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AI and Machine Learning

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

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📈 Аналитический обзор Telegram-канала AI and Machine Learning

Канал AI and Machine Learning (@machine_learning_courses) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 94 077 подписчиков, занимая 1 547 место в категории Образование и 3 005 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 94 077 подписчиков.

Согласно последним данным от 26 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 965, а за последние 24 часа — 37, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.79%. В первые 24 часа после публикации контент обычно набирает 2.34% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 6 384 просмотров. В течение первых суток публикация набирает 2 203 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, llm, linkedin, linux, udemy.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Благодаря высокой частоте обновлений (последние данные получены 27 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

94 077
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+3724 часа
+2267 дней
+96530 день
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AI Journey 2024: Glimpse into AI-Driven Future The AI Journey International Conference on Artificial Intelligence and Machine Learning once again brought together developers, scientists, and AI enthusiasts. With 200 speakers from more than ten countries, including China, India, UAE, Indonesia, and Iran, the conference glimpsed an AI-enriched future. AI Journey was held in Moscow on December 11–13, with each day highlighting a different track: Society, Business and Science. On December 11, the focus was on Society, where BRICS experts, business and government representatives discussed the key role of technologies and AI as a means to address social issues. Attendees gained insights into various AI-related success stories and how AI supports the sustainable development of the planet. December 12 was dedicated to Business. This track featured leading experts such as Jaspreet Bindra, Dr. Aisha Bin Bishr, Janet Sawari, Karuna Gopal, and Hammam Riza, who elaborated on real-world implementation of AI in business, and how business and industry can benefit from it. December 13 was all about Science. Sessions featured international researchers sharing insights into the latest AI technology and the AI’s impact on research and science in general. Swagatam Das, Vladimir Spokoiny, Dedi Darwis, Gonzalo Ferrer, and other international experts delved into the latest scientific advances ranging from generative models and quantum technologies to cybersecurity, educational tools and medicine. Speakers from Sber, Moscow Institute of Physics and Technology, Innopolis University and others shared how AI is transforming learning, development, reading, and art in everyday life. The Science Day also immersed all AI newbies in the world of artificial intelligence with a special AIJ Junior track. The AI Journey hosted the awards ceremony for the finalists of the AI Challenge for young data scientists and the AIJ Contest for experienced AI professionals. Watch the recording. Be up to date with the top AI news!

📢 Announcement! 📢 🎉 The votes are in, and the winner is: Programming and Coding Tutorials Channel! 💻✨ 🚀 We’ll be creating this channel as soon as possible, so stay tuned and stay connected for updates! 🌟 Thank you all for your participation and support! 🙌

📱Machine Learning and Artificial intelligence 📱Introduction to AI-Native Vector Databases

🔅 Introduction to AI-Native Vector Databases 🌐 Author: Zain Hasan 🔰 Level: Intermediate ⏰ Duration: 2h 47m 🌀 Learn how da
🔅 Introduction to AI-Native Vector Databases 🌐 Author: Zain Hasan 🔰 Level: IntermediateDuration: 2h 47m
🌀 Learn how data and AI professionals can optimize data systems using AI.
📗 Topics: Vector Databases, Large Language Models, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses

#meme #dataset
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Repost from Linkedin Learning
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💰 Learn Python and Machine Learning
💰 Learn Python and Machine Learning

📦 Exercise Files

📱Machine Learning and Artificial intelligence 📱Machine Learning with Python: Foundations

🔅 Machine Learning with Python: Foundations 🌐 Author: Frederick Nwanganga 🔰 Level: Intermediate ⏰ Duration: 1h 54m 🌀 Lear
🔅 Machine Learning with Python: Foundations 🌐 Author: Frederick Nwanganga 🔰 Level: IntermediateDuration: 1h 54m
🌀 Learn the basics of machine learning and how you can create a machine learning model with Python.
📗 Topics: Machine Learning, Python 📤 Join Machine Learning and Artificial intelligence for more courses

🔸 The History of Artificial Intelligence... 🔹 Since 2018, artificial intelligence (AI) has become a hot topic in the media and popular culture. 🔹 It's also become a hot topic in the investment community, with start-ups that include AI in their business models attracting substantial funding. 🔹 While the buzz around AI might seem sudden to some, I find it interesting that the ideas behind modern AI have been around for over a century. 🔹 In fact, the idea of building intelligent machines has attracted humans for thousands of years. Source

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16 - Conclusion

15 - Maintenance, Issues, and Pull Requests

14 - Deploying Our Code