Please complete registration on the event website to receive join link: https://www.aicamp.ai/event/eventdetails/W2022051809
Description: apply() is a free virtual interactive event on ML and data engineering for applied machine learning.
It 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.
40+ deep dive live tech talks
4 Hands-on workshops/tutorials
Networking with speakers and fellow global attendees
In-person post-event socials in NYC and San Francisco
Food, swags and grand prizes
Chip Huyen from Stanford University
Matei Zaharia, Co-Founder from Databricks
Smitha Shyam, Director of Engineering from Uber
Shreya Shankar from UC Berkeley - RISELab
Mike Del Balso, Co-Founder from Tecton
Waleed Kadous, Head of Engineering from Anyscale
Manoj Agarwal, Architect Fellow from Walmart Global
and 30+ more.
More events up coming (free join from anywhere): May 11, Webinar: A Python Micro-framework for Data Engineering May 17, Workshop: Hands-on NLP workshop May 18, Conference: ML Data Engineering Conference May 19, Webinar: Deliver Self-Service BI at Enterprise-Scale May 24, Conference: Chief Data & Analytics Officers, Insurance (NYC) Jun 2, Webinar: Streaming data with Elasticsearch and Kafka Jun 7, Webinar: Zookeeper vs Raft: Stateful Distributed Coordination with High Availability
"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 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.