Mastering Model Selection & Bias-Variance Tradeoff in Statistical Learning πŸ“Š

Explore essential concepts in Statistical Learning, including Deep Learning, Survival Analysis, and Multiple Testing, with insights from Professor Trevor Hastie. Enhance your understanding of model selection and balancing bias-variance for better predicti

Mastering Model Selection & Bias-Variance Tradeoff in Statistical Learning πŸ“Š
Stanford Online
46.5K views β€’ Oct 7, 2022
Mastering Model Selection & Bias-Variance Tradeoff in Statistical Learning πŸ“Š

About this video

Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing

Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie

Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani

Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor

You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (https://www.edx.org/course/statistica) or in Python (https://www.edx.org/learn/data-analysis-statistics/stanford-university-statistical-learning-with-python)

For more information about courses on Statistics, you can browse our Stanford Online Catalog: https://stanford.io/3QHRi72

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Oct 7, 2022

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