### CS 451 class prep 6

1. Watch the following
Coursera ML videos in preparation for the next class:
WEEK 3
Regularization
9 Video: The Problem of Overfitting
10 Video: Cost Function
10 Video: Regularized Linear Regression
8 Video: Regularized Logistic Regression
37 min

2. Get started familiarizing yourself with numpy by consulting
some of the following links:

The quiz will only cover the basic numpy operations for
creating and "stacking" matrices, including:
`arange`,
`array`,
`zeros`,
`ones`,
`identity` / `eye`,
`hstack`, and
`vstack`.
The
section on numpy arrays in the cs231n tutorial is a good reference for
some (but not all) of these.
Also, make sure you have Python3 on your laptop with numpy installed.
To test this, type

python3
>>> import numpy

If you get an error, consult the
documentation
for installing numpy. On a Mac it might be as simple as
pip3 install numpy