLOps — with Dr. Julia Silge” here: https://www.superdatascience.com/817
817: The Positron IDE, Tidy NLP and MLOps — with Dr. @JuliaSilge
#PositronIDE #Tidyverse #MLOps
Dr. Julia Silge, Engineering Manager at Posit, joins @JonKrohnLearns to introduce the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.
This episode is brought to you by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists/) , the Decision Intelligence Leader, and by ODSC (https://odsc.com/california) , the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn: • [00:00:00] Introduction • [00:03:23] Overview of Posit and Positron IDE • [00:08:33] How the needs of a data scientist differ from those of a software developer • [00:17:56] How to contribute to the open-source Positron • [00:34:52] MLOps and Vetiver: Tools for deploying and maintaining ML models • [00:48:34] Natural Language Processing (NLP) and the Tidyverse approach • [01:22:18] The role of AI and LLMs in data science education
Additional materials: https://www.superdatascience.com/817
