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 Suriya225 Texnologiyalar & Aralashmalar3 329...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 346 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 329-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 346 obunachiga ega bo‘ldi.

11 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 393 ga, so‘nggi 24 soatda esa 17 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.29% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.74% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 924 marta ko‘riladi; birinchi sutkada odatda 702 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 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 12 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.

40 346

Obunachilar

+1724 soatlar

+1237 kunlar

+39330 kunlar

924

Post ko'rishlar

~ 70224 soatlar

~ 1 07048 soatlar

2.29%

Muloqot nisbati

~ 2

Kuniga postlar

Ads index

beta

Postlar arxiv

40 365

📌 There and Back Again: An AI Career Journey 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-14 | ⏱️ Read time: 7 min read A full circle moment 30 years in the making

40 365

📌 Topic Model Labelling with LLMs 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-14 | ⏱️ Read time: 6 min read Python tutorial for reproducible labeling of cutting-edge topic models with GPT4-o-mini.

40 365

📌 Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-14 | ⏱️ Read time: 7 min read A deep dive into advanced evaluation for data scientists

40 365

📌 The Future of AI Agent Communication with ACP 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-15 | ⏱️ Read time: 17 min read A practical guide to connecting and coordinating multiple AI agents.

40 365

📌 Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-15 | ⏱️ Read time: 4 min read How to save time and boost your models with these two approachable AutoML libraries.

40 365

📌 From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-15 | ⏱️ Read time: 7 min read Using optimal transport to weight what matters most In LLM-generated responses

40 365

📌 Deploy a Streamlit App to AWS 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-15 | ⏱️ Read time: 16 min read Using the Elastic Beanstalk service

40 365

📌 How to Ensure Reliability in LLM Applications 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-15 | ⏱️ Read time: 7 min read Learn how to make your LLM applications more robust

40 365

📌 How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes 🗂 Category: DATA SCIENCE 🕒 Date: 2025-07-15 | ⏱️ Read time: 8 min read When numbers lie — and your metrics mislead you

40 365

📌 Do You Really Need a Foundation Model? 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-16 | ⏱️ Read time: 10 min read LLM or custom model: how should you choose the right solution?

40 365

📌 The Power of Building from Scratch 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-07-16 | ⏱️ Read time: 5 min read Mauro Di Pietro discusses building AI agents with open-source tools, bridging theory and practice, and…

40 365

📌 3 Steps to Context Engineering a Crystal-Clear Project 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-16 | ⏱️ Read time: 7 min read Learn three easy steps for gaining an intelligent picture for any project by using the…

40 365

📌 How to Overlay a Heatmap on a Real Map with Python 🗂 Category: DATA VISUALIZATION 🕒 Date: 2025-07-16 | ⏱️ Read time: 9 min read Visualizing historical tornado trends

40 365

📌 Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-16 | ⏱️ Read time: 11 min read Prompt learning presents a compelling approach for continuous improvement of AI applications

40 365

📌 Midyear 2025 AI Reflection 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-07-16 | ⏱️ Read time: 7 min read Impressions on agentic AI progress and the AI-2027 Jobocalypse scenario

40 365

📌 Your 1M+ Context Window LLM Is Less Powerful Than You Think 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-17 | ⏱️ Read time: 9 min read Why working memory is a more important bottleneck than raw context window size

40 365

📌 Summer Must-Reads: The Data Science Edition 🗂 Category: THE VARIABLE 🕒 Date: 2025-07-17 | ⏱️ Read time: 4 min read Cool off with some engaging, enlightening reads.

40 365

📌 Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-07-17 | ⏱️ Read time: 15 min read A few labels go a long way in anomaly detection

40 365

📌 Estimating Disease Rates Without Diagnosis 🗂 Category: STATISTICS 🕒 Date: 2025-07-17 | ⏱️ Read time: 7 min read Immune genes as predictors of disease

40 365

📌 The Age of Self-Evolving AI Is Here 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-07-17 | ⏱️ Read time: 17 min read How Meta’s latest breakthrough lets models learn, adapt, and improve — all on their own