Skip to content

Instantly share code, notes, and snippets.

@pareshchouhan

pareshchouhan/gist:966aa86e21677dda15e5cf4a80cc612b

Created February 23, 2019 18:41
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save pareshchouhan/966aa86e21677dda15e5cf4a80cc612b to your computer and use it in GitHub Desktop.
Save pareshchouhan/966aa86e21677dda15e5cf4a80cc612b to your computer and use it in GitHub Desktop.
Download ZIP
Resources for statistical learning, data science, machine learning and deep learning
Raw
gistfile1.txt
Introduction to Statistical learning
http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
A more complex book on statistical learning (personally I will prefer the one above this ^)
https://web.stanford.edu/~hastie/ElemStatLearn//printings/ESLII_print10.pdf
ML Intro do it alongside with course.fast.ai (https://course.fast.ai/)
https://www.coursera.org/learn/machine-learning/
Parallely also start learning from kaggle https://www.kaggle.com/learn/machine-learning
Misc (no opinion)
https://www.deeplearningbook.org/
Others:
http://cs231n.github.io/aws-tutorial/ - for python setup
http://www.arxiv-sanity.com/ - for papers
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment