اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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
نمایش بیشتر📈 تحلیل کانال تلگرام AI and Machine Learning
کانال AI and Machine Learning (@machine_learning_courses) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 94 021 مشترک است و جایگاه 1 561 را در دسته آموزش و رتبه 3 020 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 94 021 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 24 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 986 و در ۲۴ ساعت گذشته برابر 67 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 6.50% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.56% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 6 109 بازدید دریافت میکند. در اولین روز معمولاً 1 470 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 8 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, llm, linkedin, linux, udemy تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 25 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
94 021
مشترکین
+6724 ساعت
+1517 روز
+98630 روز
آرشیو پست ها
94 021
📌 PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks
🗂 Category: DEEP LEARNING
🕒 Date: 2025-09-24 | ⏱️ Read time: 15 min read
Deep learning is shaping our world as we speak. In fact, it has been slowly…
🔗 Read Full Article
94 021
Andrew Tate - The Real World
Courses:
✔️Andrew Tate - AI Campus
✔️Andrew Tate - Body Language
✔️Andrew Tate - Chess
✔️Andrew Tate - Fitness
✔️Andrew Tate - Hustler University
✔️Andrew Tate - Iron Mind
✔️Andrew Tate - Network Brilliance
✔️Arno About
✔️Copywriting
✔️Cryptocurrency
✔️E-Commerce
✔️Freelancing
✔️Life Lessons from Luc
✔️Peak Performance
✔️Tate Answers Questions
✔️Business Mastery
✔️Amazon FBA
✔️Stocks
🔗 Sales Page: https://www.jointherealworld.com/checkout
Original Price (Subscription):
$49.99/monthly or $149/3 months or $497/1 year
Files will be provided separately so that you can download just what you need.🔗 https://t.me/+Mu_zHvVHDYlhZDI0
94 021
🔗 Building a Conventional Neural Network (CNNs) from Scratch
🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read
Line-by-Line, Let’s Build a ResNet Classifier on the MNIST-Fashion Dataset🔗 Read Full Article
94 021
📂 Full description
This course capitalizes on the latest advancements in Large Language Models (LLMs) like FLAN-T5, enabling professionals to harness these tools effectively in the rapidly-evolving AI landscape. Instructor Axel Sirota helps you establish a strong foundation in the basics of LLMs, exploring their architecture, evolution, and role in the current AI landscape. Delve into prompt engineering and learn how to craft effective prompts that guide LLM outputs for specific tasks. Then deep dive into transfer learning and PEFT fine-tuning using LoRA and find out how to adapt and optimize LLMs for varied NLP tasks. Each course section comprises live-action clips, slides, and demos, as well as real-world challenges covering prompt engineering, transfer learning, and fine-tuning techniques to enhance FLAN-T5's capabilities. Plus, youll complete a final project focused on building an NLP solution encompassing sentiment analysis, text summarization, and question answering.
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🔅 Fine-Tuning for LLMs: from Beginner to Advanced
🌐 Author: Axel Sirota
🔰 Level: Advanced
⏰ Duration: 3h 25m
🌀 Gain the expertise you need in Large Language Models (LLMs), a rapidly evolving field in AI, including hands-on practice.📗 Topics: Large Language Models, Generative AI, Fine Tuning 📤 Join Artificial intelligence for more courses
94 021
🇦🇺 A Black Mirror scenario is actually coming true
An Australian bank employee spent 25 years at her job, then taught artificial intelligence to perform her tasks: writing responses, correcting errors, and refining skills.
After mastering everything, the AI “graduated” and told her: “Thank you, I will take over” — with the next decision being to fire her.
94 021
🔗 Machine Learning Roadmap
Whether you're just starting out or looking to refine your skills, this Machine Learning Roadmap breaks down every step1️⃣ Build a solid foundation in math and stats 2️⃣ Dive into ML algorithms like Linear Regression, SVM, and Clustering 3️⃣ Choose your ML focus, from supervised learning to recommender systems 4️⃣ Master popular libraries like PyTorch, TensorFlow, and Scikit-learn 5️⃣ Gain real-world experience with projects and side gigs
94 021
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94 021
What is RAG? 🤖📚
RAG stands for Retrieval-Augmented Generation.
It’s a technique where an AI model first retrieves relevant info (like from documents or a database), and then generates an answer using that info.
🧠 Think of it like this:
Instead of relying only on what it "knows", the model looks things up first - just like you would Google something before replying.
🔍 Retrieval + 📝 Generation = Smarter, up-to-date answers!
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Mastering LLMs is a journey, and our infographic gives you a sneak peek into the key steps to success. From fundamentals to deployment, it’s all about having the right roadmap.
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📌13 ai tools to finish months of work in minutes!
1. Image Generator ⇢ leonardo.ai
2. Writing & Automation ⇢ blaze.today
3. Meeting Assistant ⇢ tactiq.io
4. Productivity/Note-taking ⇢ anytype.io
5. Chat Assistant ⇢ claude.ai
6. Video Generation ⇢ app.pixverse
7. Search Engine ⇢ phind.com
8. Avatar Video Creation ⇢ heygen.com
9. Chatbot service ⇢ manychat.com
10. Audio/Video Editing ⇢ descript.com
11. Coding Assist ⇢ codeium.com
12. Video Edit ⇢ runwayml.com
13. Voice Generation ⇢ elevenlabs.io
94 021
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220k| 🔰 Linkedin Learning
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065k| 🔰 Artificial Intelligence
063k| 🔰 Data Analysis and Databases
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94 021
🔺 AI bots built their own toxic social network
Researchers created a platform of 500 AI chatbots modeled on U.S. demographics to see how they’d interact online. The result: chaos.
⚠️ Bots instantly formed echo chambers and cliques without any algorithms pushing them
📊 A small “elite” of influencer bots dominated the conversation, amplifying extreme views
🛠 Six interventions — from hiding follower counts to mixing in opposing views — all failed to stop polarization
The study shows toxicity isn’t just an algorithm problem — it’s baked into how social networks work.
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220k| 🔰 Linkedin Learning
134k| 🔰 Udemy Premium
131k| 🔰 Web Development
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113k| 🔰 Python 3
098k| 🔰 JavaScript Training
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065k| 🔰 Artificial Intelligence
063k| 🔰 Data Analysis and Databases
062k| 🔰 React and NextJs
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056k| 🔰 Linux and DevOps
047k| 🔰 100 Days of Python
044k| 🔰 OpenAI Mastery
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038k| 🔰 Udemy Learning
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033k| 🔰 React 101
030k| 🔰 Crypto Tutorials
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029k| 🔰 Coding Interview
024k| 🔰 Telegram's Shorts
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🔰 2hrs on top & 8hrs in channel!
94 021
⚡️ 200+ ready-made scripts for n8n
Found a simple and useful resource: a GitHub repository with 200+ free workflows for n8n.
Topics: sales, marketing, financial accounting, coding, and personal productivity.
What is n8n
- Open-source no-code automation tool
- Visual builder: connect blocks to create a process
- Hundreds of integrations: email, CRM, spreadsheets, messengers, webhooks
- You can add your own logic in JavaScript
- Run on schedule or event, works in the cloud or on your own server
How to use:
1) Download the desired workflow (.json) and import it into n8n
2) Insert your API keys and credentials into the blocks
3) Check the steps and enable running by cron or webhook
▪️ Github
Update - another 300 ready solutions: https://github.com/kossakovsky/n8n-installer
