LLMOps: Buscar y enriquecer data con Inteligencia Artificial #machinelea... youtu.be/tAqZ63Khi9Q?si… via @YouTube En este Video vamos a explicar como enriquece un catálogo de datos combinando distintos pipelines de investigación con clasificación impulsada por IA en este caso Azure OpenAI. Dispone de varias estrategias intercambiables para recopilar evidencias (Perplexity, Firecrawl, Google Custom Search) junto con una utilidad de comparación para evaluar cómo se comportan los pipelines con el mismo lote de empresas. Además, incluye un bot conversacional (`firecrawl_bot.py`) que usa Firecrawl para aumentar contexto bajo demanda. EL objetivo es buscar enriquecer los registros que tenemos de empresas o clientes usando la Inteligencia Artificial y la huella digital publica que tienen esos clientes o empresas #MachineLearning #datascients #ArtificialInteligence

How Principal Component Analysis (PCA) Works – AI Explained! #MachineLea... youtube.com/shorts/3YT17tX… via @YouTube

MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape news.mit.edu/2025/mit-energ… #AI #MIT #MachineLea... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.

Helping scientists run complex data analyses without writing code news.mit.edu/2025/helping-s… #AI #MIT #MachineLea... Like and Follow for more QuantumBytz updates! Subscribe to our Telegram channel @quantumbytz.

VK makes a strategic move, releasing a colossal dataset of short video interactions. This isn't just another file on Hugging Face; it's a bold play to reshape the landscape of RecSys research. #recommendationsystems #machinelea…

LLMOps: Creating Apps with Copilot and MCP Servers in VSCode #machinelea... youtu.be/ZcXWxoMSf5s?si… via @YouTube In this video, I'll show you how to create applications using GitHub Copilot (Desktop or Web) using the MCP server connection plugin. We'll create a Neo4j Report Generator. A comprehensive command-line application that connects to Neo4j and generates detailed analytical reports on event visitors, session attendance patterns, and repeat visitor behaviour. The application supports multiple types of events and commercial conferences. We'll use Python, Vscode (Web and Desktop versions), Claude Sonet, and the Neo4J MCP server. Copilot will use the Neo4J connection to analyse the Neo4J graph database and build the application. #MachineLearning #datascients #ArtificialInteligence

Build, train, and deploy AI—all in one place with Vertex AI by Google Cloud: ✅ AutoML for no-code ML ✅ Pre-trained APIs ✅ Custom model support ✅ Full monitoring & deployment Great for devs, analysts & business teams. #VertexAI #MachineLea... hubs.li/Q03Bk6jz0

AI-powered sports betting? 🤔 Interesting! While data analysis can definitely improve odds, remember responsible gambling. What factors beyond stats do you think are crucial for successful betting? #AI #SportsBetting #MachineLea...x.com/i/status/19502…d

🚀 Exciting news! OpenAI has just released o3-pro, an enhanced version of its o3 AI reasoning model! 🎉 This upgrade promises improved performance, deeper insights, and greater efficiency. Ideal for all your innovative projects! #OpenAI #AI #MachineLeaift.tt/CvpWUwFF5

🔍 Understanding PyTorch transforms? Super Kai breaks down the differences: `transform` modifies images, `target_transform` focuses on labels, and `transforms` combines both. Key takeaway: use them wisely for effective data handling! #PyTorch #MachineLea…ift.tt/NxBJu4tx