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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Análisis del canal de Telegram AI and Machine Learning

El canal AI and Machine Learning (@machine_learning_courses) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 93 845 suscriptores, ocupando la posición 1 577 en la categoría Educación y el puesto 3 133 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 93 845 suscriptores.

Según los últimos datos del 16 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 1 150, y en las últimas 24 horas de 20, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.72%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.61% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 9 118 visualizaciones. En el primer día suele acumular 2 449 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
  • Intereses temáticos: El contenido se centra en temas clave como learning, llm, linkedin, linux, udemy.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 17 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

93 845
Suscriptores
+2024 horas
+2747 días
+1 15030 días
Archivo de publicaciones
02 - How LLMs Work.zip321.38 MB

01 - Introduction.zip34.75 MB

🔅 AI for Beginners: Inside Large Language Models ⏲ 3 hours 📁 26 Lessons 📔 Understand how LLMs actually work under the hood
🔅 AI for Beginners: Inside Large Language Models3 hours 📁 26 Lessons
📔 Understand how LLMs actually work under the hood from scratch with practical and fun lessons. No prior knowledge required!
🎙 Taught by: Scott Kerr 🌟 ZTM Link 📤 Download All Courses

🔥 Project: fast-agent fast-agent is a modern framework for rapid development and testing of intelligent agents and workflows
🔥 Project: fast-agent fast-agent is a modern framework for rapid development and testing of intelligent agents and workflows supporting the MCP (Model-Context-Protocol) protocol. It provides a simple declarative syntax and powerful tools for building multi-agent systems with support for OpenAI, Anthropic, and other models. ▪️ Main features • Fast agent creation using @fast.agent decorators, minimizing code amount. • Workflow support: chains (chain), parallel calls (parallel), routers (router), orchestrators (orchestrator), evaluation and optimization schemes (evaluator_optimizer). • Multimodality: processing images, PDF files, and integration with external MCP resources. • Interactive debugging: configuration and diagnostics of agents before, during, and after workflow execution. • Flexible configuration via fastagent.config.yaml and fastagent.secrets.yaml. • Integration with LLMs: OpenAI (GPT-4 and others), Anthropic (Haiku, Sonnet, Opus), and other models through MCP servers. ▪️ Quick start 1️⃣ Install the uv package manager for Python. 2️⃣ Install fast-agent:

uv pip install fast-agent-mcp
3️⃣ Create a sample agent and configuration files:

uv run fast-agent setup
4️⃣ Run the agent:

uv run agent.py
5️⃣ To run workflow examples:

uv run fast-agent quickstart workflow
▪️ Documentation and examples • Official website: [fast-agent.ai](https://fast-agent.ai) • Documentation: [fast-agent-docs](https://github.com/evalstate/fast-agent-docs) • Examples: examples directory in the repository. ▪️ Community and development • The project is actively developed, ⭐️ 1.7k+ stars on GitHub. • Discussions: [Discussions](https://github.com/evalstate/fast-agent/discussions) • Latest releases: [Releases](https://github.com/evalstate/fast-agent/releases) ▪️ Video review [First Look at Fast-Agent (or Manus) – Coding an AI ...](https://www.youtube.com/watch?v=GaVQyYougPc&utm_source=chatgpt.com) 🔍 GitHub

💥 Xiaomi MiMo 🛠Xiaomi Corporation has introduced its first AI model, the compact language model MiMo , which has 7 billion
💥 Xiaomi MiMo 🛠Xiaomi Corporation has introduced its first AI model, the compact language model MiMo , which has 7 billion parameters . 🔰It demonstrates performance comparable to GPT o1-mini . 🔰The model code and weights are available on the Hugging Face platform . 🔍 🔰MiMo was trained from scratch in two stages: first for text analysis , and then for solving logic problems , programming and mathematics , using a dataset of 130 thousand tasks . 📊 ☝🏻 It is especially worth noting that due to a small number of parameters , MiMo can be run locally . 💻 🔗 Links: https://github.com/XiaomiMiMo/MiMo https://huggingface.co/XiaomiMiMo

📱Artificial intelligence 📱Enhancing Your Notebook Workflow with Jupyter AI

🔅 Enhancing Your Notebook Workflow with Jupyter AI 📝 Learn to leverage generative AI capabilities within JupyterLab to enha
🔅 Enhancing Your Notebook Workflow with Jupyter AI 📝 Learn to leverage generative AI capabilities within JupyterLab to enhance your data science and machine learning workflow. 🌐 Author: Wuraola Oyewusi 🔰 Level: Intermediate ⏰ Duration: 1h 10m 📋 Topics: Generative AI Tools, Jupyter, Artificial Intelligence 🔗 Join Artificial intelligence for more courses

🖥 7 AI Skills You Must Have in 2026
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🖥 7 AI Skills You Must Have in 2026

🖥 7 AI Skills You Must Have in 2026
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🖥 7 AI Skills You Must Have in 2026

