Some really cool blogs/guides compiled over the years

  1. Overfitting explained simply

  2. Leetcode for Data Science

  3. Fundamentals of ML, IITD

  4. Why read, a blog by an alum of 2013-17 batch

  5. ML Primer, using xkcd templates

  6. DL Playlist by Prof Bryce, must watch alongside IDL by Goodfellow

  7. Ensemble Learning

  8. Revise ML through Stanford cheatsheets

  9. Activation Functions
  10. Batch Norm explained

  11. AutoEncoders and Variational Auto Encoders
  12. Do we Use Dropouts with CNN’s ?
  13. Deep Dream. Firing select neurons in the network and propogate changes to the input image, gives weird but interesting patterns.

  14. Exhaustive Blog on LSTMs

  15. Enforcing Constraints at Amazon. Really cheeky way to enforce constraints.

Last updated: July 1, 2025