Graph Gurus 32: Using Graph Algorithms for Advanced Analytics - Part 5 Classification
Recorded April 1, 2020
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.
Dr. Victor Lee, Head of Product Strategy and Developer Relations