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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
Показати більше📈 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
94 085
🔗 Master AI (Artificial Intelligence) in 10 days 👇👇
Day 1: Introduction to AI
- Start with an overview of what AI is and its various applications.
- Read articles or watch videos explaining the basics of AI.
Day 2-3: Machine Learning Fundamentals
- Learn the basics of machine learning, including supervised and unsupervised learning.
- Study concepts like data, features, labels, and algorithms.
Day 4-5: Deep Learning
- Dive into deep learning, understanding neural networks and their architecture.
- Learn about popular deep learning frameworks like TensorFlow or PyTorch.
Day 6: Natural Language Processing (NLP)
- Explore the basics of NLP, including tokenization, sentiment analysis, and named entity recognition.
Day 7: Computer Vision
- Study computer vision, including image recognition, object detection, and convolutional neural networks.
Day 8: AI Ethics and Bias
- Explore the ethical considerations in AI and the issue of bias in AI algorithms.
Day 9: AI Tools and Resources
- Familiarize yourself with AI development tools and platforms.
- Learn how to access and use AI datasets and APIs.
Day 10: AI Project
- Work on a small AI project. For example, build a basic chatbot, create an image classifier, or analyze a dataset using AI techniques.
94 085
+8
🔗 Unlocking Al Mastery: Top LLM Projects for Every Stage of Learning
Discover hands-on projects to enhance your Al skills and explore the future of LLMs!
94 085
🔅 Introduction to Large Language Models
🌐 Author: Jonathan Fernandes
🔰 Level: Intermediate
⏰ Duration: 1h 5m
🌀 Learn about large language models—what they are, what they can do, and how they work.📗 Topics: Large Language Models 📤 Join Artificial intelligence for more courses
94 085
🔗 Essential Tools, Libraries, and Frameworks to learn Artificial Intelligence
1. Programming Languages:
Python
R
Java
Julia
2. AI Frameworks:
TensorFlow
PyTorch
Keras
MXNet
Caffe
3. Machine Learning Libraries:
Scikit-learn: For classical machine learning models.
XGBoost: For boosting algorithms.
LightGBM: For gradient boosting models.
4. Deep Learning Tools:
TensorFlow
PyTorch
Keras
Theano
5. Natural Language Processing (NLP) Tools:
NLTK (Natural Language Toolkit)
SpaCy
Hugging Face Transformers
Gensim
6. Computer Vision Libraries:
OpenCV
DLIB
Detectron2
7. Reinforcement Learning Frameworks:
Stable-Baselines3
RLlib
OpenAI Gym
8. AI Development Platforms:
IBM Watson
Google AI Platform
Microsoft AI
9. Data Visualization Tools:
Matplotlib
Seaborn
Plotly
Tableau
10. Robotics Frameworks:
ROS (Robot Operating System)
MoveIt!
11. Big Data Tools for AI:
Apache Spark
Hadoop
12. Cloud Platforms for AI Deployment:
Google Cloud AI
AWS SageMaker
Microsoft Azure AI
13. Popular AI APIs and Services:
Google Cloud Vision API
Microsoft Azure Cognitive Services
IBM Watson AI APIs
14. Learning Resources and Communities:
Kaggle
GitHub AI Projects
Papers with Code
ENJOY LEARNING 👍👍
94 085
🔗 5 Trending AI Jobs You Can’t Miss in 2025! 🤖
💻 Machine Learning Engineer
👉🏻 Average Salary: $114,000
👉🏻 What They Do: Design and implement ML algorithms while collaborating with data scientists and engineers. 📊
📊 Data Scientist
👉🏻 Average Salary: $120,000
👉🏻 What They Do: Analyze data, build predictive models, and drive data-backed decisions. 📈
🔬 AI Research Scientist
👉🏻 Average Salary: $126,000
👉🏻 What They Do: Explore the future of AI by testing algorithms and driving innovation. 🌟
🤝 AI Ethic
👉🏻 Average Salary: $135,000
👉🏻 What They Do: Promote ethical AI development, address biases, and ensure fairness. 🌐
📈 AI Product Manager
👉🏻 Average Salary: $140,000
👉🏻 What They Do: Manage AI products for success, focusing on innovation and ethical impact. 🛠
94 085
📖 Dubao 1.5 pro, a new chinese Model.
