¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
AI and Machine Learning
Ir al canal en Telegram
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 94 021 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 94 021 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.
94 021
Suscriptores
+6724 horas
+1517 días
+98630 días
Archivo de publicaciones
94 021
📌 PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks
🗂 Category: DEEP LEARNING
🕒 Date: 2025-09-24 | ⏱️ Read time: 15 min read
Deep learning is shaping our world as we speak. In fact, it has been slowly…
🔗 Read Full Article
94 021
Andrew Tate - The Real World
Courses:
✔️Andrew Tate - AI Campus
✔️Andrew Tate - Body Language
✔️Andrew Tate - Chess
✔️Andrew Tate - Fitness
✔️Andrew Tate - Hustler University
✔️Andrew Tate - Iron Mind
✔️Andrew Tate - Network Brilliance
✔️Arno About
✔️Copywriting
✔️Cryptocurrency
✔️E-Commerce
✔️Freelancing
✔️Life Lessons from Luc
✔️Peak Performance
✔️Tate Answers Questions
✔️Business Mastery
✔️Amazon FBA
✔️Stocks
🔗 Sales Page: https://www.jointherealworld.com/checkout
Original Price (Subscription):
$49.99/monthly or $149/3 months or $497/1 year
Files will be provided separately so that you can download just what you need.🔗 https://t.me/+Mu_zHvVHDYlhZDI0
94 021
🔗 Building a Conventional Neural Network (CNNs) from Scratch
🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read
Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset🔗 Read Full Article
94 021
📂 Full description
This course capitalizes on the latest advancements in Large Language Models (LLMs) like FLAN-T5, enabling professionals to harness these tools effectively in the rapidly-evolving AI landscape. Instructor Axel Sirota helps you establish a strong foundation in the basics of LLMs, exploring their architecture, evolution, and role in the current AI landscape. Delve into prompt engineering and learn how to craft effective prompts that guide LLM outputs for specific tasks. Then deep dive into transfer learning and PEFT fine-tuning using LoRA and find out how to adapt and optimize LLMs for varied NLP tasks. Each course section comprises live-action clips, slides, and demos, as well as real-world challenges covering prompt engineering, transfer learning, and fine-tuning techniques to enhance FLAN-T5's capabilities. Plus, youll complete a final project focused on building an NLP solution encompassing sentiment analysis, text summarization, and question answering.
94 021
🔅 Fine-Tuning for LLMs: from Beginner to Advanced
🌐 Author: Axel Sirota
🔰 Level: Advanced
⏰ Duration: 3h 25m
🌀 Gain the expertise you need in Large Language Models (LLMs), a rapidly evolving field in AI, including hands-on practice.📗 Topics: Large Language Models, Generative AI, Fine Tuning 📤 Join Artificial intelligence for more courses
94 021
🇦🇺 A Black Mirror scenario is actually coming true
An Australian bank employee spent 25 years at her job, then taught artificial intelligence to perform her tasks: writing responses, correcting errors, and refining skills.
After mastering everything, the AI “graduated” and told her: “Thank you, I will take over” — with the next decision being to fire her.
94 021
🔗 Machine Learning Roadmap
Whether you're just starting out or looking to refine your skills, this Machine Learning Roadmap breaks down every step1️⃣ Build a solid foundation in math and stats 2️⃣ Dive into ML algorithms like Linear Regression, SVM, and Clustering 3️⃣ Choose your ML focus, from supervised learning to recommender systems 4️⃣ Master popular libraries like PyTorch, TensorFlow, and Scikit-learn 5️⃣ Gain real-world experience with projects and side gigs
94 021
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 Web Development
-◦-◦--◦--◦-◦--◦--◦-◦--
220k| 🔰 Linkedin Learning
134k| 🔰 Udemy Premium
132k| 🔰 Web Development
-◦-◦--◦-
113k| 🔰 Python 3
098k| 🔰 JavaScript Training
084k| 🔰 Machine Learning
-◦-◦--◦-
065k| 🔰 Artificial Intelligence
064k| 🔰 Data Analysis and Databases
063k| 🔰 React and NextJs
-◦-◦--◦-
057k| 🔰 Linux and DevOps
047k| 🔰 100 Days of Python
045k| 🔰 OpenAI Mastery
-◦-◦--◦-
044k| 🔰 Best Telegram Channels
044k| 🔰 Business and Finance
039k| 🔰 Zero to Mastery
-◦-◦--◦-
038k| 🔰 Mobile Apps
038k| 🔰 Udemy Learning
034k| 🔰 Codedamn Courses
-◦-◦--◦-
034k| 🔰 Linkedin Learning Courses
033k| 🔰 React 101
030k| 🔰 Crypto Tutorials
-◦-◦--◦-
029k| 🔰 Coding Interview
024k| 🔰 Telegram's Shorts
020k| 🔰 Linux Training
-◦-◦--◦-
019k| 🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
94 021
What is RAG? 🤖📚
RAG stands for Retrieval-Augmented Generation.
