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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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📈 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 94 354 subscribers, ranking 1 535 in the Education category and 3 013 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 94 354 subscribers.

According to the latest data from 07 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 875 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.94%. Within the first 24 hours after publication, content typically collects 2.64% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 9 375 views. Within the first day, a publication typically gains 2 487 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
  • Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Thanks to the high frequency of updates (latest data received on 08 July, 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.

94 354
Subscribers
+1324 hours
+1487 days
+87530 days
Posts Archive
🔗 The cost of knowledge will become zero In a test in Nigeria kids learned with the help of AI tutors the same amount of kno
🔗 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.

“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 t
“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.

📦 Exercise Files

📱Artificial intelligence 📱Deep Learning: Model Optimization and Tuning

🔅 Deep Learning: Model Optimization and Tuning 🌐 Author: Kumaran Ponnambalam 🔰 Level: Advanced ⏰ Duration: 54m 🌀 Learn ab
🔅 Deep Learning: Model Optimization and Tuning 🌐 Author: Kumaran Ponnambalam 🔰 Level: AdvancedDuration: 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

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“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 t
“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.

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🔗 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 👍👍

Top 9 machine learning algorithms
Top 9 machine learning algorithms

🔗 Machine Learning Life Cycle Explained
🔗 Machine Learning Life Cycle Explained

🌐 Neural Networks and Deep Learning
Neural networks and deep learning are integral parts of artificial intelligence (AI) and machine learning (ML).
Here's an overview: 1.Neural Networks: Neural networks are computational models inspired by the human brain's structure and functioning. They consist of interconnected nodes (neurons) organized in layers: input layer, hidden layers, and output layer. Each neuron receives input, processes it through an activation function, and passes the output to the next layer. Neurons in subsequent layers perform more complex computations based on previous layers' outputs. Neural networks learn by adjusting weights and biases associated with connections between neurons through a process called training. This is typically done using optimization techniques like gradient descent and back-propagation. 2. Deep Learning: Deep learning is a subset of ML that uses neural networks with multiple layers (hence the term "deep"), allowing them to learn hierarchical representations of data. These networks can automatically discover patterns, features, and representations in raw data, making them powerful for tasks like image recognition, natural language processing (NLP), speech recognition, and more. Deep learning architectures such as Conventional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and Transformer models have demonstrated exceptional performance in various domains. 3. Applications Computer Vision: Object detection, image classification, facial recognition, etc., leveraging CNNs. Natural Language Processing (NLP) Language translation, sentiment analysis, chatbots, etc., utilizing RNNs, LSTMs, and Transformers. Speech Recognition: Speech-to-text systems using deep neural networks. 4. Challenges and Advancements: Training deep neural networks often requires large amounts of data and computational resources. Techniques like transfer learning, regularization, and optimization algorithms aim to address these challenges. Advancements in hardware (GPUs, TPUs), algorithms (improved architectures like GANs - Generative Adversarial Networks), and techniques (attention mechanisms) have significantly contributed to the success of deep learning. 5. Frameworks and Libraries: There are various open-source libraries and frameworks (TensorFlow, PyTorch, Keras, etc.) that provide tools and APIs for building, training, and deploying neural networks and deep learning models.

📱Artificial intelligence 📱Hands-On AI: RAG using LlamaIndex

📱Artificial intelligence 📱Hands-On AI: RAG using LlamaIndex

📱Artificial intelligence 📱Hands-On AI: RAG using LlamaIndex

📱Artificial intelligence 📱Hands-On AI: RAG using LlamaIndex

🔅 Hands-On AI: RAG using LlamaIndex 🌐 Author: Harpreet Sahota 🔰 Level: Advanced ⏰ Duration: 6h 25m 🌀 Learn how to enhance
🔅 Hands-On AI: RAG using LlamaIndex 🌐 Author: Harpreet Sahota 🔰 Level: AdvancedDuration: 6h 25m
🌀 Learn how to enhance AI query capabilities and data accuracy through the application of LlamaIndex in retrieval-augmented generation processes.
📗 Topics: Retrieval-Augmented Generation, LLaMA, Artificial Intelligence 📤 Join Artificial intelligence for more courses

💻 The Coding Space Welcome to 'The Coding Space' – your gateway to mastering programming and coding! 💻🎓 Explore tutorials
💻 The Coding Space Welcome to 'The Coding Space' – your gateway to mastering programming and coding! 💻🎓 Explore tutorials in Python, Java, C, C++, C#, and other powerful languages. Whether you're a beginner or an experienced developer, this channel provides practical tips, real-world projects, and resources to help you grow your coding expertise. Join us to enhance your skills and stay ahead in the tech world! 📱 The Coding Space

(1) Invite 5 people on the same day, and get a cumulative reward of 12 USDT (2) Invite 10 people on the same day, and get a c
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