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
Introduction
00:00 • 2min
Learning to Read
01:44 • 4min
How Do You Prepare for a Data Campaign Analyst Certification?
06:04 • 2min
I Love That Color Technique
08:03 • 4min
What Are Some Unexpected Winds That Happened?
11:36 • 2min
The Big Wind This Year Was Getting Pat Gellsinger Back at the Helm
13:12 • 2min
A Rashad, a Suknans Question There.
14:42 • 3min
The Artisto Dao Scince Haty Oursso
17:25 • 2min
Deliberate Practice in Data Science
19:27 • 3min
How to Learn Quickly in a Problem Specific Context
22:51 • 2min
Linkton Scales Assessment for Machine Learning
25:11 • 2min
Machine Learning
26:44 • 2min
What's Underneath That Assessment?
28:25 • 3min
Are You Putting Your Money Where Your Mouth Is?
30:58 • 3min
Interview Testing in Data Science?
33:41 • 4min
Is There Track Record Enough to Hire Someone With 20 Years Experience?
37:30 • 2min
Data Science - Are Assessments Just for the Person?
39:05 • 4min
Unorthodoxy Is a Big Wild Cut
42:54 • 2min
How to Achieve a Fast Career With Creativity
45:04 • 2min
What Makes a Start Up Fail?
46:53 • 2min
Angel Investing - Is There a Process?
48:44 • 4min
The Artist of Data Science Angel Fund
52:35 • 2min
What Are Your Thoughts About Day of Science?
54:08 • 2min
Is Feature Engineering Dead?
55:58 • 2min
Big Deep Learning
58:07 • 2min
The Interesting Thing About GPT T Three
01:00:31 • 3min
I Think We're on the Same Way Length in Terms of Machine Learning
01:03:59 • 3min
The Time of Remembrance Is Almost Here
01:07:23 • 3min
Deafly Thake That Out.
01:10:23 • 3min


