## Fitting A Line ![[2022-09-12-18-47-03.png]] ![[2022-09-12-18-47-17.png]] ![[2022-09-12-18-47-34.png]] ![[2022-09-12-18-47-44.png]] ## Supervised Thus far supervised machine learning has gained the most traction in use cases across business applications. Studying labeled data, these techniques can extend patterns to unlabeled data. Supervised learning is used for many business applications from spam filters to movie recommendations. We looked at the two broad categories of supervised machine learning: - Classification - Regression Deep learning can be used within supervised machine learning to create techniques that are better at image recognition or identifying when a movie was created based on the video footage. ## Unsupervised Unsupervised techniques are the second most used in business applications. By learning patterns even when data do not have labels, these techniques can group items together that are likely to be similar. Unsupervised techniques are used for business applications from figuring out market segments to again building recommendation engines.