Lambda School Machine Learning Mini Bootcamp Day 2

1. What is ML

• Simple arithmetic applied in great quantities
• Programming
• Simple (and advanced) calculus
• Linear algebra always

2. What are the basic tools of ML programming

• Numerical programming languages:
  • Python
  • R
  • Matlab/Octave
  • Javascript? All the others, too!
• What are the important requirements of ML languages:
  • Swift data manipulation
  • Robust data APIs
  • Speed
  • Platform independence

3. Where are ML tools going

• Design local
• Share live code and documentation
• Run remote

4. Setting up python

• Local
• pipenv
• colaboratory
• Jupyter
• Important libs

Assignment

Create yourname_day_2_mlmbc.py. It must print the result of 54321 * 12345. Deliver it to me via pull request.