Same place, still looking for speakers. If you have anything you would like to present, let me know!
If you need parking, there's a parking deck below Safeway.
6:00 p.m.: Food, beverage, and networking
6:40 p.m.: Welcome message by Karl Fezer
6:45 p.m: Speaker 1: Milind Pandit: Semantic Parsing: Natural Language Understand in Python, Part 2
7:30 p.m: Speaker 2: Yu Zhou: Improve insight-to-action conversion for a greater real world Impact
8:15 p.m.- 8:30: Project Ideas. Pitch your Project Ideas to this Meetup group
Speaker 1 Details:
Learn how to implement your own Semantic Parsing Algorithm in just Python! No external libraries needed. Feel free to bring your laptop and follow along. This is the second section of a two part series.
Milind is a Machine Learning Solutions Architect at Intel. He leads a team of engineers to deliver Intel-based end-to-end machine learning solutions to a variety of industries.
Speaker 2 Details:
We use machine learning to derive patterns from big data sets, and then we either deploy the machine learning models into production or deliver insights to business stakeholders for execution. In the second scenario, we want to leverage data storytelling to optimize the insight-to-action conversion, so that our machine learning work can make a real difference. Join this presentation to learn three methods in data storytelling.
Yu Zhou is a Data Scientist at Mastercard, responsible for fraud detection and product development.