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:📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 323 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 332-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 323 obunachiga ega bo‘ldi.
09 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 378 ga, so‘nggi 24 soatda esa 30 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.23% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.95% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 897 marta ko‘riladi; birinchi sutkada odatda 788 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
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📝 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 10 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.
40 323
Obunachilar
+3024 soatlar
+1067 kunlar
+37830 kunlar
Postlar arxiv
40 332
📌 Unlock the Power of ROC Curves: Intuitive Insights for Better Model Evaluation
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-08 | ⏱️ Read time: 8 min read
Go beyond the definitions: grasp the real meaning of AUC and ROC analysis for practical…
40 332
📌 A Data Scientist’s Guide to Docker Containers
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-08 | ⏱️ Read time: 11 min read
How to enable your ML model to run anywhere
40 332
📌 Mining Rules from Data
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-09 | ⏱️ Read time: 20 min read
Using decision trees for quick segmentation
40 332
📌 Time Series Forecasting Made Simple (Part 1): Decomposition and Baseline Models
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-09 | ⏱️ Read time: 12 min read
Learn the intuition behind time series decomposition, additive vs. multiplicative models and build your first…
40 332
📌 Why CatBoost Works So Well: The Engineering Behind the Magic
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-04-09 | ⏱️ Read time: 10 min read
CatBoost stands out by directly tackling a long-standing challenge in gradient boosting—how to handle categorical…
40 332
📌 Deb8flow: Orchestrating Autonomous AI Debates with LangGraph and GPT-4o
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-10 | ⏱️ Read time: 29 min read
Inside Deb8flow: Real-time AI debates with LangGraph and GPT-4o
40 332
📌 Ivory Tower Notes: The Problem
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-10 | ⏱️ Read time: 12 min read
When a data science problem is “the” problem
40 332
📌 How to Measure Real Model Accuracy When Labels Are Noisy
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-10 | ⏱️ Read time: 5 min read
The math behind “true” accuracy and error correlation
40 332
📌 The Invisible Revolution: How Vectors Are (Re)defining Business Success
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-10 | ⏱️ Read time: 26 min read
The hidden force behind AI is powering the next wave of business transformation
40 332
📌 The What, How, and Why of Agentic AI
🗂 Category: THE VARIABLE
🕒 Date: 2025-04-10 | ⏱️ Read time: 3 min read
This week, we tackle the nitty-gritty details of working with agentic AI.
40 332
📌 The Basis of Cognitive Complexity: Teaching CNNs to See Connections
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-11 | ⏱️ Read time: 9 min read
Transforming CNNs: From task-specific learning to abstract generalization
40 332
📌 Are You Sure Your Posterior Makes Sense?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-11 | ⏱️ Read time: 26 min read
A detailed guide on how to use diagnostics to evaluate the performance of MCMC samplers
40 332
📌 Learnings from a Machine Learning Engineer — Part 6: The Human Side
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-11 | ⏱️ Read time: 16 min read
Practical advice for the humans involved with machine learning
40 332
📌 Sesame Speech Model: How This Viral AI Model Generates Human-Like Speech
🗂 Category: CONVERSATIONAL AI
🕒 Date: 2025-04-11 | ⏱️ Read time: 9 min read
A deep dive into residual vector quantizers, conversational speech AI, and talkative transformers.
40 332
📌 Layers of the AI Stack, Explained Simply
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-14 | ⏱️ Read time: 14 min read
And why I decided to work at the application layer
40 332
📌 An LLM-Based Workflow for Automated Tabular Data Validation
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-14 | ⏱️ Read time: 12 min read
Clean data, clear insights: detect and correct data quality issues without manual intervention.
40 332
📌 Plotly’s AI Tools Are Redefining Data Science Workflows
🗂 Category: SPONSORED CONTENT
🕒 Date: 2025-04-15 | ⏱️ Read time: 8 min read
How Plotly’s AI-powered tools are transforming data science workflows with faster development, smarter insights, and…
40 332
📌 An Unbiased Review of Snowflake’s Document AI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-04-15 | ⏱️ Read time: 8 min read
Or, how we spared a human from manually inspecting 10,000 flu shot documents.
40 332
📌 When Predictors Collide: Mastering VIF in Multicollinear Regression
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-16 | ⏱️ Read time: 11 min read
Explore how the Variance Inflation Factor helps detect and manage multicollinearity in your regression models.
40 332
📌 The Good-Enough Truth
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-17 | ⏱️ Read time: 7 min read
Lies, damned lies, and LLMs
