efpr @ATuringAI73
Agradecido con Dios !!! #BigData #MachineLearning #Python #R #Scala #Libros Bogotá, D.C., Colombia Joined December 2021-
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👀 ¿Buscas conjuntos de datos gratuitos para aprender/practicar/crear tu portfolio de #stats #datascience #MachineLearning? Comparto algunos interesantes:👇🧵 (Comparte y completa la lista)
🔥FREE Official Machine Learning Course from Microsoft - Comprehensive curriculum that will teach you Machine Learning from scratch with 12 weeks of hands-on projects, covering everything from regression to reinforcement learning. - 26 lessons, 52 quizzes, and real-world…
🔄💬 Text-to-SQL Tutorial Build a powerful natural language to SQL converter using LangChain, Ollama's DeepSeek model, and Streamlit. This tutorial shows you how to create an intuitive interface that automatically converts spoken queries into database-ready SQL. 🎥 Watch now:…
MCP is going crazy viral right now🤯 AI apps can now instantly connect to any tool or live data. USB-C moment for AI. 10 wild examples:
Exploratory Data Analysis with #Python Cookbook — Over EDA 50 recipes to analyze, visualize, and extract insights from structured & unstructured data: amzn.to/3S7Hjuk by @AyoOluleye v/ @PacktPublishing ———— #DataScience #Analytics #DataScientist #Coding #MachineLearning
7 Sci-Hub Alternative Websites Paper you need to ask for payment & can't use sci-hub? You don't have to pay to read academic papers. These are 7 sci-hub alternative websites to download papers for free. 👉 Unpaywall --> https://unpaywall. org/ Install this browser extension…
'Ballista' Botnet Exploits 2023 Vulnerability in TP-Link Routers: bit.ly/4hvDJES by Kristina Beek
La mayoría de la gente no se da cuenta de lo poderoso que es Grok 3. Lo uso como mi asistente personal. Aquí hay 10 prompts de Grok 3 para terminar horas de trabajo en segundos:
9) Experiment with Azure Machine Learning Learn how to find the best model with automated machine learning (AutoML) and by experimenting in notebooks. link: learn.microsoft.com/en-us/training…
8) Work with data in Azure Machine Learning Learn to access data in notebooks or scripts using direct methods, data stores, or data assets in Azure Machine Learning. link: learn.microsoft.com/en-us/training…
7) Explore and configure the Azure Machine Learning workspace Throughout this learning path, you explore and configure the Azure Machine Learning workspace. link: learn.microsoft.com/en-us/training…
6) Model data with Power BI Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need. link: learn.microsoft.com/en-us/training…
5) Prepare data for analysis with Power BI Learn to extract data from various sources, select storage modes and connectivity types, profile, clean, and load data into Power BI for seamless modeling. link: learn.microsoft.com/en-us/training…
Building a machine learning model isn’t just about finding the right algorithm—it’s about the right process. In Machine Learning in Production, Andrew Ng breaks down the iterative loop of model development: training, error analysis, refining hyperparameters, and improving data.…
A new video in my “Build A Large Language Model From Scratch” series is now live. In this tutorial, I cover text data handling, which is an important component for both understanding and training LLMs. In particular, the video walks through the following topics: - The process of…
Link to playlist: youtube.com/playlist?list=…
The Voice Stack is improving rapidly. Systems that interact with users via speaking and listening will drive many new applications. Over the past year, I’ve been working closely with DeepLearning.AI, AI Fund, and several collaborators on voice-based applications, and I…
🔥 EDA Automático con R y Python 🔥 👀 El EDA es clave al trabajar con datos, ayuda a comprender y preparar los datos antes de modelar. R y Python ofrecen herramientas automáticas, pero ¡usa siempre con responsabilidad y ética! 🚨 #DataScience #RStats #Python #stats #dataviz
A simple way to explain 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆. In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and react given past interactions or data not immediately available. It is useful…

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