Artificial Intelligence
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🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data
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Red:📈 Análisis del canal de Telegram Artificial Intelligence
El canal Artificial Intelligence (@machinelearning_deeplearning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 56 585 suscriptores, ocupando la posición 3 068 en la categoría Educación y el puesto 5 980 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 56 585 suscriptores.
Según los últimos datos del 29 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 460, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.83%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.44% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 166 visualizaciones. En el primer día suele acumular 815 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 12.
- Intereses temáticos: El contenido se centra en temas clave como learning, classification, layer, pattern, chatbot.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔰 Machine Learning & Artificial Intelligence Free Resources
🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more
For Promotions: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 octubre, 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.
56 585
Suscriptores
+424 horas
+747 días
+46030 días
Archivo de publicaciones
56 585
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56 585
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56 585
15+ Must Watch Movies for Programmers🧑💻🤖
1. The Matrix
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4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
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10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
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15. Who Am I
56 585
𝟱 𝗙𝗥𝗘𝗘 𝗧𝗲𝗰𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗙𝗿𝗼𝗺 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗔𝗪𝗦, 𝗜𝗕𝗠, 𝗖𝗶𝘀𝗰𝗼, 𝗮𝗻𝗱 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱. 😍
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56 585
10 Real-World AI Use Cases You Should Know
✅ Healthcare Diagnosis – AI detects diseases like cancer from X-rays & MRIs faster than humans
✅ Fraud Detection in Finance – Banks use ML to catch unusual transactions in real-time
✅ AI in Education – Personalized learning paths, grading automation, and virtual tutors
✅ Self-Driving Cars – AI helps vehicles understand surroundings and make split-second decisions
✅ Customer Service Chatbots – 24/7 support powered by natural language understanding
✅ Recommendation Systems – Netflix, Amazon, Spotify know your taste better than you
✅ Agriculture AI – Drones and sensors optimize irrigation, crop monitoring, and yield prediction
✅ Cybersecurity – AI detects threats and anomalies before they escalate
✅ Retail & Inventory – AI forecasts demand and automates stock management
✅ Voice Assistants – Siri, Alexa, and Google Assistant getting smarter every day
56 585
10 AI Tools Every Developer Should Try
✅ GitHub Copilot – Your AI coding buddy that completes code in real-time
✅ Codeium – A free AI autocomplete alternative to Copilot
✅ Amazon CodeWhisperer – AI suggestions optimized for AWS developers
✅ Cursor – An AI-first code editor built on VS Code
✅ Polycoder – Open-source AI that understands multiple programming languages
✅ Blackbox AI – Lets you copy code from videos, images & PDFs
✅ Mutable AI – Write, refactor, and document code with AI
✅ AskCodi – Natural language to code generation
✅ Kite – Autocompletion powered by machine learning
✅ Replit Ghostwriter – AI assistant inside your online IDE
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56 585
𝗟𝗲𝗮𝗿𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 & 𝗘𝗹𝗲𝘃𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗚𝗮𝗺𝗲!😍
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56 585
Build your career in Data & AI!
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56 585
10 New & Trending AI Concepts You Should Know in 2025
✅ Retrieval-Augmented Generation (RAG) – Combines search with generative AI for smarter answers
✅ Multi-Modal Models – AI that understands text, image, audio, and video (like GPT-4V, Gemini)
✅ Agents & AutoGPT – AI that can plan, execute, and make decisions with minimal input
✅ Synthetic Data Generation – Creating fake yet realistic data to train AI models
✅ Federated Learning – Train models without moving your data (privacy-first AI)
✅ Prompt Engineering – Crafting prompts to get the best out of LLMs
✅ Fine-Tuning & LoRA – Customize big models for specific tasks with minimal resources
✅ AI Safety & Alignment – Making sure AI systems behave ethically and predictably
✅ TinyML – Running ML models on edge devices with very low power (IoT focus)
✅ Open-Source LLMs – Rise of models like Mistral, LLaMA, Mixtral challenging closed-source giants
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56 585
𝟰 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
These free, Microsoft-backed courses are a game-changer!
With these resources, you’ll gain the skills and confidence needed to shine in the data analytics world—all without spending a penny.
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56 585
10 Python Libraries Every AI Developer Should Know
✅ NumPy – Foundation for numerical computing in Python
✅ Pandas – Data manipulation and analysis made easy
✅ Scikit-learn – Powerful library for classical ML models
✅ TensorFlow – End-to-end open-source ML platform by Google
✅ PyTorch – Deep learning framework loved by researchers
✅ Matplotlib – Create stunning data visualizations
✅ Seaborn – High-level interface for drawing statistical plots
✅ NLTK – Toolkit for working with human language data (NLP)
✅ OpenCV – Real-time computer vision made simple
✅ Hugging Face Transformers – Pretrained models for NLP, CV, and more
React with ❤️ for more
56 585
Python For Everything!🐍
Python, the versatile language, can be combined with various libraries to build amazing things:🚀
1. Python + Pandas = Data Manipulation
2. Python + Scikit-Learn = Machine Learning
3. Python + TensorFlow = Deep Learning
4. Python + Matplotlib = Data Visualization
5. Python + Seaborn = Advanced Visualization
6. Python + Flask = Web Development
7. Python + Pygame = Game Development
8. Python + Kivy = Mobile App Development
#Python
56 585
𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
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+1
Stanford’s Machine Learning - by Andrew Ng
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras ✅
56 585
Repost from Data Science & Machine Learning
Hey folks! Just curious — where are you in your Data & AI journey?
