What is the importance of machine learning in physics?
Check this paper- https://arxiv.org/pdf/1803.08823
"A high-bias, low-variance introduction to Machine Learning for physicists"- Mehta et al. (2019)
ML can be applied in several áreas of physics, such cases of regresión, identification, etc
To me simply finding unexpected dependencies (correlations)
There are specific cell lines that can be used for studying the response of certain types of cancers to drugs.
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Any complications? What is the acceptable range?
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