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.
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.
Enjoy the Reading!
Source: insideBIGDATA