Demystifying Deep Learning & AI
Data Scientist: The Sexiest Job of the 21st Century according to Harvard Business Review.
Artificial Intelligence and Deep Learning are the current buzzwords of the tech industry. So, have you been wondering what all the fuss is about?
Have you wanted to incorporate AI into your products, but have no idea where to start? Are you letting terms like 'Big Data' or 'Differential Calculus Equations' intimidate you from being a part of the leading edge of this technology?
JOIN US for an all weekend, hands on workshop series Demystifying Deep Learning & AI. You will have the opportunity to gain insight from World Class Engineers & Entrepreneurs in the field.
Learn how to use the latest AI open source platforms including:
- Tensor Flow
We have developed community partnerships with the best in the industry so you can network & mingle with entrepreneurs, engineers, students, professors, researchers, product developers, accelerators, and nonprofits. Share your projects and vision for the future of Deep Learning & Artificial Intelligence.
What's in it for you?
- Two days of hands on collaborative learning
- Practical experience applying the latest technology & APIs
- Catered Breakfast & Lunch, with coffee and snacks trhoughout the day
- Networking with fellow participants, successful entrepreneurs and company sponsors
- Play with robotics equipment & gear from our sponsors
- Become a part of the Bay Area AI & Deep Learning Enthusiast Community
- Continued learning & ability to ask questions in our follow up lab sessions & community slack channel
Tickets are not sold out yet. Sign up before it is too late.
The official Demystifying AI Workshop Hashtag is: #DemystifyAI
We will use Twitter for live announcements and updates from the event. Follow us at @AccelerateAI.
Join our Accel.AI FaceBook Page & AI Deep Learning Enthusiasts Group to share some photos of the event. We plan on periodically live streaming short interviews and broadcasting what people are working on through Facebook.
The presentations will be live streamed on our Accel.AI Youtube account.
We created a slack channel for easy communication during the event Join: #demystify-ai-workshop.
Join Accel.AI Slack Channel!
Full PDF Brochure of Schedule to be released!
Friday Night - July 21st, 2017 - NextSpace Berkeley
6:00 - 9:00 pm | Optional Software Download & Install Mentoring Session @ NextSpace Berkeley
Saturday - July 22nd, 2017 - Merritt College Civic Center
9:00 - 9:30 am | Check-in & Breakfast
9:30 - 10:00 am | Opening Remarks
10:00 - 12:00 pm | Introductory & Advanced Sessions
12:00 - 1:00 pm | Lunch is Provided
1:00 - 4:00 pm | Introductory & Advanced Sessions
4:00 - 4:30 pm | Closing Remarks
Sunday - July 23rd, 2017 - Merritt College Civic Center
9:00 - 9:30 am | Check-in & Breakfast
9:30 - 10:00 am | Opening Remarks
10:00 - 12:00 pm| Introductory & Advanced Sessions
12:00 - 1:00 pm | Lunch is Provided
1:00 - 2:00 pm | Roundtable Discussion
2:00 - 4:00 pm | Lightning Talks
4:00 - 4:30 pm | Closing Remarks
Master of Ceremony
Product Manager & Software Developer
Eleanor is a product manager and software developer with 8+ years' experience working in start-ups with data-centric products. Most recently she was the VP of Product at Kevala, an early stage start-up that is building a platform to help renewable energy stakeholders make better investments in the grid. Before that she spent five years in ad tech, some of them as VP of Product Management & Consumer Insights at TubeMogul as they transitioned to becoming an ad tech platform and through the July 2014 IPO (NASDAQ:TUBE, acquired by Adobe in 2016).
Ms. Craig’s is a relationship builder that has fostered Silicon Valley business relationships for over 20 years’ in the tech, non profit, and startup world. Be it sales, business development, or channel management, Ms. Craig used her diverse skill set to drive companies to financial, P.R., and social success. She has nurtured business collaborations at companies such as Apple, Adobe, CapGemini, Microsoft, PacBell, and Epicentric. Ms. Craig’s passion is to help those in need and used her talents to start companies focused on wireless technology, with a goal of cultivating a workforce from underprivileged communities. Ms. Craig is devoted to women's workplace and minority social issues which she has integrated into every position held. Social justice is everyone's responsibility.
