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:📈 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.
- 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 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
📌 Influential Time-Series Forecasting Papers of 2023-2024: Part 1
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 16 min read
Exploring the latest advancements in time series
40 332
📌 Preparing PDFs for RAGs
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 5 min read
I created a graph storage from dozens of annual reports (with tables)
40 332
📌 A Practical Exploration of Sora – Intuitively and Exhaustively Explained
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read
A new cutting edge video generation tool, and the theory behind it
40 332
📌 Where to Start when Data is Limited: A Guide
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read
Overcome small data constraints & ambitious performance requirements-leveraging modern ML to surpass conventional methods.
40 332
📌 My Experience Switching From Power BI to Looker (as a Senior Data Analyst)
🗂 Category: MICROSOFT
🕒 Date: 2025-01-17 | ⏱️ Read time: 17 min read
What you need to know before you switch from Power BI to Looker.
40 332
📌 Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach
🗂 Category: DATA VISUALIZATION
🕒 Date: 2025-01-18 | ⏱️ Read time: 13 min read
Analyzing historical wildfire trends in Canada with public data
40 332
📌 Modern Data And Application Engineering Breaks the Loss of Business Context
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-18 | ⏱️ Read time: 16 min read
Here’s how your data retains its business relevance as it travels through your enterprise
40 332
📌 How to Log Your Data with MLflow
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-19 | ⏱️ Read time: 12 min read
Mastering data logging in MLOps for your AI workflow
40 332
📌 Zero-Shot Player Tracking in Tennis with Kalman Filtering
🗂 Category:
🕒 Date: 2025-01-19 | ⏱️ Read time: 10 min read
Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
40 332
📌 The Concepts Data Professionals Should Know in 2025: Part 1
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-01-19 | ⏱️ Read time: 14 min read
From Data Lakehouses to Event-Driven Architecture – Master 12 data concepts and turn them into…
40 332
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 1)
🗂 Category:
🕒 Date: 2025-01-20 | ⏱️ Read time: 19 min read
Microservices Architecture and Local Development
40 332
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 2)
🗂 Category:
🕒 Date: 2025-01-20 | ⏱️ Read time: 20 min read
Cloud Deployment and Scaling
40 332
📌 The Concepts Data Professionals Should Know in 2025: Part 2
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read
From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…
40 332
📌 Neural Networks for Time-Series Imputation: Tackling Missing Data
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
Part 3: Discover how a simple Keras sequential model can be effective
40 332
📌 Human Minds and Machine Learning Models
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 14 min read
Exploring the parallels and differences between psychology and machine learning
40 332
📌 How to Utilize ModernBERT and Synthetic Data for Robust Text Classification
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 10 min read
Learn how to fine-tune ModernBERT and create augmentations of text samples
40 332
📌 How to Evaluate LLM Summarization
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-22 | ⏱️ Read time: 18 min read
A practical and effective guide for evaluating AI summaries
40 332
📌 Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise
40 332
📌 Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems
🗂 Category:
🕒 Date: 2025-01-22 | ⏱️ Read time: 24 min read
How natural systems fundamental laws help explain AI’s unexpected abilities
40 332
📌 Harmonizing and Pooling Datasets for Health Research in R
🗂 Category: CODING
🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read
R code to extract data from unique datasets and combine them in one harmonized dataset…
