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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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📈 Telegram kanali AI and Machine Learning analitikasi

AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 021 obunachidan iborat bo'lib, Taʼlim toifasida 1 561-o'rinni va Hindiston mintaqasida 3 020-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 94 021 obunachiga ega bo‘ldi.

24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 986 ga, so‘nggi 24 soatda esa 67 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.50% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.56% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 6 109 marta ko‘riladi; birinchi sutkada odatda 1 470 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 8 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 25 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.

94 021
Obunachilar
+6724 soatlar
+1517 kunlar
+98630 kunlar
Postlar arxiv
📝 New research on text creativity Scientists have shown: texts created by humans are semantically newer than those generated
+1
📝 New research on text creativity Scientists have shown: texts created by humans are semantically newer than those generated by AI. 🔎 How it was measured They introduced the metric "semantic novelty" — the cosine distance between adjacent sentences. 🧠 Main findings Human texts consistently show higher novelty across different embedding models (RoBERTa, DistilBERT, MPNet, MiniLM). In the "human-AI storytelling" dataset, the human contribution was semantically more diverse. ✨ But there is a nuance What we call AI "hallucinations" can be useful in collaborative storytelling. They add unexpected twists and help maintain interest in the story. 👉 Conclusion: humans are more innovative, AI is more predictable, but together they enhance each other. 🔗 Details

TOP ML Interview Problems
+5
TOP ML Interview Problems

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📱Artificial intelligence 📱Complete Guide to Evaluating Large Language Models (LLMs)

📂 Full description In this comprehensive course, AI and LLM expert Sinan Ozdemir shares with you the knowledge and skills to assess LLM performance effectively. Get a detailed introduction to the process of evaluating LLMs, Multimodal AI, and AI-powered applications like agents and RAG. Learn how to thoroughly assess and evaluate these powerful and often unwieldy AI tools so you can make sure they meet your real-world needs. This course prepares you to evaluate and optimize LLMs so you can produce cutting edge AI applications. This course was created by Pearson. We are pleased to host this training in our library.

🔅 Complete Guide to Evaluating Large Language Models (LLMs) 🌐 Author: Sinan Ozdemir 🔰 Level: Intermediate ⏰ Duration: 7h 5
🔅 Complete Guide to Evaluating Large Language Models (LLMs) 🌐 Author: Sinan Ozdemir 🔰 Level: IntermediateDuration: 7h 56m
🌀 Equip yourself with the knowledge and skills to assess LLM performance effectively.
📗 Topics: Retrieval-Augmented Generation, Large Language Models, Artificial Intelligence 📤 Join Artificial intelligence for more courses

🎓 Post-Degree Generation: AI is Changing the Hiring Game! ◽️ In the era of artificial intelligence, graduation degrees are l
🎓 Post-Degree Generation: AI is Changing the Hiring Game! ◽️ In the era of artificial intelligence, graduation degrees are losing their shine, especially for the class of 2025, where nearly half see the university degree as just an expensive souvenir from the pre-ChatGPT era. 🔹 Companies today don’t ask about honors or credit hours, but demand: “Show me your skills in Prompt Engineering, not Latin!” ▪️ The resume reset button has been pressed, and the most important skill now is: “Fluency in using AI”… or nothing! ♦️ Universities still grant degrees, but the market now rewards those who master the tools of the new reality. In this age, those who don’t speak the language of algorithms… are completely out of the game.

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💥MassGen 🛠MassGen is a system for interaction between different AI agents, using collaborative artificial intelligence to solve complex tasks by distributing assignments among multiple agents. 🔰Key features include model synergy, parallel processing, knowledge sharing, consensus building, and live visualization, enabling agents to work effectively together and achieve the best results. 🔰The complex architecture of MassGen supports integration with three major model providers: Google Gemini, OpenAI, and xAI Grok, and also offers the ability to extend functionality with custom tools and an interactive mode for conducting dialogues. 🔗 Links: https://github.com/Leezekun/MassGen

🚀 500+ AI Agents Projects — the largest collection of real projects with AI agents Ashish Patel has compiled a collection of
🚀 500+ AI Agents Projects — the largest collection of real projects with AI agents Ashish Patel has compiled a collection of 500+ projects where AI agents are used in various fields — from medicine to finance and customer support. 🧠 What's inside: — Open source cases: trading bots, assistants, recommendation systems — Support for popular frameworks: CrewAI, AutoGen, LangGraph, and others — Agent solutions for market analysis, resume generation, video assistants, lawyers, and even doctors — Educational agents, recruiting, customer service, and legal-tech projects — Links to repositories, task descriptions, and ideas for expansion 📌 Why this is useful: ✔️ A great start for your own project ✔️ Convenient to search by industry and technology ✔️ Lots of inspiration for hackathons, research, and automation ✔️ Community support: you can add your own cases 📌 Github

🧠 10 Must-Have AI Tools in 2025! ◽️ Looking for tools that get tasks done quickly and deliver professional results? Here are
🧠 10 Must-Have AI Tools in 2025! ◽️ Looking for tools that get tasks done quickly and deliver professional results? Here are the most powerful AI tools you must try this year, with hidden links for each tool: 🔹 Pictory.ai Tool Automatically edit videos from texts or ready clips with cinematic quality, perfect for content creators and YouTubers. 🔹 ChatGPT Tool Your smart assistant for problem-solving, content generation, programming, creative thinking, and everything you can imagine. 🔹 MidJourney Tool An amazing artistic image generator using only text descriptions, with stunning resolution and realism. 🔹 Replit Tool An interactive development environment that lets you write and run code, with AI support that suggests and corrects as you work. 🔹 Synthesia Tool Create professional videos with virtual talking faces, used in training, marketing, and education. 🔹 Soundraw Tool Generate original music tracks based on the type of content or desired mood, ideal for videos and podcasts. 🔹 Fliki Tool Automatically convert texts into short videos, with voiceover and attractive visuals suitable for platforms like TikTok and Reels. 🔹 Starry Tool Create avatars with high-quality artistic techniques, suitable for profiles, games, and marketing. 🔹 SlidesAI Tool Turn any text into a professional PowerPoint slide deck in seconds, no manual design needed. 🔹 Remini Tool Automatically enhance old or low-quality photos and restore details with ultra-high precision. — From generating images and music to writing code and designing presentations… these tools are your magic toolkit in 2025!

🔗 Unsupervised Learning
🔗 Unsupervised Learning