Programming Throwdown

Bayesian Thinking

Jun 22, 2020
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Episode notes
1
Introduction
00:00 • 2min
2
Y Had Sow Throught
01:46 • 3min
3
The Multi Arm Bandit
04:59 • 2min
4
Machine Learning
07:13 • 5min
5
How to Unpack a Probability Density Function
12:02 • 3min
6
Graphin Calculus
15:23 • 3min
7
The Infinite Precision Number Really Has No Meaning
18:22 • 5min
8
Is There One in a Million Chances That You Could Generate Data?
23:25 • 3min
9
How to Build a Generative System on Top of Random S
26:03 • 3min
10
How to Recapture the Distribution From Random Numbers?
28:59 • 3min
11
Is There a Probability Density Distribution?
32:08 • 3min
12
The Bata Distribution and the Updated Distribution
34:52 • 3min
13
The Chain of Distributions, or Hyper Parameters
37:30 • 4min
14
The Machine Learning Curse of Dimensionality
41:57 • 2min
15
Acquisition Functions Are Important
43:35 • 4min
16
Is No One Ever Going to Starbucks?
47:46 • 2min
17
Data Scientists - How Do You Get the Uplift?
49:17 • 2min
18
How Do You Deploy a Bad Apple?
50:50 • 4min
19
Is There Ground Truth in Machine Learning?
54:23 • 2min
20
Deep Learning Is Going to Eat a Lot of Basian Math
56:45 • 2min
21
Then, You Know, It's a Logical Regression, Right?
59:14 • 3min
22
The Re Pramatrization Trick Is a Nice Little Trick
01:02:30 • 2min
23
The Upper Confidence Bound of Something Kan Can Give You This Nice of Learning
01:04:16 • 2min
24
Do You Have a Consumer Product or Attribution?
01:05:50 • 4min
25
Is There a Gender Prediction?
01:10:20 • 2min
26
Foursquare M Innovation Lab
01:12:05 • 2min
27
Rebooting People's Habits, Right?
01:13:37 • 2min
28
Four Square, Is It the Next Frontier?
01:15:14 • 3min
29
Is Four Square Hiring Full Time?
01:18:15 • 2min
30
Are We Going to Get Back to the Office?
01:20:19 • 2min
31
The Local Maximum Every Week
01:22:36 • 4min
32
What Inspired You to Start a Podcast?
01:26:14 • 2min
33
YO, I'm Almost Going Back to Some of These Episodes and Relive It
01:28:02 • 3min
34
Is the Local Maximum the Local Maximum?
01:30:34 • 3min