AI / ML Meetup Series (3 of 4) - Kirk Borne - Future of AI in Government

GDG Washington DC
Thu, Oct 18, 2018, 6:00 PM (EDT)

About this event

AI and Machine Learning Enthusiasts!

Your GDG-DC organizer team is so excited to announce a brand new meetup event! Introducing a 4 part series on AI / ML in partnership with the GDG-DC and the Cakes and Tensor's (C&T) Booz Allen meetup groups.

Event Details:
1. September 20th: Algorithms in AI
- Speakers: Jared Sylvester, Booz Allen Hamilton; Megan Yetman, Capital One;
2. October 11th: TF2.0 and AutoGraph : Easier TensorFlow
- Speaker: Alex Wiltschko, Google Brain Team;
3. October 18th: AI Tools and Methods
- Speakers: Dr. Kirk Borne, Booz Allen Hamilton;
4. November 15th: MLKit on Android and Machine Learning with NVIDIA hardware team;
- Speakers: Pete Varvarezis, Android Architect @ Capital One; NVIDIA team.

Meetup Series: 3 of 4

Speaker: Kirk Borne: Data scientist and Astrophysicist at Booz Allen Hamilton

Title: Solving the Data Scientist's Dilemma – The Cold Start Problem

Supervised machine learning is a great tool when you have labeled training data and known classes (outcomes and diagnoses) that you are trying to predict for new previously unseen data. Supervised learning delivers great benefits in one of the most sought-after applications from data scientists: predictive analytics models (including recommendation engines). But, the assumptions of labeled data and known classes are generally not true in unsupervised machine learning -- this is an example of a "cold start problem" -- when you have no prior knowledge to start with. This is a dilemma since unsupervised learning can be the path to true discovery through serendipitous data exploration and surprise detection in previously unseen data. So, how can you maximize the machine learning outcomes, benefits, and applications when faced with the cold start problem? We will discuss this challenge and some solutions with illustrative examples.

Speaker: Dr. Tanushree Luke, Software Engineering at Capital One

Title: Applications of Machine Learning and Artificial Intelligence in the Banking Industry

6:00-6:30 pm - Check-In & Networking (with Food/Drinks)
6:30 pm - Catherine Ordun and Jared Sheehan, Welcome Keynote
6:45 pm - Dr. Tanu Luke
7:15 pm - Kirk Borne
8:00 pm - Networking and Wrap-up