¡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 94 048 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.
94 048
Suscriptores
+6724 horas
+1517 días
+98630 días
Archivo de publicaciones
94 059
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94 059
Want to repeat trades of the legendary crypto whale smartestmoney.eth (aka smartestmoney.hl)?
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94 059
🔗 The Only roadmap you need to become an ML Engineer 🥳
Phase 1: Foundations (1-2 Months)
🔹 Math & Stats Basics – Linear Algebra, Probability, Statistics
🔹 Python Programming – NumPy, Pandas, Matplotlib, Scikit-Learn
🔹 Data Handling – Cleaning, Feature Engineering, Exploratory Data Analysis
Phase 2: Core Machine Learning (2-3 Months)
🔹 Supervised & Unsupervised Learning – Regression, Classification, Clustering
🔹 Model Evaluation – Cross-validation, Metrics (Accuracy, Precision, Recall, AUC-ROC)
🔹 Hyperparameter Tuning – Grid Search, Random Search, Bayesian Optimization
🔹 Basic ML Projects – Predict house prices, customer segmentation
Phase 3: Deep Learning & Advanced ML (2-3 Months)
🔹 Neural Networks – TensorFlow & PyTorch Basics
🔹 CNNs & Image Processing – Object Detection, Image Classification
🔹 NLP & Transformers – Sentiment Analysis, BERT, LLMs (GPT, Gemini)
🔹 Reinforcement Learning Basics – Q-learning, Policy Gradient
Phase 4: ML System Design & MLOps (2-3 Months)
🔹 ML in Production – Model Deployment (Flask, FastAPI, Docker)
🔹 MLOps – CI/CD, Model Monitoring, Model Versioning (MLflow, Kubeflow)
🔹 Cloud & Big Data – AWS/GCP/Azure, Spark, Kafka
🔹 End-to-End ML Projects – Fraud detection, Recommendation systems
Phase 5: Specialization & Job Readiness (Ongoing)
🔹 Specialize – Computer Vision, NLP, Generative AI, Edge AI
🔹 Interview Prep – Leetcode for ML, System Design, ML Case Studies
🔹 Portfolio Building – GitHub, Kaggle Competitions, Writing Blogs
🔹 Networking – Contribute to open-source, Attend ML meetups, LinkedIn presence
The data field is vast, offering endless opportunities so start preparing now.
94 059
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217k| 🔰 Linkedin Learning Courses
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94 059
🚀 Whisper AI is Now on Telegram!
Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions — all powered by GPT-4o and Claude Sonnet!
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• Supports 120+ languages
• 99% transcription accuracy
• Processes up to 6+ hours of audio seamlessly
The entire process — from downloading a video by link to generating summaries and tasks — is handled automatically.
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94 059
LLMs Intuition
01 - Introduction to LLMs
02 - Ingredients of an LLM
03 - Who invented LLMs
04 - How LLMs generate text
05 - Inside an LLM Under the Hood
06 - LLM Parameters
07 - LLM Context Window
08 - FineTuning LLMs
94 059
🔅 PREMIUM CHANNELS
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🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
217k| 🔰 Linkedin Learning Courses
126k| 🔰 Premium Udemy Courses
126k| 🔰 Web Development
-◦-◦--◦-
104k| 🔰 Learn Python
094k| 🔰 JavaScript Courses
075k| 🔰 Machine Learning
-◦-◦--◦-
065k| 🔰 DevOps Tutorials
059k| 🔰 Learn React and NextJs
055k| 🔰 Data Analysis and Databases
-◦-◦--◦-
049k| 🔰 Linux and DevOps
043k| 🔰 Best Telegram Channels
043k| 🔰 100 Days of Python
-◦-◦--◦-
040k| 🔰 Business Training
039k| 🔰 ChatGPT Mastery
035k| 🔰 Mobile Development
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034k| 🔰 Zero to Mastery
033k| 🔰 Udemy Learning
032k| 🔰 Codedamn Courses
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031k| 🔰 Linkedin Learning
030k| 🔰 React 101
029k| 🔰 Crypto Lessons
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023k| 🔰 Telegram's Shorts
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94 059
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94 059
Perplexity, your favorite AI search tool, has just joined Telegram!
Perplexity is an AI-powered search engine that uses leading AI models and live web search to answer your most complicated questions in real-time.
Simply DM @askplexbot or add it to your group chat to try it out.
t.me/askplexbot
