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
Twitter - The Worst Coffee in America
01:51 • 3min
Should We Change the Topic or Just Keep Going?
04:40 • 2min
COVID Depression
06:27 • 2min
Data Engineering - Is DBT Really Data Engineering?
08:35 • 2min
DBT Is a Way to Do That Feature Engineering in a Way That Is Like Reproducible and Temporized
10:51 • 5min
What's the Monetization?
15:31 • 2min
Is Open Source a Better Model Than Open Source?
17:31 • 2min
Is This a Claims Database?
19:50 • 2min
Is It Dishonest to Say It That Way?
21:25 • 2min
You Will Never Use the Stool Is What Is Coming Down
23:28 • 2min
Is It Easier to Do a Research Career?
25:12 • 2min
Chat GPT
27:09 • 2min
How Much Like Pedantic Academic Writing Could You Generate With Chat DPT?
29:10 • 2min
Chat Chat GBT - It's Like a Game.
30:44 • 2min
Is There a Deep Learning Methodology?
32:35 • 3min
Normal Accidents Living With High Risk Technologies
35:37 • 2min
What Does It Mean to Fail?
37:23 • 2min
Self Driving Systems
39:20 • 2min
He Might Not Have Seen the Super Bowl Commercial
41:13 • 2min
Would You Own a Tesla?
43:03 • 2min
Do You Think Analysts Can Be Misled by Past Experience?
44:47 • 2min
Are You Always Wrong When You Analyze Data?
46:25 • 5min
Are There Analysts That Are Just Like Always Wrong?
50:56 • 2min
Are Analysts Always Wrong?
52:36 • 2min
Is There a Counterfactual?
54:13 • 2min
You Don't Deliver on Time Right?
55:50 • 2min
Is There a Counterfactual?
57:44 • 2min
Is There a Failure Mode Within a Company?
59:26 • 5min