Lambda School Machine Learning Mini Bootcamp Day 2
- What is ML
- Simple arithmetic applied in great quantities
- Programming
- Simple (and advanced) calculus
- Linear algebra always
- 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
- Where are ML tools going
- Design local
- Share live code and documentation
- Run remote
- 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.