Machine Learning

**Agenda :** * 4.45 to 5.00 PM ET: Food and Networking * 5.00 to 5.50 PM ET: "Data Science & Machine Learning with Microsoft Fabric" Hello Everyone! Please join us for our March 12th edition of the AI-ML MeetUp. **Please note this is an in-person meeting and light refreshments/food will be provided. You will need a government-issued ID to enter the facility.** **Title:** Data Science & Machine Learning with Microsoft Fabric **Description:** Explore Microsoft Fabric’s integrated Data Science experience across ideation, preprocessing, modeling, & deployment. Learn how to ingest and prepare data via OneLake and Lakehouse, leverage Notebooks, Data Wrangler, Spark, SynapseML, MLflow for experimentation, & operationalize predictions with batch scoring and Power BI direct integration. Also, learn to build generative AI Q&A systems using Fabric Data Agents. **Location:** The meeting will be hosted in the Applied Information Sciences ( AIS ) office in Reston, at 11440 Commerce Park Dr # 600 · Reston, VA. The location is also right off the Silver Line metro's Wiehle-Reston Metro Station. **Parking:** Parking is paid and can be validated at the AIS office reception. We will meet in Room Lake Anne. We hope to see you all there!!!!

SAM BASU IN-PERSON; NOTE: THIS IS THU, NOT TUE AS NORMAL Code is cheap, but software is expensive. Modern AI is a big opportunity to streamline and automate developer workflows for better productivity. There are some challenges though – AI Models often lack knowledge and AI Agents need expertise/guidance to reliably pull off complex workflows. Context is everything for modern AI and you can bring it. Model Context Protocol (MCP) aims to provide a standardized way to connect AI Agents to different data sources, tools and non-public information - the point is to provide deeply contextual information/expertise to AI. Skills are higher-level behaviors and instructional guardrails, that define how and when AI Agents should leverage tools to accomplish something meaningful. Subagents in AI are specialized, task-focused agents designed to handle specific, well-defined tasks within a larger AI system. In terms of the food industry: AI Agent = Chef 👨‍🍳👩‍🍳 MCP Tools = Raw Ingredients 🥔 🥩 Skills = Recipe Cards 📝 📇 SubAgents = Sous Chef 🔪 🍳 Loops = Door Watcher 💂👀 Developer = Restaurant Owner 👑. So, what should developers use to bring context and guardrails to make AI work their way? Well, it depends and sometimes, the answer might be whatever combination makes developers most productive. With official SDKs and well-thought-out guidance, it is a breeze to work with MCPs, Skills or SubAgents. Developers could bring their own data, APIs, services, coding patterns and structured guidance to make AI Agents work their way. And AI Agentic workflows work the same way in IDEs or Terminals, paving the way autonomous ways of getting work done with AI. With contextual expertise to light up unique coding workflows, AI Agents can make developers ultra productive – upwards and onwards.

LIFT (Learn, Inspire, Fuel, Transform) Session Ever wanted to start lifting weights but weren't sure where to begin? LIFT is a welcoming, beginner-friendly group designed to help women build strength, confidence, and consistency together. Join this session for a structured strength workout and the accountability that comes from showing up alongside other women towards similar goals. **Agenda** * Brief welcome and introductions * Review of the day's workout plan * Guided group strength workout using free weights and machines * Cool down and check-in **What to Bring & Wear** * Water bottle * Comfortable workout clothes * Athletic shoes **Location Details** Meet by the cubbies toward the back of the fitness room inside NZone. A $20 Znone membership is required to access the facility.

**Agenda :** * 4.45 to 5.00 PM ET: Food and Networking * 5.00 to 5.50 PM ET: "Data Science & Machine Learning with Microsoft Fabric" Hello Everyone! Please join us for our March 12th edition of the AI-ML MeetUp. **Please note this is an in-person meeting and light refreshments/food will be provided. You will need a government-issued ID to enter the facility.** **Title:** Data Science & Machine Learning with Microsoft Fabric **Description:** Explore Microsoft Fabric’s integrated Data Science experience across ideation, preprocessing, modeling, & deployment. Learn how to ingest and prepare data via OneLake and Lakehouse, leverage Notebooks, Data Wrangler, Spark, SynapseML, MLflow for experimentation, & operationalize predictions with batch scoring and Power BI direct integration. Also, learn to build generative AI Q&A systems using Fabric Data Agents. **Location:** The meeting will be hosted in the Applied Information Sciences ( AIS ) office in Reston, at 11440 Commerce Park Dr # 600 · Reston, VA. The location is also right off the Silver Line metro's Wiehle-Reston Metro Station. **Parking:** Parking is paid and can be validated at the AIS office reception. We will meet in Room Lake Anne. We hope to see you all there!!!!

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 5 on "Exploring ONNX" and Chapter 6, on "Quantizing for your Production Environment". 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.

**Agenda:** * 6-6:30 pm: Networking and food/drinks * 6:30-7:15 pm: Announcements and presentation * 7:15 pm-7:30 pm: Q&A and close-out **Hacking the Stack: Using OpenSearch Dashboards as an Application Framework** Most developers treat OpenSearch Dashboards (OSD) strictly as a visualization layer—a place for charts and graphs. They are missing the bigger picture. OSD is a powerful, untapped environment for full-stack application development. In this session, we peel back the architecture of **an enterprise-grade risk, compliance, and security platform built entirely *on top of* OSD**. We moved beyond simple plugins and pushed OSD to its limits to create a seamless, interactive application experience. Join us for a deep dive into the engineering reality of the OpenSearch stack, including: * **The Analysis:** Why the OpenSearch stack beat out the competition. * **The Build,** **Beyond Visualization:** How to implement custom React components to build complex workflows and interactive UIs within OSD. * **The Integrations:** Integrating Wazuh for agent management and ingesting data at scale. * **The “Gotchas”:** Honest, real-world lessons on data handling, state management, and what to look out for. **If you are ready to push your plugins from “reporting tools” to “robust software,” do not miss this session!**

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 :)