Gerald Leppert, PhD Apr 10, 2020

@rstats In case you haven't seen it yet: Due to the Corona crisis #Springer publishers provide several #rstats books for free:

https://link.springer.com/book/10.1007/978-3-319-72347-1
https://link.springer.com/book/10.1007/978-1-4614-8687-9
https://link.springer.com/book/10.1007/978-1-4939-2122-5
https://link.springer.com/book/10.1007/978-3-319-46162-5
etc.

#SpringerLink #R

Data Science and Predictive Analytics | SpringerLink

Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human exper

Show threadGerald Leppert, PhD Apr 18, 2020

@rstats Maybe you know this list of free #rstats #books already, but it is still a great collection:

"29 Excellent Free Books to Learn all about R", April 24, 2019, Erik Karlsson

https://www.linuxlinks.com/excellent-free-books-learn-r/

#R

33 Excellent Free Books to Learn all about R - LinuxLinks

This article recommends 33 free books which will teach you the basics of R, how to produce amazing plots, how to apply R to lots of disciplines, and how to efficiently program in R.

LinuxLinks
Show threadAskan 🇪🇺Apr 19, 2020
@gerald_leppert @rstats is R a good tool for machine learning?
Show threadEdenApr 20, 2020

@askans @gerald_leppert @rstats Tabular ML, absolutely.

LightGBM is simpler in R than it is in Python, and it works pretty well. Caret is miles better than other options in Python AFAICT.
BSTS _only_ exists in R & C++.

Working with anything that doesn't fit easily into data.frames/tables, it's just not well suited because of the issues with speed, and R is fastest with matrix & data.frame calculations.

NNs & Keras etc, it's better working in Python.

Show threadAskan 🇪🇺
@Eden @gerald_leppert @rstats Thanks for your post, I am getting smarter.
Apr 21, 2020 at 4:16amWeb