Not So Standard Deviations

176 - Is R the Worst?

4 snips
May 3, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
The AI Apocalypse: How to Prepare for It
01:38 • 3min
3
Language Models and Cognitive Automation for Economic Research
04:18 • 3min
4
The Importance of Chat GPT in LLMs
06:49 • 2min
5
The Limits on GPT Four
09:14 • 3min
6
How to Deal With Hallucination
12:12 • 3min
7
The Future of AI
14:58 • 2min
8
The Limits of AI for Your Closet
16:51 • 2min
9
The Risks of Prompt Injection
18:22 • 4min
10
The Future of Deep Learning
21:56 • 4min
11
The End of the Hype Cycles
25:26 • 5min
12
The Importance of Proof by Example
30:21 • 3min
13
The Worst Star Trek
33:04 • 2min
14
The Pros and Cons of Open AI
34:37 • 2min
15
Google's Open AI Arms Race
36:09 • 2min
16
The French Revolution
37:49 • 2min
17
The Dilemma of Data Science and Pete's Gomorok
39:29 • 2min
18
R Is the Worst Language Ever
41:18 • 2min
19
The Problem With Tidy Verse
42:51 • 2min
20
The Future of Modeling
44:56 • 2min
21
The Differences Between Tidy Verse and Tidy Models
46:50 • 1min
22
The Importance of Objects
48:20 • 2min
23
The Importance of Pipe Functions in Startups
49:59 • 2min
24
The Phase Change of Python
51:40 • 2min
25
The Importance of Teaching Python
53:27 • 2min
26
The Importance of Explicit Arguments in Data Science Classes
55:04 • 2min
27
How to Write a Course From Scratch
56:41 • 1min
28
The Importance of Starting With Nothing
58:08 • 2min
29
The Importance of Being Senior in Teaching Statistics
59:56 • 3min