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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
Mostrar más📈 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 94 048 suscriptores, ocupando la posición 1 561 en la categoría Educación y el puesto 3 020 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 048 suscriptores.
Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 986, y en las últimas 24 horas de 67, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.50%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.56% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 6 109 visualizaciones. En el primer día suele acumular 1 470 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 8.
- 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 25 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.
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Suscriptores
+6724 horas
+1517 días
+98630 días
Archivo de publicaciones
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Intent | AI-Enhanced Telegram
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🔗 Top 5 machine learning projects:
1. Predicting House Prices: Build a machine learning model that predicts house prices based on features such as location, size, number of bedrooms, etc. This project will help you understand regression techniques and feature engineering.
2. Image Classification: Create a model that can classify images into different categories such as cats vs. dogs, fruits, or handwritten digits. This project will introduce you to convolutional neural networks (CNNs) and image processing.
3. Sentiment Analysis: Develop a sentiment analysis model that can classify text data as positive, negative, or neutral. This project will help you learn natural language processing techniques and text classification algorithms.
4. Credit Card Fraud Detection: Build a model that can detect fraudulent credit card transactions based on transaction data. This project will help you understand anomaly detection techniques and imbalanced classification problems.
5. Recommendation System: Create a recommendation system that suggests products or movies to users based on their preferences and behavior. This project will introduce you to collaborative filtering and recommendation algorithms.
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The Singularity is near—our world will soon change forever! Are you ready? Read the Manifesto now and secure your place in the future: https://aism.faith Subscribe to the channel: https://t.me/aism
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🔗 Instill Core is a universal tool for working with unstructured data.
This open-source project offers a comprehensive solution for ETL processing, data preparation for AI, and deployment of LLM models. The platform combines document, image, and video processing into a single workflow, which is especially valuable for RAG scenarios and building AI pipelines.
Instill Core can be easily integrated into existing systems via the Python/TypeScript SDK or CLI. Local execution is possible via Docker, and ready-made recipes allow you to quickly deploy PDF parsing, web scraping, or image segmentation.
🔗 GitHub
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🌐 Web Development Resources – Learn & Build! 🔰
Welcome to the world of HTML, CSS, JavaScript, and modern frameworks.
We share practical tips, code snippets, tools, and real-world projects to help you grow as a developer — whether you're just starting out or looking to level up.📖 Frontend & Backend 📁 Projects & GitHub Gems ⚡️ Productivity Boosts 📚 Learning Resources 🔗 Join the community and build something awesome every day!
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📂 Full description
Many of the worlds most exciting and innovative new tech projects leverage the power of machine learning. But if you want to set yourself apart as a data scientist or machine learning engineer, you need to stay up to date with the current tools and best practices for creating effective, predictable models.In this course, instructor Helen Sun shows you how to get up and running with PyTorch, the open-source machine learning framework known for its simplicity, performance, and APIs. Explore the basic concepts of PyTorch, including tensors, operators, and conversion to and from NumPy, as well as how to utilize autograd, which tracks the history of every computation recorded by the framework. By the end of this course, youll also be equipped with a new set of skills to get the most out of Torchvision, Torchaudio, and Torchtext.
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🔅 Hands-On PyTorch Machine Learning
🌐 Author: Helen Sun
🔰 Level: Intermediate
⏰ Duration: 56m
🌀 Discover the fundamentals of creating machine learning models with PyTorch, the open-source machine learning framework.📗 Topics: PyTorch, Machine Learning 📤 Join Artificial intelligence for more courses
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🔅 PREMIUM CHANNELS
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217k| 🔰 Linkedin Learning Courses
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035k| 🔰 Zero to Mastery
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🔅 PREMIUM CHANNELS
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
128k| 🔰 Premium Udemy Courses
127k| 🔰 Web Development
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106k| 🔰 Learn Python
095k| 🔰 JavaScript Courses
077k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
059k| 🔰 Learn React and NextJs
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051k| 🔰 Linux and DevOps
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040k| 🔰 Business Training
040k| 🔰 ChatGPT Mastery
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🔗 5 Trending AI Jobs You Can’t Miss in 2025! 🤖
💻 Machine Learning Engineer
👉🏻 Average Salary: $114,000
👉🏻 What They Do: Design and implement ML algorithms while collaborating with data scientists and engineers. 📊
📊 Data Scientist
👉🏻 Average Salary: $120,000
👉🏻 What They Do: Analyze data, build predictive models, and drive data-backed decisions. 📈
🔬 AI Research Scientist
👉🏻 Average Salary: $126,000
👉🏻 What They Do: Explore the future of AI by testing algorithms and driving innovation. 🌟
🤝 AI Ethic
👉🏻 Average Salary: $135,000
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📈 AI Product Manager
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👉🏻 What They Do: Manage AI products for success, focusing on innovation and ethical impact. 🛠
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🤖 T22 - The best-in-class telegram group bot!
Stop juggling bots —T22 is MissRose x GroupHelp x Safeguard with a mini-app dashboard!
🔐 Verification & Captcha
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📈 Leveling System
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🐦 Twitter Raids
🧠 Mini-App Dashboard
📦 Miss Rose Config Importer
Discover T22 🆓
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🔅 PREMIUM CHANNELS
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217k| 🔰 Linkedin Learning Courses
128k| 🔰 Premium Udemy Courses
127k| 🔰 Web Development
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106k| 🔰 Learn Python
095k| 🔰 JavaScript Courses
076k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
059k| 🔰 Learn React and NextJs
057k| 🔰 Data Analysis and Databases
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050k| 🔰 Linux and DevOps
044k| 🔰 100 Days of Python
043k| 🔰 Best Telegram Channels
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040k| 🔰 Business Training
040k| 🔰 ChatGPT Mastery
036k| 🔰 Mobile Development
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035k| 🔰 Zero to Mastery
034k| 🔰 Udemy Learning
032k| 🔰 Codedamn Courses
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031k| 🔰 Linkedin Learning
031k| 🔰 React 101
029k| 🔰 Crypto Lessons
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026k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
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🔗 AI Agents for Beginners - A Course
This course has 10 lessons covering the fundamentals of building AI Agents.🔰Each lesson covers its own topic so start wherever you like! 🔰There is multi-language support for this course. 🔗 Links: https://github.com/microsoft/ai-agents-for-beginners
