Mathematical understanding:

• In linear setting
  • For training, we are given both (x,y) as parameters
  • We can train off this and then we are trying to find how x maps to y
• Our model
  • Accepts X, y
    • X is a matrix of batch size x matrix size
• Goal for next week
  • Come up with mathematical solution for a model to solve the same problem
• Pointers
  • bag of words
  • TF - IDF
  • Naive Bayes’
  • NNS
• Basic outline
  • Tokenization
    • Make tokens split by spaces