Learning Bayesian Statistics

#65 PyMC, Aeppl, & Aesara: the new cool kids on the block, with Ricardo Vieira

Aug 3, 2022
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1
Introduction
00:00 • 2min
2
How Good Is My Portuguese?
02:29 • 3min
3
The New Name of the Putcast. Welcome to Bokle Profunditis
05:50 • 2min
4
How Did You Get Your Ph.D. In Neuroscience?
07:37 • 2min
5
I've Been Working on a Huge Variety of Models for Labs.
10:00 • 3min
6
How Was Your pH D?
12:33 • 2min
7
How Did You Start Contributing to Pit?
14:08 • 2min
8
Pim C Onitid
15:43 • 2min
9
The Biggest Changes in Modeling
17:26 • 2min
10
Sobasenty, Random Generations
19:08 • 2min
11
The Symbolic Grass Model
21:02 • 2min
12
Is Rerites Related to Graphical Manipulation?
23:00 • 2min
13
Is It Possible to Use the Pinesy Library?
25:11 • 4min
14
Using Re Rights in the Basn Framework for a Generative Craft?
29:17 • 3min
15
Is Vysicaly Rereain, I Almost the Same, I Think.
31:59 • 2min
16
How to Write Different Models for Different Processes
34:18 • 3min
17
Is There an Open Issue?
37:07 • 2min
18
Pims Version 3 - The Shape Issues
38:42 • 3min
19
Sso Ser Is a Fork of the Famous Tiano Library
42:00 • 3min
20
Pimsi
45:00 • 2min
21
Keeping Your Metaphor in Your Renovating Project?
46:41 • 1min
22
The Three Little Pigs
48:03 • 2min
23
The Basin Works - What Are the Biggest Hadoles in the Basin Work?
50:29 • 2min
24
The Building Blocks of a PLM Model?
52:08 • 2min
25
Is It Possible to Write a Distribution in Pistol?
54:15 • 2min
26
How Long Will Pim C v Five Be Out?
56:19 • 3min
27
Is There a Scientific Mind?
58:58 • 2min
28
I Love Science Communicators
01:01:03 • 2min
29
Virsion, I'm Going There, Hell, Eat Like That.
01:03:14 • 2min