Founder & CEO at Techtonica
"Any good engineer can solve problems; Glauser challenges the assumptions behind them. If you missed the #ILookLikeAnEngineer hashtag and billboard campaign in 2015, then you also missed how Glauser, prompted women and minorities throughout the tech industry to empower themselves and to express their identity as engineers. In a similar vein, she’s now working on a startup that will help further empower low-income individuals by giving them free training and helping place them in companies looking to increase diversity. Glauser completed Hackbright Academy in 2012 and has worked as a full-stack developer in several different companies since then. In addition to her tireless efforts to create opportunity in software engineering, she also serves as the Lead for the San Francisco PyLadies meetup."
Executive Director at dev/Mission
Leonardo Sosa has shared his insights on the digital divide at seminars, technology conventions, and tech companies. He is the Founder, CEO and Executive Director of dev/Mission and he was previously the technology manager at the Digital Opportunity Center for MEDA, a multi-tiered resource that connects community members to computer training, broadband access to low income families that receive free/reduce lunch, wireless access, support for job searches, financial education, and many other services.
Leonardo Sosa’s personal and professional history gives him extensive insight into the challenges that confront Latino youths aiming to succeed as first-generation college students. He is an enthusiastic role model whose professional path illustrates the wide range of career opportunities that begin with technical training. His greatest passion is directing leadership and tech training program for low-income youth in the Mission. His extensive contacts in San Francisco’s tech industries are invaluable to youths striving to bridge the digital divide and make a place for themselves in the most exciting sector of the region’s economy.
Marques D. Anderson
Founder/Director at World Education Foundation
Marques D. Anderson is the Founder and Director of the World Education Foundation, a solution based organization, which bridges the gap between academic and expert knowledge and their implementation. Working with the UN, universities, local communities and business leaders from around the world, Marques has accumulated extensive experience in systems design and design thinking processes. His work and vision is focused on creating global learning societies by connecting, exchanging and implementing creative ideas to produce inspiring new markets and narratives across borders. Through his life experiences, he has honed his skills to becoming a master cultivator of connections, innovation and discoveries which create new avenues of thought, technology and learning.
Director of Research, Syntience Inc
Independent AI researcher, implementer, epistemologist, and educator exploring Deep Neural Networks since 2001; ex-Googler; founder Syntience Inc. and Sens.AI.
Omar U. Florez, PhD
Machine Learning Research Scientist at Intel Labs
Dr. Omar U. Florez is a Research Scientist at the Personalized Computing group at Intel Labs (Santa Clara, CA). He received his PhD in Computer Science at Utah State University and he is also a recipient of an Innovation Award on Large-Scale Analytics by IBM Research. His research interests cover statistical machine learning, recommender systems, and deep learning. He has published 20+ research publications and his prior work experience include IBM Research (2010, 2011). Dr. Florez is also co-founder of Southamericans in Computing and is board member of the Intel Latino Network (ILN).
Maria Carolina Fujihara
Sustainable Cities Consultant
Maria Carolina Fujihara, Architect and Urban Planner, served as an architect and researcher for several certification projects. Was Technical Coordinator of the Green Building Council Brasil for 7 years, where she had the ability to disseminate the sustainable constructions concepts through several courses and lectures about LEED Certification and Referencial Casa Certification, with national and international fronts. Holds a specialization degree in ‘Cities Planning and Management’, from the São Paulo University, Politecnica School of Engineering. Participated as an active member of the LEED International Roundtable from the United States Green Building Council, together with more than 30 countries.
Maria is an Advisor for Project Drawdown, which is a broad coalition of researchers, scientists, graduate students, PhDs, post-docs, policy makers, business leaders and activists to assemble and present the best available information on climate solutions in order to describe their beneficial financial, social and environmental impact over the next 30 years. Collaborator of Urbi-I start-up, which aims to share, promote and encourage more humane, democratic and vibrant cities. Member of the DGNB Chapter Brazil; Member of the Living Building Challenge Chapter Brazil; also has several interviews and publications in newspapers, magazines and blogs (national and international).
Machine Learning Engineer
As a former engineer at Palm and at Apple, I spent 11 years on Wireless Technologies supporting Cellular Baseband Development, and 4 of those years as a Machine Learning Engineer. I am currently an Independent Researcher focused on Deep Learning technologies.
