Machine Learning

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Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Ko'proq ko'rsatish

Tarmoq:Machine Learning with Python Suriya228 Texnologiyalar & Aralashmalar3 352...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 205 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 352-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 205 obunachiga ega bo‘ldi.

02 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 343 ga, so‘nggi 24 soatda esa 10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 1.99% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.28% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 800 marta ko‘riladi; birinchi sutkada odatda 915 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 03 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

40 205

Obunachilar

+1024 soatlar

+837 kunlar

+34330 kunlar

800

Post ko'rishlar

~ 91524 soatlar

~ 1 23548 soatlar

1.99%

Muloqot nisbati

~ 3

Kuniga postlar

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Postlar arxiv

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📌 TimesFM: The Boom of Foundation Models in Time Series Forecasting 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-20 | ⏱️ Read time: 14 min read Explore How Google’s Latest AI Model Delivers Zero-Shot Forecasting Accuracy Using Over 307 Billion Data…

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📌 Topic Modelling Your Personal Data 🗂 Category: 🕒 Date: 2024-09-21 | ⏱️ Read time: 29 min read Using Traditional and Transformer Models to Explore Personal Data Stored by Brokers

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📌 Reinforcement Learning, Part 8: Feature State Construction 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-21 | ⏱️ Read time: 17 min read Enhancing linear methods by smartly incorporating state features into the learning objective

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“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? Bonus fuel & copytrading with Elite Gold. Want proof? See how it’s actually done before the bonus ends. #ad InsideAds

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📌 A Basic Introduction to Quantum GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-21 | ⏱️ Read time: 11 min read “Quantum computing just becomes vastly simpler once you take the physics out of it.”

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📌 An Intuitive Guide to Integrate SQL and Python for Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-21 | ⏱️ Read time: 11 min read Learn to master MySQL connector, a Python library that enables to interact with MYSQL database

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📌 Proxy SHAP: Speed Up Explainability with Simpler Models 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-21 | ⏱️ Read time: 7 min read A Practical Guide to Efficient SHAP Computation

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📌 The Machine Learning Lessons I’ve Learned This Month 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-30 | ⏱️ Read time: 7 min read September 2025: library or self-made, Ditto and Launchbar, reading widely and deeply

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📌 How to Build Effective Agentic Systems with LangGraph 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-30 | ⏱️ Read time: 12 min read Create AI workflows with agentic frameworks

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📌 Actual Intelligence in the Age of AI 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-09-30 | ⏱️ Read time: 11 min read Jarom Hulet on mastering fundamentals, hiring well, and deciding what to write about next

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📌 Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-30 | ⏱️ Read time: 7 min read Understanding Gini and Lorenz curves for smarter model evaluation

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Repost from Machine Learning with Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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Ever wondered why the same grape can taste wildly different from one bottle to another? The answer lies in the secrets of terroir, winemaking, and those rare finds only true wine lovers discover. Unlock a world of honest reviews, tasting notes, and hidden gems—subscribe to Simply Wine | Great Wine Lover and turn every glass into a new adventure! #ad InsideAds

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📌 Hands-On Numerical Derivative with Python, from Zero to Hero 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-22 | ⏱️ Read time: 10 min read Here’s everything you need to know (beyond the standard definition) to master the numerical derivative…

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📌 How I Deal with Hallucinations at an AI Startup 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-22 | ⏱️ Read time: 8 min read And the difference between weak vs strong grounding

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📌 Data Empowers Business 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-09-22 | ⏱️ Read time: 10 min read Exploiting the full potential of universal data supply

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📌 Build Your Agents from Scratch 🗂 Category: 🕒 Date: 2024-09-23 | ⏱️ Read time: 8 min read Design your own agents without any framework

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📌 Embeddings Are Kind of Shallow 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-23 | ⏱️ Read time: 33 min read What I learned doing semantic search on U.S. Presidents with four language model embeddings

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📌 Programming an Arduino with CrewAI Agents 🗂 Category: PROGRAMMING 🕒 Date: 2024-09-23 | ⏱️ Read time: 7 min read An interaction between electronics and LLMs

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📌 Breaking It Down : Chunking Techniques for Better RAG 🗂 Category: 🕒 Date: 2024-09-23 | ⏱️ Read time: 19 min read Mastering chunking for efficient retrieval in RAG systems