Quantitude

S3E03: Principal Components Analysis is your PAL

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Sep 21, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
Can You Sing for Me, Baba Black Sheep, or You Tin Me?
02:09 • 1min
3
The Spider Man Movie
03:39 • 2min
4
Spider Man Movie Review - Spider Pig
05:16 • 2min
5
Pc a Is Not a Common Factor Analysis Model
06:56 • 2min
6
The Cornerstone of Principal Components Analysis
08:37 • 2min
7
The Difference Between Component Analysis and Factor Analysis
10:14 • 3min
8
The Indeterminacy of the Latent Factor Score
12:54 • 3min
9
Eh Component Analysis Is a Good Window Into a Dirty Window
15:54 • 2min
10
Anatomy of a Coissant
18:20 • 3min
11
Is There Any More Variability in This Coissant?
21:47 • 2min
12
Principal Component Analysis
24:03 • 2min
13
The Principal Component System Is a Data Reduction Tool
25:37 • 6min
14
Solonoid, Protever, Unquanted
31:29 • 2min
15
The Three Dimensions of a Principal Component Machine
33:09 • 2min
16
The Cost of a Principal Components Model
35:01 • 4min
17
Is the Common Factor Model a Good Choice?
39:00 • 3min
18
Principal Components Analysis
42:00 • 2min
19
What Are the Characteristics of a Writer?
43:51 • 3min
20
I Love Principal Components Analysis in Machine Learning
46:43 • 4min
21
Principal Component's Analysis Is Your Pal
50:19 • 2min
22
I Love Principal Components Analysis, and I Strongly Recommend It
51:49 • 3min
23
Quanitude Pod Podcast
54:58 • 3min