In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org
preprint server for compelling subjects relating to AI, machine
learning and deep learning – from disciplines including statistics,
mathematics and computer science – and provide you with a useful “best
of” list for the past month by Daniel Gutierrez, Author at insideBIGDATA.
Researchers from all over the world contribute to this repository as a
prelude to the peer review process for publication in traditional
journals. arXiv contains a veritable treasure trove of learning methods
you may use one day in the solution of data science problems. We hope
to save you some time by picking out articles that represent the most
promise for the typical data scientist. The articles listed below
represent a fraction of all articles appearing on the preprint server.
They are listed in no particular order with a link to each paper
along with a brief overview. Especially relevant articles are marked
with a “thumbs up” icon. Consider that these are academic research
papers, typically geared toward graduate students, post docs, and
seasoned professionals. They generally contain a high degree of
mathematics so be prepared.
Read more...
Enjoy your reading and have a cup of ☕️coffee!
Source: insideBIGDATA