Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Machine Learning
Kanalga Telegram’da o‘tish
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📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 040 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 406-o'rinni va Suriya mintaqasida 232-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 040 obunachiga ega bo‘ldi.
22 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 372 ga, so‘nggi 24 soatda esa 2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 1.94% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.16% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 775 marta ko‘riladi; birinchi sutkada odatda 466 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 23 Iyun, 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.
40 040
Obunachilar
+224 soatlar
+237 kunlar
+37230 kunlar
Postlar arxiv
40 040
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📌 A Career in Data Is Not Always a Straight Line, and That’s Okay
🗂 Category: AUTHOR SPOTLIGHTS
🕒 Date: 2026-04-27 | ⏱️ Read time: 9 min read
Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing…
#DataScience #AI #Python
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📌 Comparing Explicit Measures to Calculation Groups in Tabular Models
🗂 Category: DATA MODELING
🕒 Date: 2026-04-27 | ⏱️ Read time: 6 min read
With the advent of UDFs and their combination with calculation groups, I see a lot…
#DataScience #AI #Python
40 040
📌 How Spreadsheets Quietly Cost Supply Chains Millions
🗂 Category: PRODUCT MANAGEMENT
🕒 Date: 2026-04-27 | ⏱️ Read time: 14 min read
A simulation of how a single forecast change moves through five planning teams, and why…
#DataScience #AI #Python
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CVE | Cyber Vulnerabilities Exchange
Group dedicated to sharing and discussing CVEs, zero-days, critical vulnerabilities, exploits, PoCs, and technical analyses of offensive and defensive security.
What you'll find here:
• Newly disclosed CVEs
• Public and private exploits
• Technical analysis and bypasses
• Offensive/defensive security
• Penetration testing and red team discussions
Technical, direct, and straightforward content.
Channel=> https://t.me/cve0day
Think. Break. Secure.
40 040
📌 I Reduced My Pandas Runtime by 95% — Here’s What I Was Doing Wrong
🗂 Category: PROGRAMMING
🕒 Date: 2026-04-26 | ⏱️ Read time: 18 min read
Most slow Pandas code “works”, until it doesn’t. Learn how to spot hidden bottlenecks, avoid…
#DataScience #AI #Python
40 040
📌 Bytes Speak All Languages: Cross-Script Name Retrieval via Contrastive Learning
🗂 Category: DEEP LEARNING
🕒 Date: 2026-04-26 | ⏱️ Read time: 12 min read
Why learn 8 scripts when you can learn 256 bytes?
#DataScience #AI #Python
40 040
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Repost from Machine Learning with Python
GitHub repositories to enhance your Python proficiency:
- Web development with Django — https://github.com/django/django
- Data Science tools — https://github.com/rasbt/python-machine-learning-book
- Algorithmic challenges — https://github.com/TheAlgorithms/Python
- Machine learning recipes — https://github.com/ageron/handson-ml2
- Testing best practices — https://github.com/pytest-dev/pytest
- Automation scripts — https://github.com/soimort/you-get
- Advanced Python concepts — https://github.com/faif/python-patterns
Bookmark and share
https://t.me/CodeProgrammer 🌟
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Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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📌 The Essential Guide to Effectively Summarizing Massive Documents, Part 2
🗂 Category: LLM APPLICATIONS
🕒 Date: 2026-04-25 | ⏱️ Read time: 18 min read
We have the document clusters, and it’s time to unlock their true potential! Let’s explore…
#DataScience #AI #Python
40 040
📌 Causal Inference Is Different in Business
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-25 | ⏱️ Read time: 12 min read
How does decision-gravity dictate this gap?
#DataScience #AI #Python
40 040
Headline: USA vs. IRAN: The Real Story
Three US aircraft carriers are now in the Middle East. Diplomacy is at a breaking point in Islamabad. Are we on the verge of an "everlasting agreement" or total escalation?
Alex Barnicoat News provides the critical breakdown of the 2026 conflict:
Military Analysis: Deep dives into US weaponry and Iranian naval tactics.
Geopolitical Impact: How the blockade is reshaping global trade.
Daily Video News: Quick, hard-hitting updates on "Actually Important News."
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📌 How to Select Variables Robustly in a Scoring Model
🗂 Category: DATA SCIENCE
🕒 Date: 2026-04-24 | ⏱️ Read time: 7 min read
More variables don’t make a better scoring model. Stable variables do. Here’s how to find them.
#DataScience #AI #Python
40 040
📌 How to Improve Claude Code Performance with Automated Testing
🗂 Category: AGENTIC AI
🕒 Date: 2026-04-24 | ⏱️ Read time: 10 min read
Learn how to get the most out of Claude Code
#DataScience #AI #Python
40 040
📌 I Built an AI Pipeline for Kindle Highlights
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-04-24 | ⏱️ Read time: 12 min read
A local, zero-cost project that cleans, structures, and summarizes your reading automatically
#DataScience #AI #Python
40 040
📌 Introduction to Approximate Solution Methods for Reinforcement Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-04-24 | ⏱️ Read time: 9 min read
Learn about function approximation and the different choices for approximation functions
#DataScience #AI #Python
