Closed tamojit-maiti closed 4 years ago
@tamojit-maiti would you be available to present this talk in the 18th Jan meetup?
@tamojit-maiti would you be available to present this talk in the 18th Jan meetup?
Yes, I'll be available on 18th Jan to present this talk
Great. You are up for the second slot: 11:00 AM to 11:30 AM. See you there.
Great. You are up for the second slot: 11:00 AM to 11:30 AM. See you there.
@TrigonaMinima Sure, thanks! I'll be there.
Hey @tamojit-maiti, can you please upload the presentation somewhere online (google drive, google docs, github, slideshare) and share the link here? Need to update the readme.
@TrigonaMinima I have uploaded them on my GitHub. Please have a look
Thanks for the talk. See you in the future talks.
Title
A look at state-of-the-art dimensionality reduction techniques
Description
A glance at dimensionality reduction techniques applied to public datasets
Duration
Audience
Talk is for beginners as well as for intermediate data scientists
Outline
With the advent of large amounts of data, it can be difficult to develop a feel for the data as well as identify latent features that possess most predictive power. We take a look at traditional matrix-based factorization approaches to dimensionality reduction, introduce the audience to current state-of-the-art manifold-based approaches and compare their performances on popular publicly available datasets.
Topics
Additional notes
https://www.linkedin.com/in/tamojit-maiti-635691157/