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

Tarmoq:Machine Learning with Python Suriya228 Texnologiyalar & Aralashmalar3 380...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 151 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 380-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 151 obunachiga ega bo‘ldi.

29 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 380 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.08% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.91% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 837 marta ko‘riladi; birinchi sutkada odatda 766 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 30 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.

40 151

Obunachilar

+324 soatlar

+1157 kunlar

+38030 kunlar

837

Post ko'rishlar

~ 76624 soatlar

~ 1 08948 soatlar

2.08%

Muloqot nisbati

~ 4

Kuniga postlar

Ads index

beta

Postlar arxiv

40 150

🎉 Welcome to Inside Ads! 🚀 Inside Ads – a smart tool for growing and monetizing your Telegram channels. 🔥 Benefits of Inside Ads: ✅ Earn without ad posts – make money from your channel even without publishing ads. ✅ Pay for subscribers, not views – you only pay for real subscribers, not vanity metrics. ✅ Subscriber exchange – attract an audience by exchanging subscribers with other channels. ✅ Automatic ad content creation – generate promotional links and posts with one click. ✅ Supports all channel types – works with private and public channels, as well as groups. ✅ Regular payments – earn and receive your payments consistently and on time. 🚀 Start earning and growing your subscribers today! https://t.me/InsideAds_bot/openRU?startapp=r_148350890

40 150

📌 Towards Generalization on Graphs: From Invariance to Causality 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-18 | ⏱️ Read time: 19 min read This blog post shares recent papers on out-of-distribution generalization on graph-structured data

40 150

📌 A Python Engineer’s Introduction to 3D Gaussian Splatting (Part 3) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-18 | ⏱️ Read time: 9 min read Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D…

40 150

📌 YOLO inference with Docker via API 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-19 | ⏱️ Read time: 16 min read Learn how to orchestrate object detection inference via a REST API with Docker

40 150

📌 Product Quasi-Experimentation: Statistical Techniques When Standard A/B Testing Is Not Possible 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-19 | ⏱️ Read time: 6 min read A guide to the most popular techniques when randomized A/B testing is not possible

40 150

📌 Constrained Sentence Generation Using Gibbs Sampling and BERT 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read A fast and effective approach to generating fluent sentences from given keywords using public pre-trained…

40 150

📌 Evaluating ChatGPT’s Data Analysis Improvements: Interactive Tables and Charts 🗂 Category: CHATGPT 🕒 Date: 2024-07-19 | ⏱️ Read time: 11 min read Is ChatGPT becoming a BI tool?

40 150

📌 Streamlining Object Detection with Metaflow, AWS, and Weights & Biases 🗂 Category: 🕒 Date: 2024-07-19 | ⏱️ Read time: 18 min read How to create a production-grade pipeline for object detection

40 150

📌 Battling Open Book Exams with Open Source LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-19 | ⏱️ Read time: 10 min read In the age where everyone uses ChatGPT for work and school, I am taking advantage…

40 150

📌 Understanding Positional Embeddings in Transformers: From Absolute to Rotary 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-20 | ⏱️ Read time: 19 min read A deep dive into absolute, relative, and rotary positional embeddings with code examples

40 150

📌 Three Mind-Blowing Ideas in Physics: The Stationary Action Principle, Lorentz Transformations, and… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 31 min read How mathematical innovations yield increasingly more accurate models of the physical world

40 150

📌 Counterfactuals in Language AI 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-23 | ⏱️ Read time: 34 min read with open source language models and LLMs

40 150

📌 Line By Line, Let’s Reproduce GPT-2: Section 1 🗂 Category: 🕒 Date: 2024-07-23 | ⏱️ Read time: 26 min read This blog post will go line-by-line through the code in Section 1 of Andrej Karpathy’s…

40 150

📌 I Used to Hate Overfitting, But Now I’m Grokking It 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 9 min read The surprising generalisation beyond overfitting

40 150

📌 Summer Olympic Games Through the Lens of Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 13 min read Using Python and Wikipedia to draw geographical and network maps of the medal-winning countries.

40 150

📌 From Ephemeral to Persistence with LangChain: Building Long-Term Memory in Chatbots 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read A detailed walkthrough on transforming simple chatbots into sophisticated AI assistants with long-term memory and…

40 150

📌 Evolution of Data Science: New Age Skills for the Modern End-to-End Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 27 min read From Python scripting to data engineering, MLOps, and GenAI

40 150

📌 Organizations’ Machine Learning Investment Is (or Should Be) Incremental 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-23 | ⏱️ Read time: 8 min read Embedding ML systems into production is still a hard thing to do (for most companies)

40 150

📌 Monocular Depth Estimation with Depth Anything V2 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-24 | ⏱️ Read time: 11 min read How do neural networks learn to estimate depth from 2D images?

40 150

Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades and artifacts drops, and convert progress into PAD tokens. Start early this season to grab higher multipliers and leaderboard rewards. Start now! #ad InsideAds