Data Mining

Important: Register on [AICamp website](https://www.aicamp.ai/event/eventdetails/W2026043014) is required for admission. **Description:** Join us for a community-led developer event focused on AI-assisted coding with GitHub Copilot. This event brings together developers to explore practical workflows, real-world use cases, and hands-on experiences using GitHub Copilot. Whether you are new to GitHub Copilot or already using it, this event will help you better understand how to apply AI-assisted coding techniques in everyday development. **Speakers/Topics:** \- Reynald Adolphe\, Microsoft\. Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: [Submit Topics](https://forms.gle/JkMt91CZRtoJBSFUA) **Sponsors:** We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 5,000+ AI developers in D.C and 500K+ worldwide.

We invite you to an in-person session in Seattle exploring the real impact of AI on knowledge-driven industries — from shifting economics and the disruption of traditional SaaS and consulting models to where organizations can still build lasting competitive advantage. As AI platforms like ChatGPT, Claude, and Gemini continue to redefine how work gets done, organizations face a critical question: how can they adapt, remain competitive, and create lasting value? We’ll discuss practical strategies for integrating AI while preserving human expertise, along with actionable approaches to upskilling teams for an AI-driven workplace. Drawing on real-world experience from training thousands of professionals and deploying AI solutions, this session will provide clear, applicable insights for today’s evolving landscape. Following a short presentation, the session will open into an interactive discussion where attendees can share perspectives and explore key questions around the evolving role of humans, organizational adaptation, and staying competitive in an AI-first world. **Who should attend:** • Executives and managers in SaaS, consulting, and knowledge-driven organizations • Professionals exploring AI upskilling and workforce transformation • Anyone interested in the future of AI and knowledge work 📍 **Location:** Data Science Dojo, 5010 148th Ave NE, Suite 200A, Redmond, WA, United States 🔗 **Google Maps:** [https://lnkd.in/d8WA-yNc](https://lnkd.in/d8WA-yNc) **💻 Online Access:** A livestream will be available for those unable to attend in person; however, the full interactive experience is reserved for in-person participants.

Let’s reboot the DC Postgres Meetup series! This inaugural meeting will be hosted by John Porvaznik and Eddie Pickle and all are welcome. We’re actively looking for speakers, co-hosts, event spaces and other folks that want to help bring this group back to life. If you can’t make it but want to be involved in the future, please let us know. John Porvaznik will present a talk on Postgres fundamentals including shared buffers, memory usage, pages, and more. John is a long time PostgreSQL Engineer and DBA in the government space with focus on ETL / Data Ingestion, PostGIS and spatial data sets, query optimizations, Database Design // DDL, benchmarking and specifications, data health, and system healths and monitoring. This meetup will be hosted near the Snowflake office in Tysons (event space sponsored by Snowflake). We’ll have pizza and drinks for folks. 6:00 arrival and networking, 6:30 talk followed by discussion, 7:45 close. The event is at 1750 Tysons Boulevard, McClean, VA, 22102, in the 1750 Tysons Conference Center. This is Metro Accessible from the Silver Line to Tyson's Corner station. Parking at the mall next door is free or the event building has paid parking.

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

Most AI meetups end up as just networking. **We’re different.** At **AI Tool Explorers Night \| Connect & Make New Friends**, you’ll: ✨ Walk away with a *real learning nugget* (a tool, workflow, or strategy you can use immediately) ✨ Connect with people who share your curiosity for AI, productivity, and automation ✨ Enjoy a fun, casual setting where new ideas and friendships spark naturally 👉 **Our promise:** every session delivers structure, substance, and takeaways you can use when you get home. ### 📅 Event Flow * **6:00–6:15 PM** → Arrivals & intros * **6:15–6:45 PM** → AI demo / learning nugget * **6:45–7:00 PM** → Q&A and group discussion * **7:00–8:00 PM** → Networking & contact sharing ⚡ Please hold networking until after the presentation so we can all learn together. Plenty of time at the end to connect and exchange cards! **Let's explore AI Tools that actually *work* in our day-to-day life!** *** #ChatGPT #Claude #Grok #Gemini #Perplexity #DeepSeek #NotebookLM #Cursor #GitHubCopilot #Replit #Windsurf #v0dev #Lovable #Zapier #Makecom #n8n #Descript #OpusClip #Synthesia #Runway #Sora #Kling #Veo #PikaLabs #LTXStudio #AdobeFirefly #Vidu #Hailuo #LumaDreamMachine #Wisecut #Elaiio #Capsule #Filmora #Gling #Magisto #AdobePremierePro #ElevenLabs #Suno #Udio #Soundraw #Riffusion #Mubert #BeatovenAI #AIVA #Loudly #SplashPro #Soundful #MagentaStudio #WavTool #MakeBestMusic #BandLabSongStarter #TadAI #EcrettMusic #Midjourney #DALLE3 #CanvaMagicStudio #NotionAI #Gamma #Fathom #FirefliesAI #MLX

Join us for another session of our study group as we continue our coverage of the book Domain-Specific Small Language Models. In this session, we will attempt to cover Chapters 9 on "Advanced Quantization Techniques" and Chapter 10, on "Profiling Insights" to understand resource utilization by an SLM. This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to continue to learn together. If you plan to work with the code on your own laptop during the session, try and download the code from here https://github.com/virtualramblas/Domain-Specific-Small-Language-Models ahead of time.