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AI and Machine Learning

AI and Machine Learning

Kanalga Telegram’da o‘tish

Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Ko'proq ko'rsatish

📈 Telegram kanali AI and Machine Learning analitikasi

AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 077 obunachidan iborat bo'lib, Taʼlim toifasida 1 547-o'rinni va Hindiston mintaqasida 3 005-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 94 077 obunachiga ega bo‘ldi.

26 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 965 ga, so‘nggi 24 soatda esa 37 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.79% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.34% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 6 384 marta ko‘riladi; birinchi sutkada odatda 2 203 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, llm, linkedin, linux, udemy kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

94 077
Obunachilar
+3724 soatlar
+2267 kunlar
+96530 kunlar
Postlar arxiv
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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
#meme #dataset

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