MachineLearning.ipynb

Kernel: Python 2

List of topics to cover:

• Bayesian solution to overfitting

  • Salisman's solution to the Don't Overfit

• Predictive distributions; "how do I evaluate testing data?"

• model fitting, BIC + visualization tools

• Gaussian Processes

Would be nice/cool to cover:

• classification models (using the books text)

• Bayesian networks?

from IPython.core.display import HTML


def css_styling():
    styles = open("../styles/custom.css", "r").read()
    return HTML(styles)
css_styling()