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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📌 Zero-Shot Localization with CLIP-Style Encoders 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-24 | ⏱️ Read time: 11 min read How can we see what a vision encoder sees?

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📌 A Deep Dive into Odds Ratio 🗂 Category: STATISTICS 🕒 Date: 2024-09-24 | ⏱️ Read time: 20 min read Understanding, calculating, visualizing, and interpreting odds ratios and their confidence intervals with practical examples in…

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📌 Building an Interactive UI for Llamaindex Workflows 🗂 Category: 🕒 Date: 2024-09-24 | ⏱️ Read time: 11 min read A guide to integrating human-in-the-loop interactions using Llamaindex, FastAPI, and Streamlit

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📌 Feature Engineering Techniques for Numerical Variables in Python 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-24 | ⏱️ Read time: 21 min read Learn the most useful feature engineering techniques to convert numerical values into useful information for…

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📌 I’ve hired 3 cohorts of data science interns – here’s my advice on getting an offer 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-24 | ⏱️ Read time: 16 min read Resume and interview tips for landing a data science internship

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📌 Doctors Leverage Multimodal Data; Medical AI Should Too 🗂 Category: 🕒 Date: 2024-09-25 | ⏱️ Read time: 11 min read Integrating multimodal data enables a new generation of medical AI systems to better capture doctor’s…

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📌 Water Cooler Small Talk: The Birthday Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-25 | ⏱️ Read time: 9 min read A look at the counterintuitive mathematics of shared birthdays

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📌 Convenient Time Series Forecasting with sktime 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-25 | ⏱️ Read time: 8 min read How to make forecasting as easy as a walk in the park

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📌 Exposing Jailbreak Vulnerabilities in LLM Applications with ARTKIT 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-25 | ⏱️ Read time: 10 min read Automated prompt-based testing to extract hidden passwords in the popular Gandalf challenge

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📌 How Cohort Analysis Can Transform Your Customer Insights 🗂 Category: 🕒 Date: 2024-09-25 | ⏱️ Read time: 6 min read Discover how tracking customer behavior over time with cohort analysis can improve engagement and retention…

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📌 I Spent My Money on Benchmarking LLMs on Dutch Exams So You Don’t Have To 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-09-25 | ⏱️ Read time: 12 min read OpenAI’s new o1-preview is way too expensive for how it performs on the results

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📌 VisionTS: Building Superior Forecasting Models from Images 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-09-26 | ⏱️ Read time: 9 min read Leveraging the power of images for time-series forecasting

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📌 Simulate the Challenges of a Circular Economy for Fashion Retail 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-26 | ⏱️ Read time: 17 min read Use data analytics to simulate a circular rental model for fashion retail and understand store…

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📌 MCP in Practice 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-29 | ⏱️ Read time: 14 min read Mapping power, concentration, and usage in the emerging AI developer ecosystem

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📌 I Made My AI Model 84% Smaller and It Got Better, Not Worse 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-29 | ⏱️ Read time: 20 min read The counterintuitive approach to AI optimization that’s changing how we deploy models

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📌 Preparing Video Data for Deep Learning: Introducing Vid Prepper 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-29 | ⏱️ Read time: 13 min read A guide to fast video data preprocessing for machine learning

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📌 Dummy Regressor, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-26 | ⏱️ Read time: 7 min read Naively choosing the best number for all of your prediction

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📌 Working with Embeddings: Closed versus Open Source 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-26 | ⏱️ Read time: 20 min read Using techniques to improve semantic search