În afara temei aiqbench
Această știre a fost preluată de la o sursă pe care o urmărim, dar nu ține de domeniul AI sau cuantic, așa că nu există o perspectivă aiqbench pentru ea.
Deep R Programming
arXiv:2301.01188v5 Announce Type: replace-cross Abstract: Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning. This textbook is a non-profit project. Its online and PDF versions are freely available at .
Abstract:Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning. This textbook is a non-profit project. Its online and PDF versions are freely available at <this https URL.
v1.0.2 (2026-07-30)
Programming Languages (cs.PL); Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO)
arXiv:2301.01188 [cs.PL]
(or arXiv:2301.01188v5 [cs.PL] for this version)
https://doi.org/10.48550/arXiv.2301.01188 Focus to learn more arXiv-issued DOI via DataCite
Zenodo, Melbourne, ISBN: 978-0-6455719-2-9 (2026) https://deepr.gagolewski.com/
https://doi.org/10.5281/zenodo.7490464 Focus to learn more DOI(s) linking to related resources
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