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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
Больше📈 Аналитический обзор Telegram-канала AI and Machine Learning
Канал AI and Machine Learning (@machine_learning_courses) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 94 148 подписчиков, занимая 1 543 место в категории Образование и 2 997 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 94 148 подписчиков.
Согласно последним данным от 29 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 917, а за последние 24 часа — 0, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.14%. В первые 24 часа после публикации контент обычно набирает 2.71% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 6 725 просмотров. В течение первых суток публикация набирает 2 549 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, llm, linkedin, linux, udemy.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Благодаря высокой частоте обновлений (последние данные получены 30 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
94 148
Подписчики
Нет данных24 часа
+2937 дней
+91730 день
Архив постов
94 169
📚 AI Engineering: Building Applications with Foundation Models 1st
Original Price: 57$
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🧠 Examples and Guides for DeepMind Gemini Models
The repository contains small examples, code snippets, and guides demonstrating experiments with Google's DeepMind Gemini models. Here you will find useful samples for integrating and using various Gemini features, including working with the OpenAI SDK and Google Search.📖 Highlights: - Examples of using Gemini with OpenAI and Google Search - Guides on functions and agents - Scripts for browser interaction and content generation - Integration with LangChain and PydanticAI 🔗 GitHub: https://github.com/philschmid/gemini-samples
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🔗 Master AI in 2025
AI isn’t one big leap, it’s a series of steps - Python, ML, Deep Learning, NLP, and then the world of Generative AI.This roadmap gives you the base.
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🚀 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: 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.🔗 https://t.me/+Mu_zHvVHDYlhZDI0
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🔗 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
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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 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 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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🔗 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
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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
