What we’re about
This is a meetup for Seattle / Eastside users of Spark (www.spark-project.org), the high-speed Scala-based cluster programming framework. We'll be rotating among locations in Seattle and Bellevue.
We'll also discuss other Spark and AI projects including spark-packages, MLflow, TensorFlow, Keras, etc.
We will include introductions to the various Spark+AI features, case studies from current users, best practices for deployment and tuning, and future development plans.
Follow us on Twitter at @SparkAISeattle
Upcoming events (2)
See all- Welcome 2024! - Meetup party 🎉Databricks - Bellevue Office, Bellevue, WA
An event for our local tech community, with a strong focus on knowledge exchange, networking, and learning 🌟 Get together with Seattle Spark + AI, PyLadies Seattle, GDG Bellevue, PyData Seattle and Women Techmakers Seattle meetups
Event program:
6:00 - 6:30 - Candy 🍭🍬 eat, beverages, swag and network - Donated by Databricks and Delta Lake 🍿🍔
6:30 - 6:40 - Announcements
6:40 - 7:10 - Speaker 1
7:10 - 7:40 - Speaker 2
7:40 - 8:20 - Networking + Cake bar! 🍭🍰🧁We recommend to arrive early as seats are limited and are first come first serve 🌷🌸🌼
- Playing with Data Mini-Conference 🚀📈📊💕Databricks - Bellevue Office, Bellevue, WA
An event for our local tech community, with a strong focus on knowledge exchange, networking, and learning 🌟 Get together with Seattle Spark + AI, PyLadies Seattle, GDG Bellevue, PyData Seattle and Women Techmakers Seattle meetups
Event program:
4:00 - 4:30 - Candy 🍭🍬 eat, beverages, swag and network - Donated by Databricks and Delta Lake 🍿🍔
4:30 - 5:30 - Workshop 1
5:30 - 5:40 - Workshop 2
6:40 - 7:10 - Speaker 1
7:10 - 7:40 - Speaker 2
7:40 - 8:40 - Happy hour party 🥳🎉 Networking + Cake bar! 🍭🍰🧁We recommend to arrive early as seats are limited and are first come first serve 🌷🌸🌼
🌟 Topics
- Machine Learning
- Artificial Intelligence
- Predictive Modeling
- Data Mining
- Natural Language Processing
brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization.
