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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 94 077 suscriptores, ocupando la posición 1 547 en la categoría Educación y el puesto 3 005 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 077 suscriptores.
Según los últimos datos del 26 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 965, y en las últimas 24 horas de 37, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.79%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.34% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 6 384 visualizaciones. En el primer día suele acumular 2 203 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
- 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 27 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.
94 077
Suscriptores
+3724 horas
+2267 días
+96530 días
Archivo de publicaciones
94 084
For those of you who are new to Neural Networks, let me try to give you a brief overview.
Neural networks are computational models inspired by the human brain's structure and function. They consist of interconnected layers of nodes (or neurons) that process data and learn patterns. Here's a brief overview:1. Structure: Neural networks have three main types of layers: - Input layer: Receives the initial data. - Hidden layers: Intermediate layers that process the input data through weighted connections. - Output layer: Produces the final output or prediction. 2. Neurons and Connections: Each neuron receives input from several other neurons, processes this input through a weighted sum, and applies an activation function to determine the output. This output is then passed to the neurons in the next layer. 3. Training: Neural networks learn by adjusting the weights of the connections between neurons using a process called backpropagation, which involves: - Forward pass: Calculating the output based on current weights. - Loss calculation: Comparing the output to the actual result using a loss function. - Backward pass: Adjusting the weights to minimize the loss using optimization algorithms like gradient descent. 4. Activation Functions: Functions like ReLU, Sigmoid, or Tanh are used to introduce non-linearity into the network, enabling it to learn complex patterns. 5. Applications: Neural networks are used in various fields, including image and speech recognition, natural language processing, and game playing, among others. Overall, neural networks are powerful tools for modeling and solving complex problems by learning from data. ENJOY LEARNING 👍👍
94 084
📱Machine Learning and Artificial intelligence
📱Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
94 084
🔅 Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
🌐 Author: Fikayo Adepoju
🔰 Level: Intermediate
⏰ Duration: 1h 9m
🌀 Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.📗 Topics: Machine Transcription, Artificial Intelligence, Node.js 📤 Join Machine Learning and Artificial intelligence for more courses
94 084
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94 084
The Open Doors Olympiad is your gateway to a captivating realm of knowledge and academic excellence!
Seize this remarkable opportunity to participate in the online tour of the Olympiad and secure a free education at one of Russia's most prestigious universities. You will be able to choose a programm and study Russian language for a year before entering. This is your chance to become a true specialist, equipped with skills and expertise to thrive in your field.
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94 084
🎨 Unleash your creativity with your sidekick Glovy AI Image Generator!
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✨ Use our Prompt and bring your favorite heroes to life
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94 084
Repost from Linkedin Learning
Welcome to our Development Pack! 🚀
If you're interested in web development, mobile development, machine learning, or even ChatGPT, you're in the right place.
You'll find channels for everything, starting with the famous Python 🐍 and JavaScript, and finishing with React, Next.js, AutoCAD, and SolidWorks. We also cover databases, Linux 🐧, ethical hacking, cybersecurity, finance and marketing, crypto tutorials, and many more. 🌟
📱 Development Pack
94 084
📱Machine Learning and Artificial intelligence
📱Machine Learning and AI Foundations: Causal Inference and Modeling
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🔅 Machine Learning and AI Foundations: Causal Inference and Modeling
🌐 Author: Keith McCormick
🔰 Level: Advanced
⏰ Duration: 2h 51m
🌀 Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.📗 Topics: Causal Inference, Machine Learning, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
94 084
Turn your voice into organized notes with EchoNote! 🎙️➡️📝
Got an idea? Just say it, and EchoNote transforms your thoughts into clear, structured notes in seconds.
✅ Plan tasks
📂 Organize projects
📱 Sync across all your devices
Just tap, talk, and let EchoNote handle the rest. You’ll love the simplicity! 😉📲
=> https://tglink.io/ef9c6d41b47a
94 084
🔅 AI Pair Programming with GitHub Copilot X
🌐 Author: Ronnie Sheer
🔰 Level: Advanced
⏰ Duration: 1h 23m
🌀 Learn how to streamline software development workflows using AI pair programming with GitHub Copilot X.📗 Topics: Pair Programming, GitHub Copilot, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
94 084
94 084
📱Machine Learning and Artificial intelligence
📱Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
94 084
🔅 Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
🌐 Author: Keith McCormick
🔰 Level: Intermediate
⏰ Duration: 2h 9m
🌀 Learn best practices for how to produce explainable AI and interpretable machine learning solutions.📗 Topics: Machine Learning, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
