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 Denver 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)

Online Workshop - Dimension reduction: From modeling to visualization

This is online workshop gets you to understand the widely used dimension reduction methods such as PCA, ICA, t-SNE, and UMAP. You will learn how to explore them to reduce dimensionality of your data in Python, how to use methods like PCA in supervised learning schemes and how to improve your reports using visualization techniques like t- SNE. This will be a hands on workshop in which we will work on multiple datasets and will learn how to implement each one of the aforementioned methods on them in Python. *you can listen, watch, Q&A with speakers from anywhere around the world. * 8 topics in 4 hours (2 sessions and 2 hours/session). *Real-time interactions with instructors, Watch recorded videos any time after. *code labs, projects, and real-time discussion/Q&A on Slack group Sign up: https://learn.xnextcon.com/course/coursedetails/C19030510 Description: As developers, engineers, scientists or students if we analyze data or want to learn how to analyze data, we need to have the required skills. We need to learn those skills helping us to improve our status in our current job, get a better job and be successful in next interviews we will have. Dimension reduction is among the subjects necessary to know if you want to be successful or become successful as developers, scientists or engineers. In this workshop, you will learn about widely used dimension reduction methods such as PCA, ICA, t-SNE, and UMAP. You will learn how to explore them to reduce dimensionality of your data in Python, how to use methods like PCA in supervised learning schemes and how to improve your reports using visualization techniques like t- SNE. This will be a hands on workshop in which we will work on multiple datasets and will learn how to implement each one of the aforementioned methods on them in Python COURSE SCHEDULE: *Session 1: Mar. 5th Tue 10am-12pm PST *Session 2: Mar. 7th Thu 10am-12pm PST Speaker/instructor:Ali Madani, Ph.D. at the University of Toronto For more online AI tech talks, courses, bootcamps :https://learn.xnextcon.com

Past events (42)

Photos (3)