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Past workshops

ML event 2019 ML event 2018 Blockchain 2017 Machine Learning 2017

GoVertical presents

Vertical ML/AI Startup Creation Weekend

Hosted by Madrona Venture Labs & TiE Seattle

GoVertical Application

Applications are due Feb 4. Please fill out this application form to be considered for the event. We will notify you if you have been accepted. At that time, we will also release a ticket to the event that you will need to purchase within 48 hours. The ticket to the Startup Creation Weekend, which includes admission to the kickoff event, costs $99 (students tickets are $25). All applications are confidential.

*First name*Last name*Email*Please confirm that you will be able to attend the kickoff event on Feb 13 in addition to the workshop on Feb 22-24YesNo*How did you hear about the workshop?TiE SeattleMadrona VenturesGeekwireWTIAEventbriteOther*Please add your LinkedIn profile*How would you primarily characterize your work experience?Product (product management, design)Business (marketing, finance, sales, BD, etc.)Software developmentData scienceOther*Indicate your experience with machine learning (prior experience is not required)Newbie – I have read up about machine learning and understand the general conceptsIntermediate – I have played around with some ML tools and built sample modelsAdvanced – I have used machine learning in my work and trained multiple models*If you found the right idea and team at the workshop, which option are you most likely to pursue? (we will not share this information)Pursue the idea part time until the idea is fully validated and then leave my current jobLeave my job and pursue the idea full timeI'm not interested or am unable to do a startup at this timeIf you are interested in applying as a team, please enter names of other team members (separate applications will be needed)If you have a startup idea to pitch at the event, please provide a short description (optional). You can also email your pitch to GoVerticalWorkshop@gmail.comIn which Vertical does your idea sit?Describe the data set you plan to use (recommended)

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