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
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Tarmoq:📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 373 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 327-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 373 obunachiga ega bo‘ldi.
12 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 399 ga, so‘nggi 24 soatda esa 24 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
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- Jalb etish (ER): Auditoriya o‘rtacha 2.42% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
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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 13 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.
40 373
Obunachilar
+2424 soatlar
+1257 kunlar
+39930 kunlar
Postlar arxiv
40 373
📌 Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-25 | ⏱️ Read time: 24 min read
An Open Letter to the Scientific Community
40 373
📌 How to Benchmark Classical Machine Learning Workloads on Google Cloud
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-25 | ⏱️ Read time: 8 min read
Harnessing CPUs for Practical, Cost-Effective Machine Learning
40 373
📌 Why Your Prompts Don’t Belong in Git
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-25 | ⏱️ Read time: 5 min read
The hidden cost of storing prompts in your source code
40 373
📌 LLM Monitoring and Observability: Hands-on with Langfuse
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-25 | ⏱️ Read time: 22 min read
Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up…
40 373
📌 Google’s URL Context Grounding: Another Nail in RAG’s Coffin?
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-26 | ⏱️ Read time: 13 min read
Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released…
40 373
📌 Using Google’s LangExtract and Gemma for Structured Data Extraction
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-26 | ⏱️ Read time: 9 min read
Extracting structured information effectively and accurately from long unstructured text with LangExtract and LLMs
40 373
📌 Plato’s Cave and the Shadows of Data
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-26 | ⏱️ Read time: 4 min read
On truth, illusion, and the limits of what data can reveal
40 373
📌 How to Develop Powerful Internal LLM Benchmarks
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-26 | ⏱️ Read time: 7 min read
Learn how to compare LLMs using your own interal benchmark
40 373
📌 The Math You Need to Pan and Tilt 360° Images
🗂 Category: MATH
🕒 Date: 2025-08-27 | ⏱️ Read time: 12 min read
Panning a spherical image is just a horizontal roll, but tilting it vertically is much…
40 373
📌 A Brief History of GPT Through Papers
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-27 | ⏱️ Read time: 16 min read
Language models are becoming really good. But where did they come from?
40 373
📌 Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-27 | ⏱️ Read time: 11 min read
An intuitive guide to stationarity in a time series
40 373
📌 Everything I Studied to Become a Machine Learning Engineer (No CS Background)
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-27 | ⏱️ Read time: 9 min read
The books, courses, and resources I used in my journey.
40 373
📌 Get AI-Ready: How to Prepare for a World of Agentic AI as Tech Professionals
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-27 | ⏱️ Read time: 6 min read
Explore how Agentic AI is reshaping the tech careers, from data to decision-making, and how…
40 373
📌 Air for Tomorrow: Why Openness in Air Quality Research and Implementation Matters for Global Equity
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-27 | ⏱️ Read time: 10 min read
Understand how open source can help you unravel air quality
40 373
📌 August Must-Reads: LLM Costs, Research Agents, and More
🗂 Category: THE VARIABLE
🕒 Date: 2025-08-28 | ⏱️ Read time: 2 min read
Our most-read and -shared stories of the past month
40 373
📌 A Visual Guide to Tuning Decision-Tree Hyperparameters
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-28 | ⏱️ Read time: 11 min read
How hyperparameter tuning visually changes decision trees
40 373
📌 Graph Coloring for Data Science: A Comprehensive Guide
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-28 | ⏱️ Read time: 11 min read
From theoretical puzzles to practical applications
40 373
📌 Stepwise Selection Made Simple: Improve Your Regression Models in Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-28 | ⏱️ Read time: 21 min read
Dimensionality reduction in linear regression: classical stepwise methods and a Python application on real-world data
40 373
📌 Implementing the Hangman Game in Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-08-28 | ⏱️ Read time: 11 min read
A beginner-friendly project to understand variables, loops, and conditions in Python
40 373
📌 How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read
From VOC to JSON: Importing pre-annotations made simple
