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 Vancouver 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/announcement

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 live stream globally.

weekly online AI tech talks:

http://blog.xnextcon.com/?page_id=349

Upcoming events (4)

AI NEXTCon Seattle 2019

Meetup Location TBD

[PAID CONFERENCE] buy ticket: http://aisea19.xnextcon.com Early bird tickets (50% off) end on Dec. 7th (while supply last) ------------------------------- 4-days, 50+ tech lead speakers, 60+ tech talks, 6 workshop/code labs. presented by engineering teams from Microsoft Amazon Uber Airbnb Pinterest Google Facebook Twitter Linkedin, Nvidia, Intel, etc... NEXTCon is one of premium tech events specially geared to tech engineers, developers, data scientists, and machine learning engineers, has attracted more than 400 tech lead speakers, 5000+ tech engineers attending and more than 30 sponsors (like Microsoft, Amazon, Uber, Oracle, eBay, OfferUp, Google, IBM, AI2, Zillow, Alibaba, Huawei, DiDi, LinkedIn, and more). Speakers: *Michael Jordan, Distinguished professor from UC Berkeley *Deepak Agarwal, VP of AI from LinkedIn *Rajat Monga, Engineering Director from Google Brain *Li Deng, Chief AI Office, Citadel *Jeremy Hermann, Head of Machine learning from Uber *Peter Vajda, researcher manager from Facebook *Jonathan Huang, research scientist from Google Brain *Jennifer Prendki, VP of machine learning from Figure Eight and more .... Visit website for all 50+ speakers and schedules, Website: http://aisea19.xnextcon.com Date: *Main Conference: 1/23-24th, 2019 (Wed and Thu) *Hands-on Workshop: 1/25-26th, 2019 (Fri and Sat) Tracks: The conference features thoughtful tech leaders keynote in the morning and breakout tracks tech talks in the afternoon: *Computer Vision *Speech&NLP *Machine Learning *Deep Learning *Data Science & Analytics Discount: * Group discount (10% off for 5+ tickets, 15% off for 10+ tickets). you must purchase all tickets at one transaction. * "NEXTCon share program": help to share and promote NEXTCon, you can get more discount, free ticket and/or extra benefits, contact us for details. *Contact: [masked], [masked] AI tech learning community: AICamp, with the mission of “Make AI available to all developers”, is a global online AI learning platform for developers, engineers, data scientists to learn and practice AI technology. headquartered in Seattle and Silicon valley, we’re one of largest AI tech communities and have local learning groups in Seattle, SF/silicon valley, LA, San Diego, Phoenix, Salt Lake City, Denver, Austin, Chicago, Atlanta, NYC, Boston, Vancouver, Toronto, London, Berlin, Paris, China, India, etc.. with 500+ tech lead speakers and 50,000+ tech engineers to learn and practice together AI technology. we have hosted more than 300 tech meetups, bootcamps, workshops, training, and large tech conferences. Online AI learning platform: http://learn.xnextcon.com All NEXTCon around the world: http://www.xnextcon.com Twitter: @atiglobalorg

Online crash course - AutoML in Practice

Needs a location

This is online crash course to provide you a clear picture of technical details behind the state-of-the-art AutoML. *you can listen, watch, Q&A with speakers from anywhere around the world. * 32 topics in 8 hours (4 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/c19012910 Description: Machine learning has achieved considerable successes in recent years. However, this success greatly relies on human experts to perform many tasks, like Data cleaning, Features construaction, Optimize model hyperparameters, Analyze results, etc. This is why Automated Machine Learning(AutoML and AutoDL) are increasingly valued by academics and industry. The core of AI is the model design. AutoML reduces the barriers to AI application, enabling developers with no AI expertise to independently and easily develop and deploy AI models. This crash course provides you a clear picture of technical details behind the state-of-the-art AutoML, from feature engineering, feature reduction to deep learning model architecture design. This course will also discuss time series modeling. In the end, we will work together on a hands-on project using AutoML, therefore you not only learn the knowledge but apply it to solve real-world applications as well. COURSE SCHEDULE: Session 1: Jan. 29th Tue 10am-12pm PT Session 2: Jan. 31st Thu 10am-12pm PT Session 3: Feb. 5th Tue 10am-12pm PT Session 4: Feb. 7th Thu 10am-12pm PT Speaker/instructor: Yuan Shen, founder and CEO of OneClick.ai, Ning Jiang CTO of OneClick.ai For more online AI tech talks, courses, bootcamps : https://learn.xnextcon.com

Online crash course - The tutorial to build shared AI services

This is online crash course gets you up to build a shared AI service end to end by answering critical questions including: best deep learning technical approach for enterprise AI? key factors to consider an AI Engineering platforms? become a qualified AI Engineer? etc.. *you can listen, watch, Q&A with speakers from anywhere around the world. * 16 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/C19013010 Description: Only a small fraction of a real-world industry AI application is composed of the Machine learning code or algorithm, the required surrounding infrastructure for building a shared AI services is vast and complex. If you are sucking with those hidden truths of AI, this course is right for you. This course gets you up to build a shared AI service end to end by answering critical questions including: best deep learning technical approach for enterprise AI? key factors to consider an AI Engineering platforms? become a qualified AI Engineer? etc.. There are also 2 hands on code labs and one live demo, elaborate a benchmark between Spark Machine learning and Spark Deep learning with a user item propensity model example and teach you how to build an end to end AI Pipeline with Kafka, NiFi, Spark Streaming and Keras on Spark. COURSE SCHEDULE: * Session 1: Jan. 30th Wed 10am-12pm PT * Session 2: Feb. 1st Fri 10am-12pm PT Speaker/instructor:Jack Song,Mastercard For more online AI tech talks, courses, bootcamps : https://learn.xnextcon.com

Understanding Machine Learning Systems

Needs a location

This is to livestream the tech talks hosted in San Francisco. Join us online, you can listen, watch, Q&A with speakers from anywhere around the world. Sign up here: https://learn.xnextcon.com/event/eventdetails/W19013018 Description: Curious about Artificial Intelligence, Machine Learning, or Deep Learning? What's the difference between them? Want to understand how others are using ML creatively? If you are new to these areas and want to learn what is going on behind the scenes, but not from a mathematical / computer science background, then this talk is for you. Take this speedy 45-minute tour of the state of Machine Learning in 2018 by Jason Mayes, a Senior Creative Engineer at Google. This talk will cover a high-level overview of how deep neural networks work, their creative applications, along with some of the APIs and libraries that you can use from Google today to get started to do more advanced things. This fast-paced talk aims to educate, inspire, and enable you to rapidly prototype your next idea in this amazing industry. This talk is aimed at beginners (no coding or mathematical background required) or those who may be familiar but curious about its creative applications in industry. Speakers: Jason Meyers, Senior Engineer at Google For more online AI tech talks, courses, bootcamps : https://learn.xnextcon.com

Past events (35)

Photos (5)