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Transformative Machine Learning: Explicit is Better than Implicit
Published on Jun 28, 2019144 Views
The key to success in machine learning (ML) is the use of effective data representations. Formerly, ML was only applied to isolated problems. Now, with the ever-increasing availability of data, ML is
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Chapter list
Transformative Machine Learning00:00
Representation in Machine Learning for Drug Design01:03
Data Representation01:07
Effective Data Representations01:08
Notes 1 Deep Learning02:23
Notes 2 Relational Learning04:19
Talk Plan09:28
Multiple Related Problems are Typical in Science09:37
Multi task learning09:44
Transfer Learning10:29
Prediction Problems11:55
Transformative Learning14:08
The New Idea14:15
Standard Machine Learning - 114:54
Standard Machine Learning - 215:56
Standard Machine Learning - 317:29
Transformative Machine Learning18:13
Intuition 120:11
Intuition 220:35
The Standard Alternative21:20
Methods22:15
Experimental Setup Machine Learning Methods22:22
Experimental Setup Problems24:14
Results - 127:31
Results - 227:36
XAI Transformative Learning 129:23
XAI Transformative Learning 231:14
XAI Human DHFR32:01
XAI Drug Design Example 134:59
XAI Drug Design Example 235:31
Large scale Modelling36:07
Gene/Protein Clustering36:22
Clustering - 137:14
Compound Clustering38:00
Clustering - 238:43
Large scale Predictions - 139:11
Large scale Predictions - 239:41
FAIR Data39:54
Discussion40:29
Extensions 140:31
Extensions 241:12
2nd Order Transformative Learning41:52
Conclusions43:20
Acknowledgments43:52