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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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📈 Аналітичний огляд Telegram-каналу AI and Machine Learning

Канал AI and Machine Learning (@machine_learning_courses) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 94 085 підписників, посідаючи 1 556 місце в категорії Освіта та 3 013 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 94 085 підписників.

За останніми даними від 25 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 981, а за останні 24 години на 47, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 6.77%. Протягом перших 24 годин після публікації контент зазвичай збирає 2.34% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 6 370 переглядів. Протягом першої доби публікація в середньому набирає 2 203 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 9.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як learning, llm, linkedin, linux, udemy.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses”

Завдяки високій частоті оновлень (останні дані отримано 26 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

94 085
Підписники
+4724 години
+1877 днів
+98130 день
Архів дописів
AI and Machine Learning
AI and Machine Learning
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🚀 AI Journey Contest 2025: Test your AI skills! Join our international online AI competition. Register now for the contest!
🚀 AI Journey Contest 2025: Test your AI skills! Join our international online AI competition. Register now for the contest! Award fund — RUB 6.5 mln!   Choose your track: · 🤖 Agent-as-Judge — build a universal “judge” to evaluate AI-generated texts. · 🧠 Human-centered AI Assistant — develop a personalized assistant based on GigaChat that mimics human behavior and anticipates preferences. · 💾 GigaMemory — design a long-term memory mechanism for LLMs so the assistant can remember and use important facts in dialogue. Why Join Level up your skills, add a strong line to your resume, tackle pro-level tasks, compete for an award, and get an opportunity to showcase your work at AI Journey, a leading international AI conference. How to Join 1. Register: https://short-url.org/1bR3f 2. Choose your track. 3. Create your solution and submit it by 30 October 2025 🚀 Ready? Jump in and show your AI skills!

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📌 PyTorch Explained: From Automatic Differentiation to Training Custom Neural Networks 🗂 Category: DEEP LEARNING 🕒 Date: 2
📌 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

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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.
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🔗 Building a Conventional Neural Network (CNNs) from Scratch 🕒 Date: 2024-11-05 | ⏱️ Read time: 15 min read Line-by-Line, L
🔗 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
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📦 Exercise Files

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AI and Machine Learning
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📱Artificial intelligence 📱Fine-Tuning for LLMs: from Beginner to Advanced

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📂 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 e
🔅 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

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🇦🇺 A Black Mirror scenario is actually coming true An Australian bank employee spent 25 years at her job, then taught artif
🇦🇺 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.

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💡 How to use AI to learn anything faster
💡 How to use AI to learn anything faster

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💡 RAG Best Practices
💡 RAG Best Practices

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🔗 Machine Learning Roadmap Whether you're just starting out or looking to refine your skills, this Machine Learning Roadmap
🔗 Machine Learning Roadmap
Whether you're just starting out or looking to refine your skills, this Machine Learning Roadmap breaks down every step
1️⃣ 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

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