Here I discuss ML, ML applications in Biotech, and the original alpha fold paper:
https://www.nature.com/articles/s41586-021-03819-2
Timestamps:
0:00 Introduction and Qualifications
1:50 Multi-Dimensional Space
3:30 Inputs to Machine Learning
3:40 Data Arrays
4:30 Classification Tasks Examples
5:00 No Free Lunch Theorem
5:40 Many Different Kinds of Machine Learning
6:00 Linear Algebra
7:45 Training Sets and Test Sets
10:45 Truth Table
14:25 Linear Regression
15:20 Logistic Regression
16:00 Decision Trees
17:00 Random Forrest
17:50 Support Vector Machines
18:30 Neural Networks
20:00 Limitations of ML
24:20 Alpha Fold
26:00 .PDB files
27:00 Figure 1.
28:00 Comparing Protein Resolutions
30:15 Software Model of Alpha Fold
32:00 Multi Sequence Alignment
33:00 Pairing Matrix
36:00 Evoformer
40:00 Laymen Terms
41:00 Criticisms
44:20 Theme Song
