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

India3 013 Educación1 556...

📈 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 94 085 suscriptores, ocupando la posición 1 556 en la categoría Educación y el puesto 3 013 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 94 085 suscriptores.

Según los últimos datos del 25 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 981, y en las últimas 24 horas de 47, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.77%. 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 6 370 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 26 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

+4724 horas

+1877 días

+98130 días

6 370

Visitas de la publicación

~ 2 20324 horas

~ 2 91648 horas

6.77%

Tasa de compromiso

~ 1

Mensajes por día

Ads index

beta

Archivo de publicaciones

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08 - A3C Implementation - Part 04

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08 - A3C Implementation - Part 03

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08 - A3C Implementation - Part 02

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08 - A3C Implementation - Part 01

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07 - A3C Intuition

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06 - Deep Convolutional QLearning Implementation - Part 02

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06 - Deep Convolutional QLearning Implementation - Part 01

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05 - Deep Convolutional QLearning Intuition

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04 - Deep QLearning Implementation - Part 03

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04 - Deep QLearning Implementation - Part 02

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04 - Deep QLearning Implementation - Part 01

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03 - Deep QLearning Intuition

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02 - QLearning Intuition

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01 - Welcome to the course

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🔰 Artificial Intelligence A-Z 2025: Build 7 AI + LLM & ChatGPT 🌟 4.4 - 43970 votes 💰 Original Price: $89.99

📖 Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

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🔅 How To Start A Business Using Only AI Unlock Your Entrepreneurial Potential with AI!

Ever dreamed of starting a business but felt overwhelmed by the complexity? AI is here to revolutionize the way we work! In this video, we'll guide you through the exciting process of launching your own venture using artificial intelligence.

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120+ Tutorials more than 65+ hours – From beginner to advanced AI concepts. Hands-On Coding – Real projects with step-by-step guidance. Advanced Topics – RAG, agents, multi-agent systems, and more. Regular Updates – Stay ahead with fresh, evolving content. Subscribe Now – Master AI and build cutting-edge applications! 🚀 Don’t miss this chance to tap into the full potential of Generative AI. Subscribe Now Here and join a growing community of professionals and enthusiasts ready to shape the future of technology—starting with these tutorials. Whether you’re chasing a career in AI or just love exploring innovations, this playlist is the key to unlocking tomorrow’s possibilities today. PLAYLIST: Link GITHUB: Link

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Understanding Generative AI: It's Not AGI What is Generative AI? Generative AI refers to algorithms designed to generate new content — from text to images — based on patterns learned from a dataset. Technologies like GPT-4 and DALL-E are popular examples, extensively used for tasks ranging from writing articles to designing graphics. How Does Generative AI Work? 1 Training: Generative AI models are trained on large datasets, learning the structure, style, and intricacies of the data without human intervention. 2 Pattern Recognition: Through training, these models recognize patterns and correlations in the data, enabling them to predict and generate similar outputs. 3 Output Generation: When provided with a prompt, generative AI uses its training to produce content that aligns with what it has learned, attempting to mimic the input style or respond to the query coherently. Generative AI vs. AGI: • Specialization: Generative AI excels in specific tasks it's trained for but lacks the ability to perform beyond its training. • No Consciousness or Understanding: Unlike AGI, generative AI does not possess consciousness, understanding, or reasoning. It doesn't "think" like humans; it merely processes data based on pre-defined mathematical and probabilistic models. • Task-Specific: Generative AI operates within the confines of its programming and training, contrasting with AGI's potential to perform any intellectual task that a human can. Why It Matters: Understanding the capabilities and limitations of generative AI helps set realistic expectations for its applications. It's a powerful tool for specific tasks but is far from the sci-fi notion of an all-knowing, all-purpose AI. Generative AI is nowhere near AGI, it even works on different principles. It basically is an average function for non-numerical data. It can create an average text or an average picture from all the texts and pictures it has seen.

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Machine Learning Roadmap 👆

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Open Source LLMs Part-1