Adventures in Machine Learning Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083
Aug 4, 2022
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 3min
Transitioning Into Data Science
03:17 • 3min
The Power of the Internet
06:05 • 3min
Do You Have a Diverse Portfolio Approach?
09:02 • 3min
How Do You Develop a Personal Brand?
12:32 • 3min
Four Pieces of Advice for Data Scientists
15:37 • 4min
Four Ways to Contribute to an Open Source Project
19:34 • 3min
Do You Have Street Cred or Technical Load?
22:41 • 2min
Contributing to Scikit-Learn as a Data Scientist?
24:33 • 4min
What's the Minimum Job Requirements List?
28:54 • 5min
Is Subject Matter Knowledge Super Important?
34:13 • 2min
How Do I Look Like I Know What I'm Doing in an Interview?
36:13 • 3min
Machine Learning Interview Process - Playing to Your Strengths
39:05 • 5min
How to Reach the Limits of Your Technical Skills
43:35 • 2min
Don't Call Yourself a Data Scientist
45:14 • 2min
Using the Distributed Professional Portfolio as a Job Search Strategy
47:02 • 4min
Distributed Portfolios
50:41 • 2min