Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
AI and Machine Learning
Kanalga Telegram’da o‘tish
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses
Ko'proq ko'rsatish📈 Telegram kanali AI and Machine Learning analitikasi
AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 048 obunachidan iborat bo'lib, Taʼlim toifasida 1 561-o'rinni va Hindiston mintaqasida 3 020-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 94 048 obunachiga ega bo‘ldi.
24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 986 ga, so‘nggi 24 soatda esa 67 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.50% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.56% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 6 109 marta ko‘riladi; birinchi sutkada odatda 1 470 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 8 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent learning, llm, linkedin, linux, udemy kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more!
Buy ads: https://telega.io/c/machine_learning_courses”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 25 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
94 048
Obunachilar
+6724 soatlar
+1517 kunlar
+98630 kunlar
Postlar arxiv
94 059
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94 059
Want to repeat trades of the legendary crypto whale smartestmoney.eth (aka smartestmoney.hl)?
He is a real legend with + 49.4M in profit 🏆
Repeating trades and invest ideas of real whales is a good strategy that will save your money and time.
Join the legendary smartestmoney_ 🐳 channel here https://t.me/+QQMH020PudI3NjU0
94 059
🔗 The Only roadmap you need to become an ML Engineer 🥳
Phase 1: Foundations (1-2 Months)
🔹 Math & Stats Basics – Linear Algebra, Probability, Statistics
🔹 Python Programming – NumPy, Pandas, Matplotlib, Scikit-Learn
🔹 Data Handling – Cleaning, Feature Engineering, Exploratory Data Analysis
Phase 2: Core Machine Learning (2-3 Months)
🔹 Supervised & Unsupervised Learning – Regression, Classification, Clustering
🔹 Model Evaluation – Cross-validation, Metrics (Accuracy, Precision, Recall, AUC-ROC)
🔹 Hyperparameter Tuning – Grid Search, Random Search, Bayesian Optimization
🔹 Basic ML Projects – Predict house prices, customer segmentation
Phase 3: Deep Learning & Advanced ML (2-3 Months)
🔹 Neural Networks – TensorFlow & PyTorch Basics
🔹 CNNs & Image Processing – Object Detection, Image Classification
🔹 NLP & Transformers – Sentiment Analysis, BERT, LLMs (GPT, Gemini)
🔹 Reinforcement Learning Basics – Q-learning, Policy Gradient
Phase 4: ML System Design & MLOps (2-3 Months)
🔹 ML in Production – Model Deployment (Flask, FastAPI, Docker)
🔹 MLOps – CI/CD, Model Monitoring, Model Versioning (MLflow, Kubeflow)
🔹 Cloud & Big Data – AWS/GCP/Azure, Spark, Kafka
🔹 End-to-End ML Projects – Fraud detection, Recommendation systems
Phase 5: Specialization & Job Readiness (Ongoing)
🔹 Specialize – Computer Vision, NLP, Generative AI, Edge AI
🔹 Interview Prep – Leetcode for ML, System Design, ML Case Studies
🔹 Portfolio Building – GitHub, Kaggle Competitions, Writing Blogs
🔹 Networking – Contribute to open-source, Attend ML meetups, LinkedIn presence
The data field is vast, offering endless opportunities so start preparing now.
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🚀 Whisper AI is Now on Telegram!
Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions — all powered by GPT-4o and Claude Sonnet!
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94 059
LLMs Intuition
01 - Introduction to LLMs
02 - Ingredients of an LLM
03 - Who invented LLMs
04 - How LLMs generate text
05 - Inside an LLM Under the Hood
06 - LLM Parameters
07 - LLM Context Window
08 - FineTuning LLMs
94 059
🔅 PREMIUM CHANNELS
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🔰 The Coding Space
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217k| 🔰 Linkedin Learning Courses
126k| 🔰 Premium Udemy Courses
126k| 🔰 Web Development
-◦-◦--◦-
104k| 🔰 Learn Python
094k| 🔰 JavaScript Courses
075k| 🔰 Machine Learning
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065k| 🔰 DevOps Tutorials
059k| 🔰 Learn React and NextJs
055k| 🔰 Data Analysis and Databases
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049k| 🔰 Linux and DevOps
043k| 🔰 Best Telegram Channels
043k| 🔰 100 Days of Python
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040k| 🔰 Business Training
039k| 🔰 ChatGPT Mastery
035k| 🔰 Mobile Development
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033k| 🔰 Udemy Learning
032k| 🔰 Codedamn Courses
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031k| 🔰 Linkedin Learning
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94 059
Perplexity, your favorite AI search tool, has just joined Telegram!
Perplexity is an AI-powered search engine that uses leading AI models and live web search to answer your most complicated questions in real-time.
Simply DM @askplexbot or add it to your group chat to try it out.
t.me/askplexbot
