Agenda

6:00 to 6:30: meet and greet
6:30 to 7:45: presentation and demo
7:45 to 8:00: q & a
8:00 to 8:30: Socialize

Abstract

Join us for a 360 view of developing Machine Learning models using AWS Sagemaker Studio, covering model development and results interpretation.

In this talk Matt Gillett and Vikram Elango will walk through step-by-step approaches on how to use Sagemaker for feature vector based ML and Natural Language Processing models.

During this session we will demonstate code using Sagemaker to devlop models using AutoPilot, the code will be shared on GITHUB.

Takeaways from the session:

(a) code on GitHub having sample code in Python that you can use to solve classification problems

(b) code on GitHub to get started with NLP models.

About the Presenters

Vikram Elango is a Machine Learning Engineer, working at FINRA for 4+ years. He focuses on Natural Language Processing(NLP) - helping business teams transform their challenge using Deep Learning techniques. His area of interest are Neural Networks, Generative Adversarial Networks, Transfer Learning and MLOPs. He has Masters and Bachelors degree in Computer Science.

Matthew Gillett, is a Senior Software Development Engineer in Test who is leading the quality assurance engineering for a few projects at FINRA. His work deals with automated data validation and data related application testing. His interests include efficient data comparison and learning new technologies. Matthew received a B.S. in Computer Science and Mathematics in 2009.

PARKING

FREE and readily available