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25 changes: 19 additions & 6 deletions videos-list/26-ali.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,19 +13,32 @@ Discourse Discussion
https://discourse.pymc.io/t/my-journey-in-learning-and-relearning-bayesian-statistics-by-ali-akbar-septiandri/5984

## Timestamps
- 0:00 Start of event
- x:xx
- x:xx

## Note: help us add timestamps here
https://github.com/pymc-devs/video-timestamps
00:00 Introduction by Ali and outline of the talk
00:44 First exposure at the University of Edinburgh
01:57 The Machine Learning and Pattern Recognition (MLPR) course
03:55 Bayesian statistics can be hard to swallow
05:53 Linear regression: posterior
06:27 Monte Carlo methods
07:10 Laplace approximation
07:31 Introduction to Gaussian processes
08:34 Countless hours of studying, passing the exam, graduation
09:28 Becoming an adjunct lecturer at the University Al Azhar in Indonesia
11:26 Something is missing - relearning Bayesian statistics
12:27 Frequentist vs Bayesian analyses
13:06 The book Bayesian Methods for Hackers
15:13 PyMC3
15:39 Finding motivation
18:17 Two sources of learning: MLPR course vs Bayesian Methods for Hackers book
19:54 Ongoing learning - more resources
23:06 Key takeaways

Speaker bio:
Ali is a data scientist and a lecturer. He is learning/teaching data science, machine learning, and artificial intelligence.

Speaker info:
-Twitter: https://twitter.com/aliakbars
-LinkedIn: https://uk.linkedin.com/in/aaseptiandri
-Website: https://aliakbars.id

Part of PyMCon2020.
More details at http://www.pymcon.com
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