Standardize timestamps for PyData Global 2021 – Modeling Uncertainty (Fixes #136)

pydata-global-2021/introduction-to-quantum-computing-with-qiskit.md

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+## Introduction to Quantum Computing with Python and Qiskit
+
+YouTube URL: https://www.youtube.com/watch?v=ldX7ssvJx8M
+
+### Chapters
+
+00:06 – Begin of presentation  
+00:38 – Agenda  
+01:09 – Introduction  
+01:45 – What is Quantum Computing?  
+03:27 – Quantum Computing vs Classical Computing  
+06:49 – Real world applications  
+07:15 – Communications  
+08:02 – Cybersecurity  
+09:03 – IBM Quantum  
+10:00 – Composer (UI)  
+10:10 – OpenQASM vs Qiskit  
+11:50 – Start coding with Python in Quantum Lab  
+12:36 – Qiskit  
+13:00 – Quantum coding through Jupyter Notebooks  
+13:25 – First step  
+13:35 – Backend options  
+15:00 – Base circuit  
+15:55 – Visualization  
+16:52 – Results (State Vector vs QASM)  
+23:00 – Next steps  

pydata-global-2021/modeling-aleatoric-epistemic-uncertainty-aleksander-molak.md

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+# Modeling Aleatoric and Epistemic Uncertainty - Aleksander Molak | PyData Global 2021
+
+YouTube Link:
+https://youtu.be/KJxmC5GCWe4
+
+Code Link:
+https://github.com/AlxndrMlk/PyDataGlobal2021
+
+## Timestamps
+
+00:00:00 - Welcome!
+00:01:00 - Agenda
+00:02:55 - Why model Uncertainty?
+00:05:35 - Aleatoric vs epistemic uncertainty, including examples
+00:07:44 - TensorFlow Probability: An Introduction
+00:11:15 - Modeling aleatoric uncertainty with TensorFlow Probability
+00:15:12 - Modeling epistemic uncertainty with TensorFlow Probability
+00:23:00 - A simple trick to model epistemic uncertainty using plain TensorFlow
+00:25:14 - Q&A