What we're about

We’re excited to bring you the latest and practical technology on AI, Machine Learning, Deep Learning, Data Science and Big Data.

Our goal is to congregate with AI enthusiasts from all over Austin to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.

If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

Thank you

Kelvin, Community Manager

===Tentative Agenda =====

5:30pm - 5:50pm, Snack & social

5:50pm - 6:00pm, Intro/announcemen

6:00pm - 7:00pm, Tech Talk 1 and Q&A

7:00pm - 8:00pm, Tech Talk 2 and Q&A

8:00pm - 8:30pm, Lucky draw & Mingle

we have the same tech learning groups in Seattle, Silicon Valley, LA, NYC, Boston, Chicago, Denver, Austin, Toronto, China, Europe, Australia. and many of the tech talks livestream globally.

weekly online AI tech talks: http://blog.xnextcon.com/?page_id=349

Upcoming events (1)

Live AI workshop: overcome machine learning data bottleneck

This is online live workshop. You can watch, follow, Q&A with instructors from anywhere around the world. Miss the live session due to time zone or conflict? you can learn session replay at any time afterwards. Start date/time: 6/11, 9am PT (US pacific time). 3hours Enroll: https://learn.xnextcon.com/course/coursedetails/C19061109 Details: Machine learning is powerful, but it can be hard to reap its benefits without large amounts of labeled training data. Labeling data by hand can be time consuming, expensive, and impractical; and sometimes you don’t even have sufficient examples to label, especially of the rare events that are most important. This class will provide practical methods to overcome this data bottleneck. You will learn how to use heuristics to label data automatically, and you will learn how to generate synthetic training examples of rare events using generative adversarial networks (GANs). You will also learn other data augmentation approaches and methods for training models when the training data is imbalanced. The class will also cover how to use machine learning when you only have one or a few examples. More online AI tech talks, courses, bootcamps: https://learn.xnextcon.com

Past events (61)

Photos (24)