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t-Distributed Stochastic Neighbor Embedding

In this video, we introduce t-distributed stochastic neighbor embedding, or t-SNE for short. We compare it to Multidimensional scaling (MDS). While the difference between the two methods is hard to spot using small datasets it becomes more pronounced with larger ones. We conclude that MDS preserves the distances between data points while t-SNE preserves each point’s neighbors. This video is a part of Introduction to Data Science video series that dives into machine learning, visual analytics, and joys of interactive data analysis using Orange Data Mining software (https://orangedatamining.com). SUBSCRIBE to our channel:    / orangedatamining   The development of this video series was supported by grants from the Slovenian Research Agency (including P2-0209, V2-2274, and L2-3170), Slovenia Ministry of Digital Transformation, European Union (including xAIM and ARISA) and Google.org/Tides foundation. #machinelearning #orange #visualanalytics #datamining __ Written by: Blaž Zupan (http://biolab.si/blaz) Presented by: Noah Novšak Production and edit: Lara Zupan Intro/outro: Agnieszka Rovšnik Music by: Damjan Jović – Dravlje Rec Orange is developed by Biolab at University of Ljubljana (https://www.biolab.si)