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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
Show moreπ Analytical overview of Telegram channel AI and Machine Learning
Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 085 subscribers, ranking 1 556 in the Education category and 3 013 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 94 085 subscribers.
According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 981 over the last 30 days and by 47 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.77%. Within the first 24 hours after publication, content typically collects 2.34% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 370 views. Within the first day, a publication typically gains 2 203 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_coursesβ
Thanks to the high frequency of updates (latest data received on 26 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
94 085
Subscribers
+4724 hours
+1877 days
+98130 days
Posts Archive
94 085
π Master AI (Artificial Intelligence) in 10 days ππ
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
π 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
π
Introduction to Large Language Models
π Author: Jonathan Fernandes
π° Level: Intermediate
β° Duration: 1h 5m
π Learn about large language modelsβwhat they are, what they can do, and how they work.π Topics: Large Language Models π€ Join Artificial intelligence for more courses
94 085
π 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 ππ
94 085
π 5 Trending AI Jobs You Canβt Miss in 2025! π€
π» Machine Learning Engineer
ππ» Average Salary: $114,000
ππ» What They Do: Design and implement ML algorithms while collaborating with data scientists and engineers. π
π Data Scientist
ππ» Average Salary: $120,000
ππ» What They Do: Analyze data, build predictive models, and drive data-backed decisions. π
π¬ AI Research Scientist
ππ» Average Salary: $126,000
ππ» What They Do: Explore the future of AI by testing algorithms and driving innovation. π
π€ AI Ethic
ππ» Average Salary: $135,000
ππ» What They Do: Promote ethical AI development, address biases, and ensure fairness. π
π AI Product Manager
ππ» Average Salary: $140,000
ππ» What They Do: Manage AI products for success, focusing on innovation and ethical impact. π
94 085
π 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
π 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 donβt 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
βAI is going to get rid of youβ¦β
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 rightβ¦ But donβt worry, weβve got your back.
If you want to survive (and thrive) in the AI world, weβll show you how. Youβll get tools, hacks, and insider knowledge that arenβt just about keeping upβtheyβll 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 sidelinesβJoin 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
π
Deep Learning: Model Optimization and Tuning
π Author: Kumaran Ponnambalam
π° Level: Advanced
β° Duration: 54m
π Learn about various optimization and tuning options available for deep learning models and use them to improve models.π Topics: Deep Learning, Machine Learning π€ Join Artificial intelligence for more courses
94 085
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94 085
βAI is going to get rid of youβ¦β
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 rightβ¦ But donβt worry, weβve got your back.
If you want to survive (and thrive) in the AI world, weβll show you how. Youβll get tools, hacks, and insider knowledge that arenβt just about keeping upβtheyβll 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 sidelinesβJoin 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
π GPU Server/GPU VPS Hosting - Trusted by 10K+ Clients for Over 6 Years π
π 30+ GPU Models for All Your Needs
NVIDIA RTX 4060, A4000, A5000, A6000, 4090, A100, 5090, and more.
π New Year Sale - Enjoy Up to 50% OFF (Lifetime Discounts!)
π‘ Exclusive Offer for Channel Subscribers: Get 20% OFF on non-discounted services with code: 20_25TE_01.
β
Sign Up Today and try our service with a FREE 24-Hour Trial.
β³ Donβt miss this opportunity to power up your projects!
π Sign Up Now
94 085
π Master AI (Artificial Intelligence) in 10 days ππ
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 ππ