VP of Engineering at EdCast, Inc.
Michael Khait is a serial entrepreneur and the Silicon Valley veteran. His primary focus is on building and shipping an exceptional products, form and manage high performance organizations and advise startups. In his spare time, when he is not spending it with his wife and son, he enjoys learning about chatbot development, machine learning, and cryptocurrencies. Michael currently serves as a VP of Engineering for EdCast and a founder at Turbo.ai
Lukasz Kidzinski, PhD
Researcher at Stanford University and CoFounder at Deepart.io
Łukasz Kidziński is a researcher in the Mobilize Center at Stanford, working on the intersection of computer science, statistics and biomechanics. Before, he finished his PhD training at Université Libre de Bruxelles in mathematical statistics, working on time series analysis and functional data. He obtained two master degrees, in mathematics and in computer science, from the University of Warsaw. His main interests include machine learning, data mining, big data, time series analysis and applied statistics. He is also interested in dynamics of on-line gaming.
Lingqiang Kong, PhD
Senior Data Scientist at Metis
Lingqiang is a data science instructor and teaches a 12-week immersive data science bootcamp at Metis. Lingqiang got her PhD in Computational Neuroscience at Boston University, building machine learning models to decode different attentional states of the brain from neuroimaging data. She also studied the connectivity patterns of cortical nodes when the brain is at rest, a technique that sheds light into early detection of traumatic brain injuries (read: war veterans and football players etc). In her spare time, Lingqiang likes mystery novels and all things Sherlock.
Software Engineer at Tripping
Software Engineer, Deep Learning Enthusiast, World Traveler
CEO/Founder at BluewordAi
Masha worked in startups in Silicon Valley since 2004. Started in fashion and eCommerce, then moved to education and tech. Founded BluewordAi in 2014 to help companies improve their email communication. Masha also works with chatbots, VC funds, and helps European startups in SV.
Founder at DataCabinet
Pankaj is a co-founder at DataCabinet. Before starting DataCabinet, Pankaj held engineering positions at AppDynamics and Microsoft. Pankaj graduated from the Indian Institute of Technology, Kharagpur and then went to Purdue University for Masters of Science. He recently completed the Graduate Certificate in Statistical Data Mining and Applications from Stanford university. He is a Deep Learning/Neural Network enthusiast.
Founder, CEO at MOTI
Kayla is a designer, engineer, and entrepreneur, currently the founder and CEO of behavior change startup, MOTI. Since her days as a double major in art and mechanical engineering at Yale University, she has always been a wearer of many hats. Starting first in design education, Kayla helped shaped the formation of the Yale Center for Engineering, Innovation, and Design and has taught design thinking at Northwestern University. Transitioning into industry, she has worked both at the small consultancy and large corporation level in the consumer product and health spaces. Her current company, MOTI, develops physical and digital bots to motivate users into wellness habits using behavioral science and user-centered design.
Founder & CEO at Accel.AI
Laura has been described as a natural and versatile leader with a passion for Artificial Intelligence, Computer Science, Research, and Psychology. She has a B.S. in Biology, Physical Science, and Human Development from Eastern Michigan University. Her personal interests include growth & empowerment, diversity, and community outreach. She is also a Director with Women Who Code, a global non-profit dedicated to inspiring women to excel in technology careers.
Stanford, UC Berkeley, DeepChem Author
Bharath Ramsundar received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He is currently a PhD student in computer science at Stanford University with the Pande group. His research focuses on the application of deep-learning to drug-discovery. In particular, Bharath is the creator and lead-developer of DeepChem, an open source package that aims to democratize the use of deep-learning in drug-discovery and quantum chemistry. He is supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences.
Melissa Roemmele, MA
Graduate Research Assistant/PhD Candidate, University of Southern California
I’m a PhD candidate in Computer Science at the University of Southern California. I work as a research assistant at the Institute for Creative Technologies, an interdisciplinary research center that develops immersive media for training and education. My own research explores how to apply natural language processing and machine learning techniques specifically to narrative text. I’m particularly interested in how this work can be used in interactive applications for the purpose of stimulating human creativity in story writing. More broadly, I’m excited by any opportunity to use automated analysis of natural language data to bridge the social and computational sciences.
