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7
An Introduction to Statistical Learning (with Applications in R or Python) (www.statlearning.com)
 
 

cross-posted from: https://programming.dev/post/6942085

Book (Free)

The resource on statistical methods recommended to me the most has been An Introduction to Statistical Learning (with Applications in R or Python) by Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, and Jonathan Taylor. Its free to download and has been kept up to date. (The latest edition is from 2022.)

Online Course (Free with optional payment for "Verified Track")

For those that prefer a structured online course StanfordOnline: Statistical Learning with R by Trevor Hastie and Robert Tibshirani uses An Introduction to Statistical Learning (with Applications in R) as the course textbook.

More In-Depth Book

Individuals with advanced training in the mathematical sciences may wish to use The Elements of Statistical Learning (Data Mining, Inference, and Prediction) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman which provides a more comprehensive and detailed treatment of a wider range topics in statistical learning.

2
16
An Introduction to Statistical Learning (with Applications in R or Python) (www.statlearning.com)
 
 

cross-posted from: https://programming.dev/post/6942085

Book (Free)

The resource on statistical methods recommended to me the most has been An Introduction to Statistical Learning (with Applications in R or Python) by Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, and Jonathan Taylor. Its free to download and has been kept up to date. (The latest edition is from 2022.)

Online Course (Free with optional payment for "Verified Track")

For those that prefer a structured online course StanfordOnline: Statistical Learning with R by Trevor Hastie and Robert Tibshirani uses An Introduction to Statistical Learning (with Applications in R) as the course textbook.

More In-Depth Book

Individuals with advanced training in the mathematical sciences may wish to use The Elements of Statistical Learning (Data Mining, Inference, and Prediction) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman which provides a more comprehensive and detailed treatment of a wider range topics in statistical learning.

3
5
An Introduction to Statistical Learning (with Applications in R or Python) (www.statlearning.com)
submitted 8 months ago* (last edited 8 months ago) by ericjmorey@programming.dev to c/machine_learning@programming.dev
1 comments fedilink
 
 

Book (Free)

The resource on statistical methods recommended to me the most has been An Introduction to Statistical Learning (with Applications in R or Python) by Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, and Jonathan Taylor. Its free to download and has been kept up to date. (The latest edition is from 2022.)

Online Course (Free with optional payment for "Verified Track")

For those that prefer a structured online course StanfordOnline: Statistical Learning with R by Trevor Hastie and Robert Tibshirani uses An Introduction to Statistical Learning (with Applications in R) as the course textbook.

More In-Depth Book

Individuals with advanced training in the mathematical sciences may wish to use The Elements of Statistical Learning (Data Mining, Inference, and Prediction) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman which provides a more comprehensive and detailed treatment of a wider range topics in statistical learning.

4
24
An Introduction to Statistical Learning with Applications in Python (www.statlearning.com)
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