Machine Learning 101: How to optimise hyperparameters
What are parameters in machine learning models? The regular (non-hyper) parameters of an ML model are the numbers that it…
Summary
This article explores the psychological barriers and risks of cognitive biases to R&D decision-making. It contrasts current practice with the use of evidence-based medicine by healthcare practitioners. It touches on how computational tools, such as StarDrop‘s integrated suite of discovery software, can help support good decision making in drug discovery.
Citation details
A. T. Chadwick and M. D. Segall, Drug Discovery Today, 2010, 15 (13/14), pp. 561-569.
DOI: 10.1016/j.drudis.2010.05.007
Find out more
For more information on how to use computational tools to support good discovery decisions, explore our StarDrop webpage.
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