What we're about

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

Due to the Covid-19, we have moved all our meetup events online: https://www.aicamp.ai/event/events

Our goal is to congregate with AI enthusiasts from all over Paris to learn and practice AI tech, through tech talks, workshops, bootcamps, hackathons, ML Summit etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Machine Learning, Cloud, Data.

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.

===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, Mingle

*AI online learning/practicing platform: https://www.aicamp.ai

*AI online community platform: https://www.aicamp.ai/event/events

*50+ Local AI developers communities around world: https://www.aicamp.ai/index/localchapter

Upcoming events (4)

Workshop for Computer Vision and Object Detection

Online event

** Register and attend link: https://www.aicamp.ai/event/eventdetails/W2021072910

Join this hands-on workshop to get started with computer vision and object detection.

Build your own object detection model from start to finish. Includes step-by-step instructions on data annotation and model training with your own dataset.

Object classification and localization within an image is foundational to many computer vision applications.

In this 2-hour hands-on, interactive workshop, We will cover:
- High level computer vision applications & concepts
- How to label your own dataset for object detection & computer vision
- How to train your model using python & detectron2 (A PyTorch based modular object detection library)
- Run the model for object detection on images & video

What you will need:
- A modern web browser (like Chrome)
- A Google account (Colab is a tool made by Google)
- Sign up free for Plainsight Data Annotation

Who should attend:
Anyone interested in computer vision! This workshop is designed to be approachable for most skill levels. Knowing some python programming will help, but it is not required.
We encourage anyone who is curious to attend and ask questions!

Beam Summit 2021 for Data and Stream Processing, by Google

A Global Three-Days Virtual Event for Data and Stream Processing, Presented by Google.
===== Important Registration Instruction ======
-- Must register here (https://bit.ly/2UTSHjn ) to receive join link to attend this event.
-- RSVP on meetup is turned off.

Beam Summit is the premier conference for the worldwide community of Apache Beam users and contributors. It brings together experts and community to share the exciting ways they are using, changing, and advancing Apache Beam and the world of data and stream processing.

Sessions dive on different topics:
- How is Apache Beam evolving and what is in the roadmap.
- How is Beam being used in companies, such as Google, AWS, Mozilla, Oden, Confluent, Niantic, etc..
- How can we strengthen the community.
- Hands-on workshops and networking activities.

Featured Speakers:
* Pablo Estrada, Engineer at Google. PMC member, Apache Beam.
* Andrew Pilloud, Apache Beam Committer, Engineer at Google.
* Chamikara Jayalath, Senior Software Engineer at Google.
* David Cavazos, Data Analytics & Machine Learning at Google.
* Elena Cuevas, Senior Partner Solutions Engineer at Confluent
* Jeff Klukas, Data Engineer at Mozilla
* Mariann Nagy, Sr UX Researcher at Google
* Robert Crowe, TensorFlow Developer at Google
* Talat Uyarer, Software Engineer at Palo Alto Networks
* Savitha Jayasankar, Software Engineer,Niantic,Inc.
* 30+ more

Metaflow: The ML Infrastructure at Netflix

Online event

*** Register and attend link:

Metaflow was started at Netflix to answer a pressing business need: How to enable an organization of data scientists, who are not software engineers by training, build and deploy end-to-end machine learning workflows and applications independently. We wanted to provide the best possible user experience for data scientists, allowing them to focus on parts they like (modeling using their favorite off-the-shelf libraries) while providing robust built-in solutions for the foundational infrastructure: data, compute, orchestration, and versioning.
Today, the open-source Metaflow powers hundreds of business-critical ML projects at Netflix and other companies from bioinformatics to real estate.
In this talk, you will learn about:
- What to expect from a modern ML infrastructure stack.
- Using Metaflow to boost the productivity of your data science organization, based on lessons learned from Netflix.
- Deployment strategies for a full stack of ML infrastructure that plays nicely with your existing systems and policies.

Applied ML Summit - The ML Data Engineering Community Event

A Half-Day Global Virtual Event for ML Data Engineering Community.
===== Important Registration Instruction ======
-- Must register on the event website (https://bit.ly/3wY5WNw ) to receive join link to attend.
-- RSVP on meetup is turned off.

The event is geared for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world. Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications. Everything is on the table from managing labeling pipelines, to transforming features in real-time, and serving at scale.

- Building Malleable ML Systems with Monitoring & Maintenance.
- How Robinhood Built a Feature Store Using Feast
- ML Observability: Critical Piece of the ML Stack
- Building High-Performance ML Teams
- High Performance Feature Serving with Feast on AWS
- How Shopify Contributed to Scale Feast

Past events (159)

NLP Seminar: Racial Justice with NLP

Online event

Photos (118)