Software Engineer at Salesforce
Organizer of Deep Learning Enthusiasts Meetup Group and a backend engineer at Metamind. He received his Master’s in Computer Science (AI track) from University of Illinois at Urbana Champaign (UIUC). His interests include Deep Learning, Natural Language Processing and large-scale Machine Learning.
He worked with Prof. ChengXiang Zhai, UIUC, on discovering controversial points in news articles by leveraging social media conversations. He was the recipient of the Cognitive Science/Artificial Intelligence Award – 2014, awarded by the Computer Science Department, UIUC
Business and Data Analyst, AI/ML consultant at Wells Fargo
Sudha is a data specialist with over 22 years of professional experience that encompasses building analytics based solutions. She is currently an AI/ML Consultant at Wells Fargo. On her previous assignment for State of TX, she was involved in building custom algorithms, risk model by applying machine learning techniques. She is a co-organizer of East Bay R Language Beginners Group and a host of R and Data Science meetup groups in the Bay Area. She plans to start a new R-Ladies chapter in August 2017 and hopes to promote R and Data Science among women aspirants.
Rachel Thomas, PhD
Founder + Researcher at Fast.ai
Rachel Thomas has a math PhD from Duke and was selected by Forbes as one of "20 Incredible Women in AI." Her background includes working as a quant in energy trading, a data scientist + backend engineer at Uber, and a full-stack software instructor at Hackbright. Rachel's writing has made the front page of Hacker News 4x; been translated into Chinese, Spanish, & Portuguese; and been featured in newsletters from O'Reilly, Fortune, Mattermark, & others.
She is now co-founder of fast.ai and a researcher-in-residence at University of San Francisco Data Institute. She writes an ask-a-data-scientist advice column at fast.ai and is on twitter @math_rachel Rachel co-founded fast.ai with the goal of making deep learning accessible to people from varied backgrounds outside of elite institutions, who are tackling problems in meaningful but low-resource areas, far from mainstream deep learning research. Over 50,000 students have started the FREE fast.ai course, Practical Deep Learning for Coders, available at http://course.fast.ai
Research Engineer at Vicarious
Nathaniel earned his AB/SM in Computer Science from Harvard. He previously worked as a Quant and Trader at Jane Street and Goldman Sachs before transitioning into the pure tech industry. Nathaniel worked as a Data Scientist at Facebook, a Product Manager at Microsoft and a Software Engineer at Google before joining Vicarious. He is an avid reader and learner. He teaches part time at General Assembly and is developing open source teaching material for data science, machine learning, and web development.
Senior Data Scientist & Developer Advocate at Google
Melanie Warrick is a Senior Developer Advocate at Google. Previous experience includes work as a founding engineer on Deeplearning4J as well as implementing machine learning in production at Change.org. Prior experience also covers business consulting and large enterprise technology implementations for a wide variety of companies. Over the last couple years, she's spoken at many conferences about artificial intelligence, and her passions are working on machine learning problems at scale.
Data Scientist at Discern Analytics
Sanjay has a Masters in Electrical Engineering from the University of Texas and a Data Analytics/Machine Learning Certificate from University of Santa Cruz. As a Data Scientist at Discern, he is responsible for developing big-data analytics platform deployed on AWS and deploying Deep Learning & Machine Learning for extracting insights from Industrial-IoT and financial datasets.
Software and Electrical Engineer
Blerina completed a Masters in Electrical and Electronics Engineering from the University of Central Florida. She worked as an Electrical Engineer at Maxim Integrated Products where she designed, validated, documented and released libraries of semiconductor devices and circuits to be used by 2000+ engineers. She transitioned into software engineering by completing a software development immersive program called Hackbright Academy.
I have a intuitive sense for user experience design and well versed in web application design. I am passionate about social good. I believe that product drives everything. User community is the largest asset that drives social impact. My most recent victory is leading a team of overseas engineers to release company’s first iOS app and implementing a ticketing system. Some of my vital accomplishments are winning 2 hackathons (Cisco and iOSDevCamp) and accepted into highly competitive (8% acceptance rate) Cisco SkillZone pilot program.
