2014/Know Thy Neighbor: Scikit and the K-Nearest Neighbor Algorithm

From Open Source Bridge Wiki
Jump to: navigation, search

This presentation will give a brief overview of machine learning, the k-nearest neighbor algorithm and Scikit-learn. Sometimes developers need to make decisions, even when they don’t have all of the required information. Machine learning attempts to solve this problem by using known data (a training data sample) to make predictions about the unknown. For example, usually a user doesn’t tell Amazon explicitly what type of book they want to read, but based on the user’s purchasing history, and the user’s demographic, Amazon is able to induce what the user might like to read.

Speaker: Portia Burton

Return to this session's details

Contributed notes

Talk delivered at 1645 on 25 Jun 2014 in room B301 to 18 folks

[slide deck]