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Artificial Intelligence

Artificial Intelligence

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🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

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📈 Telegram kanali Artificial Intelligence analitikasi

Artificial Intelligence (@machinelearning_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 55 347 obunachidan iborat bo'lib, Taʼlim toifasida 3 050-o'rinni va Hindiston mintaqasida 6 215-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 55 347 obunachiga ega bo‘ldi.

29 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 665 ga, so‘nggi 24 soatda esa 20 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.14% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.33% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 3 400 marta ko‘riladi; birinchi sutkada odatda 736 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 26 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, classification, layer, pattern, chatbot kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 30 Avgust, 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.

55 347
Obunachilar
+2024 soatlar
+1197 kunlar
+66530 kunlar
Postlar arxiv
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗘𝗳𝗳𝗼𝗿𝘁𝗹𝗲𝘀𝘀𝗹𝘆 𝘄𝗶𝘁𝗵 𝗧𝗵𝗶𝘀 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁!🔥 Struggling with SQL basics?👋 This ch
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗘𝗳𝗳𝗼𝗿𝘁𝗹𝗲𝘀𝘀𝗹𝘆 𝘄𝗶𝘁𝗵 𝗧𝗵𝗶𝘀 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁!🔥 Struggling with SQL basics?👋 This cheat sheet has everything you need! 🎯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hB8KYa 🚀 No more searching for syntax—just bookmark and use it anytime!

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Maths for Machine Learning 👆
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Maths for Machine Learning 👆

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘? 𝗛𝗲𝗿𝗲’𝘀 𝗛𝗼𝘄!😍 Learn AI from scratch with these 6 YouTube channels! �
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘? 𝗛𝗲𝗿𝗲’𝘀 𝗛𝗼𝘄!😍 Learn AI from scratch with these 6 YouTube channels! 🎯 💡Whether you’re a beginner or an AI enthusiast, these top AI experts will guide you through AI fundamentals, deep learning, and real-world applications 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4iIxCy8 📢 Start watching today and stay ahead in the AI revolution! 🚀

AI Agents for eCom Summit goes Live from March 11 - 10:00 AM Pacific Time. It's a 4-day free online event with 40+ Top Speake
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AI Agents for eCom Summit goes Live from March 11 - 10:00 AM Pacific Time. It's a 4-day free online event with 40+ Top Speakers sharing their knowledge and expertise on AI and E-Commerce. Register here: https://www.ecomagents.com And join our Channel for Livestream: https://tglink.io/93461fef4dae 

Machine Learning types
Machine Learning types

Text Translator with Python 👆
Text Translator with Python 👆

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Top AI Algorithms 👆✅
Top AI Algorithms 👆✅

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗺𝗮𝘀𝘁𝗲𝗿 𝗘𝘅𝗰𝗲𝗹 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟳 𝗱𝗮𝘆𝘀? 📊 Here's a structured roadmap to help you go from beginner
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗺𝗮𝘀𝘁𝗲𝗿 𝗘𝘅𝗰𝗲𝗹 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟳 𝗱𝗮𝘆𝘀? 📊 Here's a structured roadmap to help you go from beginner to pro in a week! Whether you're learning formulas, functions, or data visualization, this guide covers everything step by step. 𝐋𝐢𝐧𝐤👇 :- https://pdlink.in/43lzybE All The Best 💥

The Foundation of Data Science
The Foundation of Data Science

Don't overwhelm to learn Git,🙌 Git is only this much👇😇 1.Core: • git init • git clone • git add • git commit • git status • git diff • git checkout • git reset • git log • git show • git tag • git push • git pull 2.Branching: • git branch • git checkout -b • git merge • git rebase • git branch --set-upstream-to • git branch --unset-upstream • git cherry-pick 3.Merging: • git merge • git rebase 4.Stashing: • git stash • git stash pop • git stash list • git stash apply • git stash drop 5.Remotes: • git remote • git remote add • git remote remove • git fetch • git pull • git push • git clone --mirror 6.Configuration: • git config • git global config • git reset config 7. Plumbing: • git cat-file • git checkout-index • git commit-tree • git diff-tree • git for-each-ref • git hash-object • git ls-files • git ls-remote • git merge-tree • git read-tree • git rev-parse • git show-branch • git show-ref • git symbolic-ref • git tag --list • git update-ref 8.Porcelain: • git blame • git bisect • git checkout • git commit • git diff • git fetch • git grep • git log • git merge • git push • git rebase • git reset • git show • git tag 9.Alias: • git config --global alias.<alias> <command> 10.Hook: • git config --local core.hooksPath <path> ✅ Best Telegram channels to get free coding & data science resources https://t.me/addlist/4q2PYC0pH_VjZDk5 ✅ Free Courses with Certificate: https://t.me/free4unow_backup

𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊🚀 Want to master data analytics? Here are top fre
𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊🚀 Want to master data analytics? Here are top free courses, books, and certifications to help you get started with Power BI, Tableau, Python, and Excel. 𝐋𝐢𝐧𝐤👇 https://pdlink.in/41Fx3PW All The Best 💥

🏆 – AI/ML Engineer Stage 1 – Python Basics Stage 2 – Statistics & Probability Stage 3 – Linear Algebra & Calculus Stage 4 – Data Preprocessing Stage 5 – Exploratory Data Analysis (EDA) Stage 6 – Supervised Learning Stage 7 – Unsupervised Learning Stage 8 – Feature Engineering Stage 9 – Model Evaluation & Tuning Stage 10 – Deep Learning Basics Stage 11 – Neural Networks & CNNs Stage 12 – RNNs & LSTMs Stage 13 – NLP Fundamentals Stage 14 – Deployment (Flask, Docker) Stage 15 – Build projects

LLM Project Ideas for Resume 1️⃣ AI Image Captioning Train an LLM to generate accurate, context-aware image captions for better accessibility and engagement. 2️⃣ Large Text Analysis Use LLMs to summarize and extract key insights from massive text documents in various industries. 3️⃣ AI Code Generation Automate code snippet creation from natural language descriptions to boost developer productivity. 4️⃣ Text Completion Fine-tune LLMs for smarter text predictions in chatbots and content tools, enhancing user interactions.

