Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Introduction
00:00 • 3min
I'll Blase the Ice, I'm Going to Break the Ice.
02:54 • 4min
Is Your Container a Shipping Container?
06:58 • 3min
Do You Have a Data Science Background?
09:48 • 3min
How to Model a Process or a Product?
12:34 • 3min
Are You a Data Scientist?
15:05 • 2min
What Does a Data Scientist Roll Look Like to You?
17:34 • 2min
The Hard Part About Machine Learning
19:53 • 2min
Linktin Chat
22:22 • 2min
M L Engineering - Is That Your Ultimate Go?
24:25 • 3min
One Step at a Time
27:21 • 3min
What's Next in the Adventure?
30:05 • 3min
What's the Difference Between Data Engineer and Analytic Engineer?
33:33 • 2min
Analyse Engineer - I'm Good at This.
35:58 • 2min
Analytic Engineers - Data Engineering
37:44 • 4min
How to Write a Learning Plan for Your Business
41:18 • 2min
What Are Your Skills as a Data Engineer?
43:35 • 2min
Do You Think We'll Start Separating the Rolls a LOT?
45:52 • 2min
Do You Think We're Going to Converge on a Specific Set of Specialist Titles?
47:38 • 4min
I Think It'll Go the Way of Web Development
51:13 • 4min
Machine Learning Is More Data Centric Than Softor Engineering
55:20 • 3min
Data Science and Philosophy
58:16 • 2min
Philosophy
01:00:23 • 2min
The Philosophy of Data Science
01:02:21 • 2min
Is There a Manifesto for Innovation?
01:04:45 • 3min
The Pionier of Data Science?
01:08:09 • 3min
How Much Does Working Well Mean to You?
01:11:02 • 2min
The Power of Philosophy and the World of Ther Science
01:13:05 • 3min
What Was Your First Roll in Data?
01:16:02 • 2min
What's Your Biggest Lesson From Computer Vision?
01:18:26 • 2min
Are You in a Great Roll? Don't Stop.
01:20:37 • 4min