Off Duty: Intro to Supervised Machine Learning Concepts

Happy weekend, LinkedIn. Here's a quick conversation piece for your Monday morning: a bite-sized introduction to supervised machine learning.

Link to full, original article, summary points below. (http://www.zldoty.com/supervised-machine-learning-intro/)

While you're waiting for a brunch table, or relaxing at home - here are some quick things you should know about supervised learning.

1. Supervised machine learning is a business problem where you supply an algorithm correctly labeled data
2. You mandate the supervised learning algorithm correctly classify or predict new / unlabeled data, based on its analysis of the labeled data.
3. Two major classifications of supervised learning algorithms are A) classification and B) regression

A) Classification attempts to "bucket" or "group" new values based on patterns, perhaps like the example below:

B) Regression takes a series of known values, making a line of best fit to predict where unlabeled data would live on the line.

Hopefully you learned something new to share with your team this week, have a great weekend!