This repository is created for personal use. But if need, anyone can see, follow or anything else..

• Linear Algebra
  1. Essence of linear algebra (by 3Blue1Brown)
  2. Khan Academy
  3. MIT course (by Prof. Gilbert Strang)
  4. Referance book (2nd Chapter, by Goodfellow)
• Calculus
  1. Essence of Calculus (by 3Blue1Brown)
  2. Khan Academy
  3. Lectures (first 5 videos, by Khan Academy)
• Probability & Statistics
  1. Khan Academy
  2. Referance book (3rd Chapter, by Goodfellow)
  3. And basic theories by web search

• Coursera ML course (by Andrew Ng)

• All of Machine Learning maths
• Referance book (All Chapters, by Goodfellow)

• DeepLearning.ai course (by Andrew Ng)

• A Neural Network in 11 lines of Python
• Anyone Can Learn To Code an LSTM-RNN in Python
• Learning TensorFlow (by Stanford)
• AWS vs Paperspace vs FloydHub
• Reinforcement Learning (CS 294: Deep Reinforcement Learning, Fall 2018)

• Proof of Work Vs Proof of Stake
• Difficulty
• What is Blockchain Technology
• Blockchain Applications
• Smart Contract

• Build the Tiniest Blockchain
• Learn Blockchains by Building One
• Simple Blockchain in Python

• AngleList

• Bangla GRE blog

• What is the best Python data structures & algorithms book?