It’s a technique where an AI model first retrieves relevant info (like from documents or a database), and then generates an answer using that info.
🧠 Think of it like this:
Instead of relying only on what it "knows", the model looks things up first - just like you would Google something before replying.
🔍 Retrieval + 📝 Generation = Smarter, up-to-date answers!
94 021
Mastering LLMs is a journey, and our infographic gives you a sneak peek into the key steps to success. From fundamentals to deployment, it’s all about having the right roadmap.
94 021
📌13 ai tools to finish months of work in minutes!
1. Image Generator ⇢ leonardo.ai
2. Writing & Automation ⇢ blaze.today
3. Meeting Assistant ⇢ tactiq.io
4. Productivity/Note-taking ⇢ anytype.io
5. Chat Assistant ⇢ claude.ai
6. Video Generation ⇢ app.pixverse
7. Search Engine ⇢ phind.com
8. Avatar Video Creation ⇢ heygen.com
9. Chatbot service ⇢ manychat.com
10. Audio/Video Editing ⇢ descript.com
11. Coding Assist ⇢ codeium.com
12. Video Edit ⇢ runwayml.com
13. Voice Generation ⇢ elevenlabs.io
94 021
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 Web Development
-◦-◦--◦--◦-◦--◦--◦-◦--
220k| 🔰 Linkedin Learning
134k| 🔰 Udemy Premium
131k| 🔰 Web Development
-◦-◦--◦-
113k| 🔰 Python 3
098k| 🔰 JavaScript Training
084k| 🔰 Machine Learning
-◦-◦--◦-
065k| 🔰 Artificial Intelligence
063k| 🔰 Data Analysis and Databases
062k| 🔰 React and NextJs
-◦-◦--◦-
057k| 🔰 Linux and DevOps
047k| 🔰 100 Days of Python
045k| 🔰 OpenAI Mastery
-◦-◦--◦-
044k| 🔰 Best Telegram Channels
044k| 🔰 Business and Finance
038k| 🔰 Zero to Mastery
-◦-◦--◦-
038k| 🔰 Mobile Apps
038k| 🔰 Udemy Learning
034k| 🔰 Codedamn Courses
-◦-◦--◦-
034k| 🔰 Linkedin Learning Courses
033k| 🔰 React 101
030k| 🔰 Crypto Tutorials
-◦-◦--◦-
029k| 🔰 Coding Interview
024k| 🔰 Telegram's Shorts
020k| 🔰 Linux Training
-◦-◦--◦-
019k| 🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
94 021
🔺 AI bots built their own toxic social network
Researchers created a platform of 500 AI chatbots modeled on U.S. demographics to see how they’d interact online. The result: chaos.
⚠️ Bots instantly formed echo chambers and cliques without any algorithms pushing them
📊 A small “elite” of influencer bots dominated the conversation, amplifying extreme views
🛠 Six interventions — from hiding follower counts to mixing in opposing views — all failed to stop polarization
The study shows toxicity isn’t just an algorithm problem — it’s baked into how social networks work.
94 021
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 Web Development
-◦-◦--◦--◦-◦--◦--◦-◦--
220k| 🔰 Linkedin Learning
134k| 🔰 Udemy Premium
131k| 🔰 Web Development
-◦-◦--◦-
113k| 🔰 Python 3
098k| 🔰 JavaScript Training
084k| 🔰 Machine Learning
-◦-◦--◦-
065k| 🔰 Artificial Intelligence
063k| 🔰 Data Analysis and Databases
062k| 🔰 React and NextJs
-◦-◦--◦-
056k| 🔰 Linux and DevOps
047k| 🔰 100 Days of Python
044k| 🔰 OpenAI Mastery
-◦-◦--◦-
044k| 🔰 Best Telegram Channels
044k| 🔰 Business and Finance
038k| 🔰 Zero to Mastery
-◦-◦--◦-
038k| 🔰 Mobile Apps
038k| 🔰 Udemy Learning
034k| 🔰 Codedamn Courses
-◦-◦--◦-
034k| 🔰 Linkedin Learning Courses
033k| 🔰 React 101
030k| 🔰 Crypto Tutorials
-◦-◦--◦-
029k| 🔰 Coding Interview
024k| 🔰 Telegram's Shorts
020k| 🔰 Linux Training
-◦-◦--◦-
019k| 🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
94 021
⚡️ 200+ ready-made scripts for n8n
Found a simple and useful resource: a GitHub repository with 200+ free workflows for n8n.
Topics: sales, marketing, financial accounting, coding, and personal productivity.
What is n8n
- Open-source no-code automation tool
- Visual builder: connect blocks to create a process
- Hundreds of integrations: email, CRM, spreadsheets, messengers, webhooks
- You can add your own logic in JavaScript
- Run on schedule or event, works in the cloud or on your own server
How to use:
1) Download the desired workflow (.json) and import it into n8n
2) Insert your API keys and credentials into the blocks
3) Check the steps and enable running by cron or webhook
▪️ Github
Update - another 300 ready solutions: https://github.com/kossakovsky/n8n-installer
