by Rahul Chandnani | Publisher: Technics Publications | Release Date: November 2017 | ISBN: 9781634622882

This video explores metric learning. These are the topics that will be covered: Intuition behind metric learning Importance of metrics in various tasks of machine learning like classification and regression Example of using information retrieval (image search) Mathematical definition of metric, commonly used metrics, and the process to choose a good metric according to the task at hand Limitation of standard metrics from a classification point of view Formal definition of metric learning Classification constraints on metric learning Learn-able metrics (mahalanobis distance) Limitation of standard mahalanobis distance How to modify mahalanobis distance to overcome limitations of using co-variance matrix Science behind feature space transformation Metric Learning Algorithms (LMNN and ITML) Algorithms as optimization problems Limitations of linear metric learning and their solutions How to do metric learning from a practical point of view using KNN Pointers on approaching any problem using KNN and metric learning

1. Metric Learning 1:05:18