Shilpa Dutta, MPH
Shilpa is a resourceful individual and a passionate thinker. She wishes to make a positive social impact on the world through data-driven optimization. She graduated in 2014 with her MPH in Community & International Health and has worked extensively in research, and with marginalized populations. After learning programming languages on her own and realizing she had untapped strengths in efficient problem-solving, she applied and enrolled at Hackbright Academy. During her time there, she was immersed in computer science fundamentals and web development, in preparation of becoming a full-stack engineer. Shilpa is currently seeking opportunities to contribute and learn from a mission-driven company with her knowledge and skills in computer science, and by incorporating her passion for a more fair and equitable place.
Senior Engineer and Mentor at Accel.AI
Bethany graduated from the Johnston Center at the University of Redlands with a concentration in International Relations and Economics. She worked in diverse areas from Education Reform to Investment Banking before joining her first startup in 2000 as a Quality Assurance Engineer. She evaluated a wide variety software until 2015, when she attended Hackbright Academy and renewed her passion for programming, data visualization, and Machine Learning.
Software Engineer at Eventbrite
Data / Experience Consultant, Technology Coach
My full-stack technology experience includes creating public affairs application prototypes to 1) facilitate efficiency before, during, and after emergencies and other unique events, 2) educate individuals and businesses about protecting data on line, 3) engage and protect vulnerable populations that have limited access to technology, and 4) drive cross-platform developer experiences that accelerate the adoption of technical solutions to enhance security and protect commerce.
Current Obsession: Independently designing architectures for safe data storage, exploration, and collaboration. Evaluating clouds and hardware-based options. Sharing my findings at conferences.
Senior Data Scientist at Globant
I am a data scientist with deep understanding of computer science, applied mathematics, statistics and operation research. I currently work at Globant solving various data problems for clients. I have a Master’s degree in Operations Research and Bachelor’s degree in Applied Mathematics. I understand the power of data and have a passion for transforming business thorough real time analytics.
My data analytic skills include Python, R, Pandas, SQL, Java, C, C#, Spark, MapReduce, Flask, MongoDB, AWS, Seaborn, regression analysis, machine learning, natural language processing, time series, clustering, principal component analysis, dimensionality reduction, and recommender system, neural network, deep learning, and data visualization.
Software Engineer at Facebook
Software Engineer at Facebook with a background in Product Development, Deep Learning and Theoretical Computer Science (specifically in Graph Theory and Game Theory).
Data Scientist at Five Stars
I am a young professional looking for new challenges within the Analytics space. I am proficient in SQL and Python (pandas, numpy, Bokeh, scikit-learn, stats models, scipy.stats etc.) and have experiences using R and SPSS. I have a master's in theoretical physics during which I modeled and predicted experimental outcomes; and over two years of commercial experiences which include designing metrics and analyzing social impact for charities and non-profits; product analytics as well as user behavior analysis to increase revenue. I've worked cross-functionally with Product, Marketing and Sales to communicate the product value, used machine learning algorithms to increase customer retention and prevent churn; analyzed A/B tests. I have experiences of building dashboards and visuals using Periscope and Tableau.
Entrepreneur & Tech Consultant
Is a tech expert with experience in many software eco systems. In the past few years he specialized with BigData and Hadoop and worked as a software architect. His current interests are Data Science and AI at San Francisco State university.
After attending University of California Davis, Mona completed Hack Reactor's software engineering bootcamp program and now works as a Teacher's Assistant for Telegraph Prep Academy.
Software Engineer & Senior Business Analyst
I'm a full-stack engineer with a background in software project management in healthcare. Having worked in healthcare and with end-users directly, I am passionate about creating software that is private, secure, and user experience focused. Similarly, these values extend to my code (with the understanding that users of my code are sometimes other developers) and I look forward to bringing these principles into future projects I work on. While not programming you can find me globetrotting, adventuring outdoors, dabbling in new hobbies, or in my test kitchen perfecting recipes and brewing kombucha.
Interested in sharing your knowledge?
We pride ourselves in bringing the best and brightest engineers & entrepreneurs to present and mentor at our workshops. If you are passionate about sharing your knowledge and experience in Artificial Intelligence, Data Science, Data Engineering, Data Analytics, Data Visualization, Big Data, Robotics, or Gaming with the community.
Interested in volunteering?
Not an engineer or researcher but you'd still like to be involved? We need volunteers to help make this an amazing workshop. Sign up to be a volunteer for the opportunity to receive free entry!
