How Next Glass Combines Science, Machine Learning, and Augmented Reality to Empower Consumers

Next Glass was founded in 2012 on the premise of using science and software to ensure beer and wine drinkers never taste another bad beverage. Through patent-pending technology, Next Glass is cataloging the taste profiles of tens of thousands of bottles of beer and wine by chemically extracting the “DNA” of each using high-res accurate mass spectrometry to develop the world’s only Genome Cellar™. These pure and objective taste profiles (we collect tens of thousands of data points from each bottle of beer and wine) are then coupled with sophisticated machine-learning software and user preference data to create an incredibly accurate recommendation and discovery engine. Next Glass leverages augmented reality functionality to deliver these highly-accurate wine and beer recommendations to users on their mobile devices.

Trace will explain how each of these elements (science, machine learning, and augmented reality) benefit beer and wine consumers and how Next Glass stumbled upon the idea to combine them to do so.

Doors will open at 5:30p. The food and drinks are provided by Bellagios and New Relic. The presentation will begin right at 6p. Then stick around for a special post-event happy hour! You'll get to taste some Oregon beer and wine ... then be one of the first to demo the Next Glass app live at the event, and receive priority access to the beta later this month!

Please RSVP via Eventbrite HERE

Trace Smith is the Chief Operating Officer at Next Glass. Prior to joining Next Glass, Trace was an Associate with Quad-C Management, a billion-dollar private equity fund specializing in investing in profitable businesses valued between $50 million and $500 million and growing them in partnership with management. During his time at Quad-C, he closed two leveraged recapitalizations, one buy-side transaction, and one dividend recapitalization, in addition to his other responsibilities, which included evaluating potential leveraged buyout transactions and monitoring Quad-C's portfolio companies. Prior to joining Quad-C in 2012, Smith was a Senior Analyst at Fennebresque & Co., where he focused on advisory work in transactions including mergers and acquisitions and private capital raises across multiple industries. Trace graduated summa cum laude with honors in finance from Wake Forest University, where he was inducted into the Phi Beta Kappa. He is also a graduate of Woodberry Forest School, where he was a Noland Fellow.

› FutureTalk is brought to you by New Relic in collaboration with TAO

Please make sure to sign up via Eventbrite for this event: https://www.eventbrite.com/e/workshop-machine-learning-fundamentals-201-tickets-55279670984

Women Who Code Portland is holding a Machine Learning Fundamentals workshop. The goal of this workshop is to provide people with an introduction to machine learning using Python and open source libraries.

Attendees should be familiar with Jupyter Notebooks, the Pandas library, and also be comfortable with histograms, scatterplots, and boxplots.

Our events are geared towards women, but we welcome everyone who supports our mission of inspiring women to excel in technology careers and follows our code of conduct.

OUR INSTRUCTORS

Ozlem Senlik

Ozlem is a data scientist at Urban Airship where she builds predictive models for digital marketing. She holds a PhD in Electrical and Computer Engineering from Duke University and has a background in photonics and microsystems.

Lisa Orr

Lisa works as a data scientist at Urban Airship where she builds predictive models on top of digital engagement data. She has a PhD in Psychology from the University of St. Andrews where she studied gestural communication of bonobos.

OUR TA’s

Alekhya Vemavarapu

Alekhya is a member of Enterprise Data Analytics at Nike where she does data engineering & analysis on Asia Pacific region. She holds a Masters degree in Data Sciences from IIIT-H, India and has a background in Computer science.

Siggy Hinds

Siggy is a front end software engineer on the Web team at Urban Airship. She is a recent CS post-bac grad from PSU and also holds a BA in Anthropology from USC. In her free time (between work and being a mom) she studies various programming topics.

Dipti Muni

Dipti is a Senior Data Analyst at Fiserv. She has recently received Database Design & SQL Certificate and has done training in Python for Data Science at Thinkful. She is also an active member at Portland Data Science Group.

AGENDA

9:30 - 10:15 Section 1: What is machine learning? 10:15 - 10:30 Break 10:30 - 11:10 Section 2: Machine Learning Techniques I 11:10 - 12:00 Section 3: Machine Learning Techniques II 12:00 - 1:00 Lunch 1:00 - 1:30 Lecture: Getting into data science 1:30 - 2:30 Section 4: Model Selection and Evaluation 2:30 - 2:45 Break 2:45 - 4:00 Lab 4: Build ML model predicting breast cancer 4:00 - 4:30 Discussion: Discussion on how to leverage today's work into your own projects *Agenda is subject to changes

EVENT COST

The event cost is $15 for participants and includes lunch. Fee is collected via Meetup. If you are a student, under-employed, or in need of financial assistance, we have full scholarships available for this event. Please submit an application here: https://goo.gl/forms/ANmXwj5Uyaqv9WLn2

There will be no refunds for this event. If you cannot attend, you can email us to transfer the ticket to another attendee, or we can add it to our scholarship pool.

CODE OF CONDUCT

Women Who Code (WWCode) is dedicated to providing an empowering experience for everyone who participates in or supports our community, regardless of gender, gender identity and expression, sexual orientation, ability, physical appearance, body size, race, ethnicity, age, religion, socioeconomic status, caste, or creed. Our events are intended to inspire women to excel in technology careers, and anyone who is there for this purpose is welcome. Because we value the safety and security of our members and strive to have an inclusive community, we do not tolerate harassment of members or event participants in any form. WWCode's code of conduct applies to all events run by Women Who Code, Inc. If you would like to report an incident or contact our leadership team, please reach out to one of our volunteers or submit an incident report form.