An Introduction to Statistical Learning with Applications in Python /
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. Thi...
Saved in:
| Main Authors: | James, Gareth (Author), Witten, Daniela (Author), Hastie, Trevor (Author), Tibshirani, Robert (Author), Taylor, Jonathan (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Edition: | 1st ed. 2023. |
| Series: | Springer Texts in Statistics,
|
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-38747-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Asymptotic Expansion and Weak Approximation Applications of Malliavin Calculus and Deep Learning /
by: Takahashi, Akihiko, et al.
Published: (2025)
by: Takahashi, Akihiko, et al.
Published: (2025)
The Elements of Statistical Learning : Data Mining, Inference, and Prediction /
by: Trevor, Hastie
Published: (2008)
by: Trevor, Hastie
Published: (2008)
The Elements of Statistical Learning Data Mining, Inference, and Prediction
by: Trevor, Hastie
Published: (2008)
by: Trevor, Hastie
Published: (2008)
A Guide to Robust Statistical Methods
by: Wilcox, Rand R.
Published: (2023)
by: Wilcox, Rand R.
Published: (2023)
An Introduction to Statistical Learning : with Applications in R /
by: James, Gareth
Published: (2013)
by: James, Gareth
Published: (2013)
An Introduction to Statistical Learning : With Applications in R /
by: James, Gareth
Published: (2013)
by: James, Gareth
Published: (2013)
An Introduction to Statistical Learning : with Applications in R /
by: Gareth, James
Published: (2021)
by: Gareth, James
Published: (2021)
An Introduction to Statistical Learning with Applications in R
by: James, Gareth
Published: (2013)
by: James, Gareth
Published: (2013)
An Introduction to Statistical Learning with Applications in R
by: Gareth, James
Published: (2021)
by: Gareth, James
Published: (2021)
Measurement, Mathematics and New Quantification Theory
by: Nishisato, Shizuhiko
Published: (2023)
by: Nishisato, Shizuhiko
Published: (2023)
Weak Convergence and Empirical Processes With Applications to Statistics /
by: van der Vaart, A. W., et al.
Published: (2023)
by: van der Vaart, A. W., et al.
Published: (2023)
Statistical Inference Under Mixture Models
by: Chen, Jiahua
Published: (2023)
by: Chen, Jiahua
Published: (2023)
Selected Topics in Statistical Inference Theory and Applications /
by: Pal, Manisha, et al.
Published: (2024)
by: Pal, Manisha, et al.
Published: (2024)
Statistical Modeling and Applications Multivariate, Heavy-Tailed, Skewed Distributions and Mixture Modeling, Volume 2 /
Published: (2024)
Published: (2024)
Models for Data Analysis SIS 2018, Palermo, Italy, June 20–22 /
Published: (2023)
Published: (2023)
Introduction to the Statistics of Poisson Processes and Applications
by: Kutoyants, Yury A.
Published: (2023)
by: Kutoyants, Yury A.
Published: (2023)
Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Selected Contributions from SimStat 2019 and Invited Papers /
Published: (2023)
Published: (2023)
Statistical Inference Based on Kernel Distribution Function Estimators
by: Fauzi, Rizky Reza, et al.
Published: (2023)
by: Fauzi, Rizky Reza, et al.
Published: (2023)
Statistical Methods: Connections, Equivalencies, and Relationships
by: Berry, Kenneth J., et al.
Published: (2023)
by: Berry, Kenneth J., et al.
Published: (2023)
Statistical Learning in Genetics An Introduction Using R /
by: Sorensen, Daniel
Published: (2023)
by: Sorensen, Daniel
Published: (2023)
Statistical Learning in Genetics An Introduction Using R /
by: Sorensen, Daniel
Published: (2025)
by: Sorensen, Daniel
Published: (2025)
Methodological and Applied Statistics and Demography II SIS 2024, Short Papers, Solicited Sessions /
Published: (2025)
Published: (2025)
Methodological and Applied Statistics and Demography IV SIS 2024, Short Papers, Contributed Sessions 2 /
Published: (2025)
Published: (2025)
Methodological and Applied Statistics and Demography III SIS 2024, Short Papers, Contributed Sessions 1 /
Published: (2025)
Published: (2025)
Methodological and Applied Statistics and Demography I SIS 2024, Short Papers, Plenary and Specialized Sessions /
Published: (2025)
Published: (2025)
Foundations of Modern Statistics Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6–8, 2019, Moscow, Russia, November 30, 2019 /
Published: (2023)
Published: (2023)
Mixed-Effects Models and Small Area Estimation
by: Sugasawa, Shonosuke, et al.
Published: (2023)
by: Sugasawa, Shonosuke, et al.
Published: (2023)
Stein Estimation
by: Maruyama, Yuzo, et al.
Published: (2023)
by: Maruyama, Yuzo, et al.
Published: (2023)
Matrix Algebra Theory, Computations and Applications in Statistics /
by: Gentle, James E.
Published: (2024)
by: Gentle, James E.
Published: (2024)
Conditional Order Statistics and Conditional Spacings
by: Zhang, Zhengcheng
Published: (2025)
by: Zhang, Zhengcheng
Published: (2025)
Time Series Analysis and Its Applications With R Examples /
by: Shumway, Robert H., et al.
Published: (2025)
by: Shumway, Robert H., et al.
Published: (2025)
Facets of Behaviormetrics The 50th Anniversary of the Behaviormetric Society /
Published: (2023)
Published: (2023)
Machine Learning Perspectives of Agent-Based Models Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia /
Published: (2025)
Published: (2025)
Likelihood Ratio Tests and Related Topics in Multivariate Analysis Selected Contributions of Carlos A. Coelho /
Published: (2025)
Published: (2025)
Exercise Book of Statistical Inference
by: Gasperoni, Francesca, et al.
Published: (2025)
by: Gasperoni, Francesca, et al.
Published: (2025)
Statistical Methods and Analyses for Medical Devices
by: Pardo, Scott A.
Published: (2023)
by: Pardo, Scott A.
Published: (2023)
A First Course in Statistical Learning With Data Examples and Python Code /
by: Lederer, Johannes
Published: (2025)
by: Lederer, Johannes
Published: (2025)
Introduction to Mathematical Statistics
by: Hogg, Robert V
Published: (1978)
by: Hogg, Robert V
Published: (1978)
Introduction to Probability, Statistics & R Foundations for Data-Based Sciences /
by: Sahu, Sujit K.
Published: (2024)
by: Sahu, Sujit K.
Published: (2024)
Statistical Machine Learning for Engineering with Applications
Published: (2024)
Published: (2024)
Similar Items
-
Asymptotic Expansion and Weak Approximation Applications of Malliavin Calculus and Deep Learning /
by: Takahashi, Akihiko, et al.
Published: (2025) -
The Elements of Statistical Learning : Data Mining, Inference, and Prediction /
by: Trevor, Hastie
Published: (2008) -
The Elements of Statistical Learning Data Mining, Inference, and Prediction
by: Trevor, Hastie
Published: (2008) -
A Guide to Robust Statistical Methods
by: Wilcox, Rand R.
Published: (2023) -
An Introduction to Statistical Learning : with Applications in R /
by: James, Gareth
Published: (2013)