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An introduction to statistical learning with applications in R: by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, New York, Springer Science and Business Media, 2013, $41.98, eISBN: 978-1-4614-7137-7
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In the twenty-first century, Machine learning is a hot trend procedure for handling the real-life problem. Several books and research articles are now available in literature on this topic. An intr...
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Citations
Cited by
Applications of digital technology in COVID-19 pandemic planning and response
Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. C. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30142-4 · Cited by 992
Machine Learning Approaches for Clinical Psychology and Psychiatry
Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045037 · Cited by 966
LASSO: A feature selection technique in predictive modeling for machine learning
Muthukrishnan, R., & Rohini, R. (2016) · 2016 IEEE International Conference on Advances in Computer Applications (ICACA) · doi:10.1109/icaca.2016.7887916 · Cited by 586
Downscaling land surface temperatures at regional scales with random forest regression
Hutengs, C., & Vohland, M. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.03.006 · Cited by 562
A practical guide to selecting models for exploration, inference, and prediction in ecology
Tredennick, A. T., Hooker, G., Ellner, S. P., & Adler, P. B. (2021) · Ecology · doi:10.1002/ecy.3336 · Cited by 474
Metadata
- Authors
- Sohil, F., Sohali, M. U., & Shabbir, J.
- Venue
- Statistical Theory and Related Fields
- Publisher
- Informa UK Limited
- Published
- 2021-09-26
- Volume
- 6
- Issue
- 1
- Pages
- 87-87
- ISSN
- 2475-4269 (ISSN-L)
- 2475-4277
- OpenAlex
- W3204438512
- Cited by
- 1,624
- References
- 0
- Type
- book review
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: An introduction to statistical learning with applications in R: by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, New York, Springer Science and Business Media, 2013, $41.98, eISBN: 978-1-4614-7137-7. https://app.cochat.ai/papers/10.1080/24754269.2021.1980261
- The paper
- Sohil, F., Sohali, M. U., & Shabbir, J. (2022). An introduction to statistical learning with applications in R: by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, New York, Springer Science and Business Media, 2013, $41.98, eISBN: 978-1-4614-7137-7. Statistical Theory and Related Fields. https://doi.org/10.1080/24754269.2021.1980261
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
