What we're about

Local community-ran meetup for developers interested in learning and practicing on AI, Machine Learning, Deep Learning, Data Science, and Cloud topics.

We will regularly invite tech leads from innovated companies, successful startups to share their practice experiences, best practices and deep dive on technology by tech talks, hands-on workshops, and bootcamps.

Due to the COVID-19, we host all events online, you can join from anywhere with zoom/youtube: https://www.aicamp.ai

Upcoming events (4)

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.
-- If you can't attend the live session, register to receive recordings.

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

Deep AutoViML For Tensorflow Models and MLOps Workflows

** Register and attend link:

deep_autoviml is a powerful new deep learning library with a very simple design goal: Make it as easy as possible for novices and experts alike to experiment with and build tensorflow.keras preprocessing pipelines and models in as few lines of code as possible.
deep_autoviml will enable data scientists, ML engineers and data engineers to fast prototype tensorflow models and data pipelines for MLOps workflows using the latest TF 2.4+ and keras preprocessing layers. You can now upload your saved model to any Cloud provider and make predictions out of the box since all the data preprocessing layers are attached to the model itself!

In this webinar, we will discuss the problems that deep_AutoViML can solve, its architecture design and demo how to build powerful TF.Keras models on structured data, NLP and Image data domains.

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.
-- If you can't attend the live session, register to receive recordings.

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

TransformX AI Conference 2021 with Andrew Ng, Feifei Li, 100+ speakers

Driving AI from Experimentation to Reality.
Join Scale AI for the two-day, virtual conference featuring 100+ speakers and 60+ sessions. We’re bringing together a community of leaders, visionaries, practitioners, and researchers across industries as we explore the shift from research to reality within AI and Machine Learning.

===== Important Registration Instruction ======
-- Must register on the event website: https://www.aicamp.ai/event/eventdetails/W2021100608
-- The event is hosted at US time zone, if you can't attend live sessions, still register to receive the recordings.

- Engage with the AI & ML community through 1-to-1 Matching, video chat, and messaging.
- Gain practical knowledge and insights from industry experts.
- Watch sessions in real-time or at your own pace with on-demand viewing.

Featured Speakers:
* Fei-Fei Li, Stanford University.
* Eric Schmidt, Former CEO, Google.
*Jeff Weiner, Executive Chairman, LinkedIn
* Jerry Yang, Co-Founder, Yahoo!.
* Brad Porter, Formerly, VP of Robotics and Distinguished Engineer, Amazon.
* Michael Kratsios, formerly 4th CTO of the United States.
* Dragomir Anguelov, Distinguished Scientist, Waymo.
* Selcuk Kopru, Head of ML and NLP, eBay.
* Chu-Cheng Hsieh, Chief Data Officer, Etsy.
* Hussein Mehanna, Head of AI, Cruise.
* Clement Delangue, Co-Founder & CEO , Hugging Face.
* 100+ more

Free RSVP: https://www.aicamp.ai/event/eventdetails/W2021100608

Past events (51)

Photos (49)