💻 Scrap 🛠 Scraperr is a self-hosted application designed to accurately extract data from websites using XPath selectors. 🔰
💻 Scrap 🛠 Scraperr is a self-hosted application designed to accurately extract data from websites using XPath selectors. 🔰 It provides a convenient interface for managing scraping tasks, viewing and exporting data. 🔰 Key features include XPath-based extraction, queue management, scraping all pages of a single domain, adding custom headers, automatic media downloading, and visualizing results in tables. 🔰 The application is intended only for sites where scraping is allowed, and the developer is not responsible for possible abuse. 🔗Links: https://github.com/jaypyles/Scraperr

💡 Welcome to The Premium Vault – Your Gateway to Exclusive Content 🔐 What is The Premium Vault? We are a private Telegram c
💡 Welcome to The Premium Vault – Your Gateway to Exclusive Content 🔐 What is The Premium Vault?
We are a private Telegram channel dedicated to delivering high-quality, premium content that you simply cannot find through ordinary searches, free platforms, or standard telegram channels. Every piece of content inside this vault is carefully collected, researched, and created exclusively for our members.
📦 What’s Inside? 1⃣ Tutorials, and resources across various premium niches 🔢 Downloadable assets, templates and tools 🔢 Masterpiece Movies and TV Shows 🔢 Legendary Documentaries 🔢 Premium Applications, fully featured, paid-tier software and productivity tools 〰️〰️〰️〰️〰️〰️〰️〰️〰️ 🚫 What You Won't Find Here: No recycled freebies. No low-effort posts. No clickbait. Everything inside The Premium Vault is original, valuable, or rare — shared only with our inner circle of premium subscribers. 👌 Why Subscribe? Because the best content is never free. By joining The Premium Vault, you gain a competitive edge, save hours of searching, and access movies, documentaries, and applications others wish they knew existed. 🔒 Privacy & Security This is a private, invite-only channel. No bots, no data selling, no distractions. 🔗 https://t.me/ThePremiumVault/4

💳 Try RedotPay for online payments using cryptocurrencies. Register with the RedotPay app and receive a $5 welcome bonus upo
💳 Try RedotPay for online payments using cryptocurrencies.
Register with the RedotPay app and receive a $5 welcome bonus upon meeting the offer requirements. You can create a digital or physical card, depending on your needs.
Digital Card: Suitable for online payments. ✅ Physical Card: Suitable for deposits and withdrawals at supported ATMs. ✅ Supports uses such as online purchases, subscriptions, advertising, and some international payment services (subject to availability). 💰 Card creation fees: 🖤 Digital Card: $10 ❤️ Physical Card: $100 Important Note: The $5 bonus is for spending only and cannot be used to pay the card creation fee. 🔗 Registration link: https://url.hk/i/en/jzy14

֎ New: ChatGPT users can now build real apps directly from chat ChatGPT's app store just added AppDeploy, and it works with free accounts too. Describe what you want to build, ChatGPT writes the code, AppDeploy handles deployment automatically inside the same chat, and you get a working link back right away. AppDeploy includes the infrastructure needed for real apps: 🔐 User login and permissions 🗄 Storage, database, realtime sync and notifications 🤖 Built in AI capabilities ☁️ Full backend, background jobs and scheduled tasks 🧪 Automatic QA for every change and built in versioning 🌐 Custom domains, secrets management and more Free to use. No subscription or credit card required. 👉 Install AppDeploy in ChatGPT and launch your first app in a few minutes

📱Artificial intelligence 📱AI Pair Programming with GitHub Copilot X

🔅 AI Pair Programming with GitHub Copilot X 📝 Learn how to streamline software development workflows using AI pair programm
🔅 AI Pair Programming with GitHub Copilot X 📝 Learn how to streamline software development workflows using AI pair programming with GitHub Copilot X. 🌐 Author: Ronnie Sheer 🔰 Level: Advanced ⏰ Duration: 1h 23m 📋 Topics: Pair Programming, AI Software Development, GitHub Copilot 🔗 Join Artificial intelligence for more courses

📹 Lightricks Introduces LTXV-13B Video Generation Model for Home PCs 🛠 With 13 billion parameters, this model creates content 30 times faster than similar solutions on the market. 🔰Featuring innovative “multi-scale rendering” technology , the LTXV-13B runs smoothly on consumer devices including laptops with RTX 3090 , 4090, and 5090 graphics cards. 🔰The source code is available on Hugging Face and GitHub platforms , providing free access to startups. 🔗Links: https://github.com/Lightricks/LTX-Video https://huggingface.co/Lightricks/LTX-Video 🌐Site: https://ltxv.video/

👨‍💻Top neural network for creating tables 🛠GenSpark — a free neural network that makes tables much better than Excel with one query and without formulas. 🔰 The service generates tables of any size, adds text, graphics, links and pictures, calculates itself and even searches for data on the Internet. 🔗Links: https://www.genspark.ai/

What Are LLMs?
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What Are LLMs?

What Are LLMs? 📊 Large Language Models are AI systems trained on vast text data to understand and generate human-like langua
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What Are LLMs? 📊 Large Language Models are AI systems trained on vast text data to understand and generate human-like language. 🧬 Built on transformer architecture, they predict the next word using patterns in grammar, context, and knowledge. ⚡️ From writing emails to coding and reasoning, they power tools like chatbots and assistants. 🔥 Flaws like bias exist, but they’re reshaping how machines think. Language is the new code.

Advanced AI LLMs Explained with Math - Part 03.zip117.22 MB