The DOI matches its Crossref record.
An Introduction to Statistical Learning: with Applications in Python
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Citations
Cited by
Artificial intelligence: Implications for the future of work
Howard, J. (2019) · American Journal of Industrial Medicine · doi:10.1002/ajim.23037 · Cited by 522
Chakraborty, T., & Ghosh, I. (2020) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.109850 · Cited by 417
Optimization problems for machine learning: A survey
Gambella, C., Ghaddar, B., & Naoum-Sawaya, J. (2021) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.08.045 · Cited by 365
Machine learning in geo- and environmental sciences: From small to large scale
Tahmasebi, P., Kamrava, S., Bai, T., & Sahimi, M. (2020) · Advances in Water Resources · doi:10.1016/j.advwatres.2020.103619 · Cited by 293
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining
Triguero, I., González, S., Moyano, J. M., García, S., Alcalá-Fdez, J., Luengo, J., Fernández, A., del Jesús, M. J., Sánchez, L., & Herrera, F. (2017) · International Journal of Computational Intelligence Systems · doi:10.2991/ijcis.10.1.82 · Cited by 286
Metadata
- Authors
- James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J.
- Venue
- Springer Texts in Statistics
- Publisher
- Springer International Publishing
- Published
- 2023
- ISSN
- 1431-875X (ISSN-L)
- 2197-4136
- OpenAlex
- W4382677476
- Cited by
- 1,749
- References
- 0
- FWCI
- 172.30
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- This page
- CoChat. (2026). Citation check: An Introduction to Statistical Learning: with Applications in Python. https://app.cochat.ai/papers/10.1007/978-3-031-38747-0
- The paper
- James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). An Introduction to Statistical Learning: with Applications in Python. Springer Texts in Statistics. https://doi.org/10.1007/978-3-031-38747-0
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.