Interested in Sponsoring?
We have general and scholarship sponsorship packages available for one time or ongoing partnerships with Accel.AI!
Friday Optional Mentoring Session
2081 Center St
Berkeley, CA 94704
Civic Center, Building P
12500 Campus Drive
Oakland, CA, 94619
Merritt College Civic Center is serviced by the 54 AC transit line from Fruitvale BART Station.
Parking is Free at Merritt College during the weekend workshop. Parking lot C on campus is nearest to the Civic Center presentation space.
Why are you doing this?
Accel.AI is on a mission to make developing Artificial Intelligence more diverse, inclusive, and impactful by removing barriers to entry.
Do you offer discounts?
We offer students a 50% discount with code "STUDENT" upon registration. We will be checking student IDs at check-in so be sure to bring yours.
To ensure these opportunities are not cost prohibitive to anyone, if you identify as an "underrepresented person" in tech (eg. woman, person of color, lgbtq, or person with disability). Contact us to receive up to an 80% discount!
Do you offer Scholarships?
Yes. In an effort to lower the barriers to entry for underrepresented women in Artificial Intelligence, we have created a Scholarship Fund. Recipients of this scholarship will receive free entry for workshops, and if they are traveling from abroad, travel and hotel accommodations will be provided for them. Apply for the Scholarship!
Do I need prior engineering experience to attend?
No. Although many of our presentations and tutorials are highly technical, our introductory sessions are geared to participants with no prior experience.
Who is the target Audience?
All are welcome at our workshops! We offer parallel intro and advanced session from hands on tutorials of the building blocks of AI to talks describing the latest research. Our participants include students, industry professionals, engineers, researchers, entrepreneurs, investors, and those just curious to learn what all the fuss is about.
Do I need to provide my own laptop?
Yes. We are not able to provide laptops at this time, but we are working to make this option available at future workshops.
Do I need to download and install any software prior to attending?
Yes. If you plan on following along with the tutorials, it is recommended that you install Python, Anaconda, Jupyter Notebook, Scikit Learn, and Tensorflow on your laptop prior to attending.
Package Installation Instructions:
- Python - https://www.python.org/downloads/
- Anaconda - https://docs.continuum.io/anaconda/install/
- Jupyter Notebook - http://jupyter.readthedocs.io/en/latest/install.html
- Scikit Learn - http://scikit-learn.org/stable/install.html
- Tensorflow - https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html
Instructional videos for step by step installation guides:
- Introduction to Machine Learning with Python - Set up Instructions for Windows (python, numpy, matplotlib, scipy and scikit-learn)
- Install Anaconda, Jupyter Notebook, Spyder on Windows 10
- Installing TensorFlow - Installing CPU and GPU TensorFlow on Windows
- Introduction to Machine Learning with Python - Set up Instructions for Mac (python, numpy, matplotlib, scipy and scikit-learn)
- Installing Anaconda & iPython Jupyter Notebook on Mac OS X
- Installing TensorFlow - TensorFlow is supported by Mac and Linux, but not Windows. You can use their Docker distribution on Windows if you wanted.
What if I need help with package installations?
Attend our optional software download and install mentoring session Friday evening. We'll have some mentors available throughout the weekend to assist as well.
Can I participate remotely?
Absolutely! We provide live streaming of our workshop on the Accel.AI Youtube account.
Will there be opportunities to continue collaborating after the workshop?
Standard Workshop Disclosures
CODE OF CONDUCT:
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers.
For full version, please see: confcodeofconduct.com.
PHOTOGRAPHY & VIDEOGRAPHY:
We take photos and video at our events. Some of these images will be used on our website. We seek to respect your privacy and ask that if you do not want your likeness to appear on Accel.AI to please email us.
By signing up for this event, you will automatically be added to future Accel.AI announcements.
We do not make announcements for non-related events or conferences at our gatherings. Distribution of flyers, printed media or other non related materials is not allowed at our events.
This gathering is limited to 200 people. You MUST be pre-registered to attend. Registration must include your First and Last name, and some of our venues require ID for entry. You do not need to print a paper ticket. We will be checking people in the building lobby. Questions or comments? Contact us!
Full refunds available if requested at least 7 days prior to event.