What we're about

"Learn by Practice". Join us to learn and practice AI, Machine learning, Deep learning and Data Science technology together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over D.C area 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.

**Learn applied AI tech online with 10000+ developers globally, via webinars, workshops, online courses, bootcamps: https://learn.xnextcon.com

** AI Developer Conference (Seattle, San Francisco, New York, London, Beijing):


Upcoming events (3)

Online AI tech talk: Recommender Systems and Deep Models

**this is online event, make sure to register here: RSVP: https://learn.xnextcon.com/event/eventdetails/W20071618 We are hosting a free virtual meetup. You can join from anywhere with zoom. In this talk, I will present an overview of recommender systems, including traditional content based and collaborative filtering. I will also touch upon some current trends and breakthroughs in this area. I will then provide an overview of how we develop recommendations here at Etsy. Specifically, I will provide an overview of our journey from linear ranking models to a non- linear deep neural network ranking model, the challenges we faced and the lessons we learnt. I also plan to present our work on a novel custom objective function to build a recommendation model that jointly optimizes both relevance and profit.

Free virtual workshop: Build Image Classifier in Tensorflow.js

**this is online event, make sure to register here: RSVP: https://learn.xnextcon.com/event/eventdetails/W20071709 We are hosting a free virtual workshop. You can join from anywhere with zoom. JavaScript is the most popular language in the world right now. It’s already used practically everywhere, and the good news is that you can also efficiently use JavaScript for deep learning and machine learning tasks. In this event, we will teach you how to get started with javascript for machine learning. Agenda: [9:30 - 10:15am] Tech talk: Machine Learning in JavaScript, by Jason Mayes Discover how to achieve super powers by embracing machine learning in JavaScript using TensorFlow.js in the browser and beyond in this speedy 30 minute talk. Get inspired through a whole bunch of creative prototypes that push the boundaries of what is possible in the modern web browser and then take your own first steps with machine learning in minutes. By the end of the talk everyone will understand how to recognize an object of their choice which could then be used in any creative way you can imagine. Familiarity with JavaScript is assumed, but no background in machine learning is required. Come take your first steps with TensorFlow.js! [10:15 - 11:30am] Workshop: Build real time image classifier with tensorflow.js. by Rising Odegua In this tutorial, I’m going to introduce you the efficient library for doing Deep Learning in Javascript (Tensorflow.js). You will be showed how to install it, via client-side and server-side, and how to build a gesture recognication application using Transfer learning.

Online workshop: Explanations and ML Pipelines - ML in Production

This is online tech event, you can join from anywhere with zoom, please register and attend here: https://learn.xnextcon.com/event/eventdetails/W20070910 We are hosting Free half-day online workshop on Explanations and ML Pipelines - ML in Production. Explanations and ML Pipelines - ML in Production Date: Jul. 23rd, 10am PT/1pm ET RSVP: https://learn.xnextcon.com/event/eventdetails/W20070910 In this workshop, we will cover 2 important aspects of applied machine learning systems - Explanations and Machine Learning Pipelines. We will start with a technical talk on Explainable AI and cover the key methods to generate explanations. After the technical talk, we will conduct a hands on workshop where we will cover how to set up ML data and re-training pipelines. We will cover both streaming and batch updates to data and how ML retraining pipelines can be set up to pick up the latest versions of a dataset. We will finish with generating explanations for models. Agenda (US pacific time, GMT-7): [10:00 - 10:10am] Welcome and workshop overview [10:10 - 10:45am] Explainable AI - overview and science behind the different approaches [10:45 - 11:45am] Hands on workshop [11:45 - 12:00pm] Q&A and wrap up

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