One definition: "Machine learning is the semi-automated extraction of knowledge from data"
Unsupervised learning: Extracting structure from data
High-level steps of supervised learning:
First, train a machine learning model using labeled data
Then, make predictions on new data for which the label is unknown
The primary goal of supervised learning is to build a model that "generalizes": It accurately predicts the future rather than the past!
In :from IPython.core.display import HTML def css_styling(): styles = open("styles/custom.css", "r").read() return HTML(styles) css_styling()