The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck. (arXiv:2211.07959v1 [cs.LG])

Machine learning (ML) is revolutionizing the world, affecting almost every
field of science and industry. Recent algorithms (in particular, deep networks)
are increasingly data-hungry, requiring large datasets for training. Thus, the
dominant paradigm in ML today involves constructing large, task-specific
datasets.

However, obtaining quality datasets of such magnitude proves to be a
difficult challenge. A variety of methods have been proposed to address this
data bottleneck problem, but they are scattered across different areas, and it
is hard for a …

arxiv data data scientist lean