اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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
نمایش بیشتر📈 تحلیل کانال تلگرام AI and Machine Learning
کانال AI and Machine Learning (@machine_learning_courses) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 94 077 مشترک است و جایگاه 1 547 را در دسته آموزش و رتبه 3 005 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 94 077 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 26 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 965 و در ۲۴ ساعت گذشته برابر 37 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 6.79% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.34% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 6 384 بازدید دریافت میکند. در اولین روز معمولاً 2 203 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 9 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, llm, linkedin, linux, udemy تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 27 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
94 077
مشترکین
+3724 ساعت
+2267 روز
+96530 روز
آرشیو پست ها
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For those of you who are new to Neural Networks, let me try to give you a brief overview.
Neural networks are computational models inspired by the human brain's structure and function. They consist of interconnected layers of nodes (or neurons) that process data and learn patterns. Here's a brief overview:1. Structure: Neural networks have three main types of layers: - Input layer: Receives the initial data. - Hidden layers: Intermediate layers that process the input data through weighted connections. - Output layer: Produces the final output or prediction. 2. Neurons and Connections: Each neuron receives input from several other neurons, processes this input through a weighted sum, and applies an activation function to determine the output. This output is then passed to the neurons in the next layer. 3. Training: Neural networks learn by adjusting the weights of the connections between neurons using a process called backpropagation, which involves: - Forward pass: Calculating the output based on current weights. - Loss calculation: Comparing the output to the actual result using a loss function. - Backward pass: Adjusting the weights to minimize the loss using optimization algorithms like gradient descent. 4. Activation Functions: Functions like ReLU, Sigmoid, or Tanh are used to introduce non-linearity into the network, enabling it to learn complex patterns. 5. Applications: Neural networks are used in various fields, including image and speech recognition, natural language processing, and game playing, among others. Overall, neural networks are powerful tools for modeling and solving complex problems by learning from data. ENJOY LEARNING 👍👍
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📱Machine Learning and Artificial intelligence
📱Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
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🔅 Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
🌐 Author: Fikayo Adepoju
🔰 Level: Intermediate
⏰ Duration: 1h 9m
🌀 Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.📗 Topics: Machine Transcription, Artificial Intelligence, Node.js 📤 Join Machine Learning and Artificial intelligence for more courses
94 084
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The Open Doors Olympiad is your gateway to a captivating realm of knowledge and academic excellence!
Seize this remarkable opportunity to participate in the online tour of the Olympiad and secure a free education at one of Russia's most prestigious universities. You will be able to choose a programm and study Russian language for a year before entering. This is your chance to become a true specialist, equipped with skills and expertise to thrive in your field.
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Repost from Linkedin Learning
Welcome to our Development Pack! 🚀
If you're interested in web development, mobile development, machine learning, or even ChatGPT, you're in the right place.
You'll find channels for everything, starting with the famous Python 🐍 and JavaScript, and finishing with React, Next.js, AutoCAD, and SolidWorks. We also cover databases, Linux 🐧, ethical hacking, cybersecurity, finance and marketing, crypto tutorials, and many more. 🌟
📱 Development Pack
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📱Machine Learning and Artificial intelligence
📱Machine Learning and AI Foundations: Causal Inference and Modeling
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🔅 Machine Learning and AI Foundations: Causal Inference and Modeling
🌐 Author: Keith McCormick
🔰 Level: Advanced
⏰ Duration: 2h 51m
🌀 Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.📗 Topics: Causal Inference, Machine Learning, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
94 084
Turn your voice into organized notes with EchoNote! 🎙️➡️📝
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Just tap, talk, and let EchoNote handle the rest. You’ll love the simplicity! 😉📲
=> https://tglink.io/ef9c6d41b47a
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🔅 AI Pair Programming with GitHub Copilot X
🌐 Author: Ronnie Sheer
🔰 Level: Advanced
⏰ Duration: 1h 23m
🌀 Learn how to streamline software development workflows using AI pair programming with GitHub Copilot X.📗 Topics: Pair Programming, GitHub Copilot, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
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📱Machine Learning and Artificial intelligence
📱Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
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🔅 Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
🌐 Author: Keith McCormick
🔰 Level: Intermediate
⏰ Duration: 2h 9m
🌀 Learn best practices for how to produce explainable AI and interpretable machine learning solutions.📗 Topics: Machine Learning, Artificial Intelligence 📤 Join Machine Learning and Artificial intelligence for more courses
