- Introduction to Statistical Learning Second Edition - Aug 13, 2021.
The second edition of the classic "An Introduction to Statistical Learning, with Applications in R" was published very recently, and is now freely-available via PDF on the book's website.
Books, Data Science, Machine Learning, R, Statistical Learning, Statistics
- An Introduction to Statistical Learning: The Free eBook - Jun 29, 2020.
This week's free eBook is a classic of data science, An Introduction to Statistical Learning, with Applications in R. If interested in picking up elementary statistical learning concepts, and learning how to implement them in R, this book is for you.
Free ebook, R, Robert Tibshirani, Statistical Learning, Trevor Hastie
- The Elements of Statistical Learning: The Free eBook - May 11, 2020.
Check out this free ebook covering the elements of statistical learning, appropriately titled "The Elements of Statistical Learning."
Book, Free ebook, Robert Tibshirani, Statistical Learning, Trevor Hastie
The 10 Statistical Techniques Data Scientists Need to Master - Nov 15, 2017.
The author presents 10 statistical techniques which a data scientist needs to master. Build up your toolbox of data science tools by having a look at this great overview post.
Pages: 1 2
Algorithms, Data Science, Data Scientist, Machine Learning, Statistical Learning, Statistics
- Short course: Statistical Learning and Data Mining IV, Washington, DC, Oct 19-20 - Aug 8, 2016.
This new two-day course gives a detailed and modern overview of statistical models used by data scientists for prediction and inference, including sparse models and deep learning.
Data Mining, DC, R, Robert Tibshirani, Statistical Learning, Trevor Hastie, Washington
- Free Online Course: Statistical Learning - Jan 12, 2016.
With a free MOOC from Stanford, dive into statistical learning with the respected professors who literally wrote the book on it.
MOOC, Robert Tibshirani, Statistical Learning, Trevor Hastie
- A Statistical View of Deep Learning - Nov 13, 2015.
A statistical overview of deep learning, with a focus on testing wide-held beliefs, highlighting statistical connections, and the unseen implications of deep learning. The post links to 6 articles covering a number of related topics.
Deep Learning, Recurrent Neural Networks, Statistical Learning