> outperforms on popular benchmarks almost every other LLM
> outperforms o1 on AIME
> uses MoE with 7 experts
> 20b activated parameters
China is cooking!
94 085
🔗 The cost of knowledge will become zero
In a test in Nigeria kids learned with the help of AI tutors the same amount of knowledge compared to two years with human teachers.
We don’t need schools anymore besides as a social room for meeting other kids.
Human teachers were still needed in this test. However, the question is how long.
94 085
“AI is going to get rid of you…”
This is what people who do not know how to work with AI will tell you. Unless you know how to work with it, they are right… But don’t worry, we’ve got your back.
If you want to survive (and thrive) in the AI world, we’ll show you how. You’ll get tools, hacks, and insider knowledge that aren’t just about keeping up—they’ll put you ahead of the game. Whether you're a total newbie or already neck-deep in AI, there's something here that'll level up your skills and mindset. This is your chance to become the person who knows how to work with AI, not against it.
Ready to take control of your future with AI? Don't sit on the sidelines—Join this channel now and start transforming the way you work, learn, and grow. The AI revolution is here, and it's time you lead the change.
94 085
🔅 Deep Learning: Model Optimization and Tuning
🌐 Author: Kumaran Ponnambalam
🔰 Level: Advanced
⏰ Duration: 54m
🌀 Learn about various optimization and tuning options available for deep learning models and use them to improve models.📗 Topics: Deep Learning, Machine Learning 📤 Join Artificial intelligence for more courses
94 085
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94 085
“AI is going to get rid of you…”
This is what people who do not know how to work with AI will tell you. Unless you know how to work with it, they are right… But don’t worry, we’ve got your back.
If you want to survive (and thrive) in the AI world, we’ll show you how. You’ll get tools, hacks, and insider knowledge that aren’t just about keeping up—they’ll put you ahead of the game. Whether you're a total newbie or already neck-deep in AI, there's something here that'll level up your skills and mindset. This is your chance to become the person who knows how to work with AI, not against it.
Ready to take control of your future with AI? Don't sit on the sidelines—Join this channel now and start transforming the way you work, learn, and grow. The AI revolution is here, and it's time you lead the change.
94 085
🌟 GPU Server/GPU VPS Hosting - Trusted by 10K+ Clients for Over 6 Years 🌟
🚀 30+ GPU Models for All Your Needs
NVIDIA RTX 4060, A4000, A5000, A6000, 4090, A100, 5090, and more.
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💡 Exclusive Offer for Channel Subscribers: Get 20% OFF on non-discounted services with code: 20_25TE_01.
✅ Sign Up Today and try our service with a FREE 24-Hour Trial.
⏳ Don’t miss this opportunity to power up your projects!
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94 085
🔗 Master AI (Artificial Intelligence) in 10 days 👇👇
Day 1: Introduction to AI
- Start with an overview of what AI is and its various applications.
- Read articles or watch videos explaining the basics of AI.
Day 2-3: Machine Learning Fundamentals
- Learn the basics of machine learning, including supervised and unsupervised learning.
- Study concepts like data, features, labels, and algorithms.
Day 4-5: Deep Learning
- Dive into deep learning, understanding neural networks and their architecture.
- Learn about popular deep learning frameworks like TensorFlow or PyTorch.
Day 6: Natural Language Processing (NLP)
- Explore the basics of NLP, including tokenization, sentiment analysis, and named entity recognition.
Day 7: Computer Vision
- Study computer vision, including image recognition, object detection, and convolutional neural networks.
Day 8: AI Ethics and Bias
- Explore the ethical considerations in AI and the issue of bias in AI algorithms.
Day 9: AI Tools and Resources
- Familiarize yourself with AI development tools and platforms.
- Learn how to access and use AI datasets and APIs.
Day 10: AI Project
- Work on a small AI project. For example, build a basic chatbot, create an image classifier, or analyze a dataset using AI techniques.
ENJOY LEARNING 👍👍