Repost from Star Union News
When will the green summons end? In Germany, the green turn began in the noughties. This means that now every fifth windmill
When will the green summons end? In Germany, the green turn began in the noughties. This means that now every fifth windmill in the country has been operating for 20-25 years. That is, they are about to work out their standard service life and are likely to be demolished. Horror for the real economy. Old windmills will be replaced with new ones. And these are new subsidies and another increase in electricity prices." However, the number of generators will remain the same. This cycle will now be endless: we demolish the old, build the new (this is the motivation to support the "green" so actively). 
"The energy transition has given the elites a clear conscience and at the same time a good profit margin,"
says Michael Vassiliadis, head of the Mining, Chemical and Energy Industrial Union(IG BCE). 🔥According to a Welt investigation in 2021, the environmental impact of the agenda brings a lot of profit to individuals. Representatives of environmental NGOs work closely with the Federal Government. How will this affect the industry? Automotive industry. The auto industry has lost 11,000 jobs over the past year. The outlook for the steel and electrical industries is daunting: Gesamtmetall, a lobbying group, predicts up to 300,000 job cuts over the next five years, accounting for almost 7% of total employment in these sectors. Chemistry and metallurgy. Industries are now producing 20% less than they did before 2022. RES cannot cover the required capacity. We are waiting for the German government to help the country end its energy and economic suicide. #Germany #Chemistry #Government 🇪🇺 Keep up with the latest Star Union News  🖥

Creating a one-month data analytics roadmap requires a focused approach to cover essential concepts and skills. Here's a structured plan along with free resources: 🗓️Week 1: Foundation of Data Analytics ◾Day 1-2: Basics of Data Analytics Resource: Khan Academy's Introduction to Statistics Focus Areas: Understand descriptive statistics, types of data, and data distributions. ◾Day 3-4: Excel for Data Analysis Resource: Microsoft Excel tutorials on YouTube or Excel Easy Focus Areas: Learn essential Excel functions for data manipulation and analysis. ◾Day 5-7: Introduction to Python for Data Analysis Resource: Codecademy's Python course or Google's Python Class Focus Areas: Basic Python syntax, data structures, and libraries like NumPy and Pandas. 🗓️Week 2: Intermediate Data Analytics Skills ◾Day 8-10: Data Visualization Resource: Data Visualization with Matplotlib and Seaborn tutorials Focus Areas: Creating effective charts and graphs to communicate insights. ◾Day 11-12: Exploratory Data Analysis (EDA) Resource: Towards Data Science articles on EDA techniques Focus Areas: Techniques to summarize and explore datasets. ◾Day 13-14: SQL Fundamentals Resource: Mode Analytics SQL Tutorial or SQLZoo Focus Areas: Writing SQL queries for data manipulation. 🗓️Week 3: Advanced Techniques and Tools ◾Day 15-17: Machine Learning Basics Resource: Andrew Ng's Machine Learning course on Coursera Focus Areas: Understand key ML concepts like supervised learning and evaluation metrics. ◾Day 18-20: Data Cleaning and Preprocessing Resource: Data Cleaning with Python by Packt Focus Areas: Techniques to handle missing data, outliers, and normalization. ◾Day 21-22: Introduction to Big Data Resource: Big Data University's courses on Hadoop and Spark Focus Areas: Basics of distributed computing and big data technologies. 🗓️Week 4: Projects and Practice ◾Day 23-25: Real-World Data Analytics Projects Resource: Kaggle datasets and competitions Focus Areas: Apply learned skills to solve practical problems. ◾Day 26-28: Online Webinars and Community Engagement Resource: Data Science meetups and webinars (Meetup.com, Eventbrite) Focus Areas: Networking and learning from industry experts. ◾Day 29-30: Portfolio Building and Review Activity: Create a GitHub repository showcasing projects and code Focus Areas: Present projects and skills effectively for job applications. 👉Additional Resources: Books: "Python for Data Analysis" by Wes McKinney, "Data Science from Scratch" by Joel Grus. Online Platforms: DataSimplifier, Kaggle, Towards Data Science Data Science Course Google Cloud Generative AI Path Unlock the power of Generative AI Models Machine Learning with Python Free Course Machine Learning Free Book Deep Learning Nanodegree Program with Real-world Projects AI, Machine Learning and Deep Learning Join @free4unow_backup for more free courses ENJOY LEARNING👍👍

𝗧𝗼𝗽 𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝗧𝗼𝗱𝗮𝘆!😍 In today’s fast-paced tech
𝗧𝗼𝗽 𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝗧𝗼𝗱𝗮𝘆!😍 In today’s fast-paced tech industry, staying ahead requires continuous learning and upskilling✨️ Fortunately, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 is offering 𝗳𝗿𝗲𝗲 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 that can help beginners and professionals enhance their 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝗱𝗮𝘁𝗮, 𝗔𝗜, 𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 without spending a dime!⬇️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DwqJRt Start a career in tech, boost your resume, or improve your data skills✅️

𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗶𝗢𝗡 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀!😍 Looking to boost your car
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