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 statistical
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