Machine Learning & NLP Advances + Networking + Amazing Swag!

The March meetup will feature the great Grant Ingersoll discussing a super interesting and relevant topic - Machine Learning & NLP Advances to Enhance Search & Discovery.

Doors will open at 5:30 - 6:00 pm ET for networking and food and beverages. Live programming will begin at 6:30 sharp and wrap up by 8:00. We fully understand it's a work night and everyone has work/family obligations, so we'll stay on time.

In addition to great presentation and world-class speaker, the meetup will feature plenty of networking opportunities and free swag (t-shirts, hats, stickers,, etc.).

Location:
Dubois Center at UNC Charlotte Center City
2nd floor - Lecture Hall
320 E. 9th Street
Charlotte, NC 28202
Website

*Note, public rail, including a public rail station, is located bedside the DuBois Center and easily accessible. More information can be found here. Multiple parking options are also available. Parking details can be found here.

Speaker: Grant Ingersoll

Speaker Bio:
Grant is CTO of Develomentor, focused primarily on the search, NLP and machine learning space. He is the former CTO of the Wikimedia Foundation and the co-founder, CTO & Board Member of Lucidworks; co-author of Taming Text; co-founder of Apache Mahout and a long-standing committer on the Apache Lucene and Solr open source projects. Grant’s experience includes managing a large team of engineers, researchers, ML engineers and data scientists at a top ten website as well as engineering a number of search, question answering, and natural language processing applications for a variety of domains and languages. He earned his B.S. from Amherst College in Math and Computer Science and his M.S. in Computer Science from Syracuse University.

Talk Title: Machine Learning & NLP Advances to Enhance Search & Discovery

Talk Abstract:
With the recent advances in natural language processing and machine learning thanks to deep learning and large general purpose models, many search applications are confronted with how best to upgrade their systems, if at all. In this talk, we’ll look at practical ways to enhance search using neural and other machine learning techniques across ranking, content understanding and query understanding. We’ll also look at the tradeoffs of traditional approaches with a goal of helping you decide what’s best for your application.

Questions?
Contact us at info@allthingsopen.org