Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Introduction
00:00 • 3min
The Super Data Science Podcast - Charlotte Dean
02:31 • 3min
Using Genetic Information to Find Drug Candidates
05:12 • 5min
Is There an Easy Way to Explain a Loss Function?
09:48 • 3min
Do Antibiotics Form by a Single Strand of Amino Acids?
13:12 • 2min
Antibodies and Antigens in the Human Body
15:14 • 4min
How Do Antibodies Work?
18:52 • 2min
Is Your Immune System Really Complicated?
20:49 • 2min
How Long Does Your Immune System Last?
22:25 • 2min
Antibodies
24:16 • 2min
Is There a Future for Biomarkers?
26:34 • 2min
Is It Possible to Make Small Molecules via IV?
28:27 • 2min
The Best Machine Learning Course - Machine Learning in Python Level One
30:34 • 3min
Identifying Biologic Drug Candidate Using Machine Learning and AI
33:48 • 3min
I Don't Like the Phrase of Solving the Protein Folding Problem
36:47 • 5min
Antibodies
41:40 • 2min
Predicting 3D Protein Structure
43:17 • 3min
DeepMind - The Biggest Problem in Machine Learning
46:28 • 2min
Are You Using a Hammer Right Now?
48:33 • 2min
Is There a Future for Computational Algorithms?
50:23 • 3min
COVID-19 - What's Your Story?
53:04 • 3min
The UKRI Response to the COVID Pandemic
56:28 • 3min
The Computer Says No, That's a Comedy Show
59:28 • 2min
Epidemiological Modeling of Cholera
01:01:03 • 2min
What Are Some of the Biggest Trends in Deep Learning Methods?
01:02:36 • 2min
Is There a Boring Baseline in Machine Learning?
01:04:40 • 3min
Can AI in Structural Bioinformatics Help Predict Aliens?
01:08:00 • 3min
Do Social Activities Help With Scientific Findings?
01:11:18 • 2min
Book Review - Lessons in Chemistry by Jonathan Flint
01:13:30 • 3min
Follow the Opiglets on Twitter and LinkedIn
01:16:14 • 2min
Super Data Science Podcast
01:17:50 • 3min