Graph Gurus 32: Using Graph Algorithms for Advanced Analytics - Part 5 Classification

What atmospheric data will help you predict if it's going to rain, snow, or be windy?  What position should that new athlete play? How well can you guess a person's demographic background, based on their chat activity? These are all classification problems -- trying to pick the right category or label for an entity, based on observable features. They can also be solved with machine learning. Join us for the conclusion of our 5-part series on graph algorithms, during which we will explore the territory where graph algorithms overlap with machine learning.

By watching this webinar you will:

• See how similarity algorithms are used to calculate "distances" between entities.
• Learn what data scientists mean when they say Labels and Training.
• Understand the full workflow for the k-Nearest Neighbor machine learning technique, from computing distances to predicting labels for a given value of k, to learning the best value of k.

Presenter:

Dr. Victor Lee, Head of Product Strategy and Developer Relations