Today's Notebooks:

Approximate Plan

0-30 mins: Technical Prerequisites — Making sure everyone is on the same page and able to open and run stuff, has access to the repository we will be using, Jupyter and IDEs etc.
30-70 mins: Neurons and Lines — Some smartboard chalk and talk from Josh
- Learning A Line (Regression) vs. Artificial Neurons
- Changing Perspective: Functions and Equations to Parameters and Learning
- Loss Function and Training Loop
- Soapbox about integrating Maths and Programming
70-90 mins: Notebooks and Tutorials (as much as we get to)

Machine Learning Toward AI Session 2
0-45 mins: Notebooks and Tutorials (as much as we get to)
45-90 mins: From Neurons to networks
- Loss Function and Training Loop Intuition: Loss Surface
- Distance and Loss: from Lists to Mean Squared Error
90-as long as you want to go: Working on "Learning a Line", Prep for Tomorrow!

Some things that might be helpful:

Pycharm IDE: https://www.jetbrains.com/pycharm/
Google Collab: https://colab.research.google.com/
Way of getting python, jupyter, sqlite3, and a bunch of libraries on any computer without admin permissions: https://www.edupyter.net/en/
3 Blue 1 Brown: Playlist on Neural Networks
Welch Labs: Playlist on Neural Networks
My Github: https://github.com/deweydex/