uz
Feedback
Machine Learning

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

📈 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
Postlar arxiv
📌 Can AI Agents Do Your Day-to-Day Tasks on Apps? 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-28 | ⏱️ Read time: 9 m
📌 Can AI Agents Do Your Day-to-Day Tasks on Apps? 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-28 | ⏱️ Read time: 9 min read Benchmarking coding agents in a world of apps and people

📌 How to Create an LLM-Powered app to Convert Text to Presentation Slides: GenSlide – A Step-by-step… 🗂 Category: MACHINE L
📌 How to Create an LLM-Powered app to Convert Text to Presentation Slides: GenSlide – A Step-by-step… 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read Create a simple yet powerful application that uses LLMs to convert your written content to…

📌 Does Data-Driven Storytelling Need to Be Objective? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-29 | ⏱️ Read time: 14
📌 Does Data-Driven Storytelling Need to Be Objective? 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read Striking the balance between efficiency and engagement of your data-driven stories

📌 Was Michael Scott the World’s Best Boss? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Sentime
📌 Was Michael Scott the World’s Best Boss? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Sentiment analysis of ‘The Office’ TV series using SchrutePy, NLTK and Hugging Face Transformers

📌 A Simple Regularization for Your GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read In 201
📌 A Simple Regularization for Your GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read In 2018, I had the privilege of orally presenting my paper at the AAAI conference.…

📌 You Didn’t Conduct an A/B Test. You Can Still Simulate One Retrospectively. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29
📌 You Didn’t Conduct an A/B Test. You Can Still Simulate One Retrospectively. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 17 min read Modeling a synthetic (but high quality) control group as a baseline to infer whether the…

📌 Maximize Savings on Your Unused Fabric Capacities 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min
📌 Maximize Savings on Your Unused Fabric Capacities 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read Automate your Microsoft Fabric capacity state with Azure Logic Apps Disclaimer: This post will not…

📌 Fine-Tune Llama 3.1 Ultra-Efficiently with Unsloth 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-29 | ⏱️ Read time:
📌 Fine-Tune Llama 3.1 Ultra-Efficiently with Unsloth 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read A beginner’s guide to state-of-the-art supervised fine-tuning

📌 Isochrones in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read Highlighting walkability are
📌 Isochrones in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read Highlighting walkability areas in Python

📌 Python Set Is Way Faster Than List, True Or False? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 6 min rea
📌 Python Set Is Way Faster Than List, True Or False? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 6 min read Comprehensive performance comparison and discussion around data structure

📌 Hands on Career Path Modelling Using Markov Chain, with Python 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-29 | ⏱️ Read ti
📌 Hands on Career Path Modelling Using Markov Chain, with Python 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-29 | ⏱️ Read time: 14 min read This is how I used basic probability to simulate career development

📌 Navigating Data Science: B2C vs. B2B Analytics 🗂 Category: BUSINESS 🕒 Date: 2024-07-29 | ⏱️ Read time: 12 min read How c
📌 Navigating Data Science: B2C vs. B2B Analytics 🗂 Category: BUSINESS 🕒 Date: 2024-07-29 | ⏱️ Read time: 12 min read How customer types shape data science roles and methodologies

Missed the last big airdrop? Don’t repeat it. Padma turns grinding into a clear loop: finish daily quests, unlock upgrades an
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

📌 Stable and fast randomization using hash spaces 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 8 min read G
📌 Stable and fast randomization using hash spaces 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 8 min read Generate consistent assignments on the fly across different implementation environments

📌 Visualizing 3D Spatial Data With Pydeck 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read How to cr
📌 Visualizing 3D Spatial Data With Pydeck 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 4 min read How to create building model maps in Python

📌 How to Stand Out in Your Data Scientist Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read
📌 How to Stand Out in Your Data Scientist Interview 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-29 | ⏱️ Read time: 9 min read A tip from my experience hiring Data Scientists, which even seasoned professionals aren’t aware of

📌 Deploying dbt Projects at Scale on Google Cloud 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 13 min r
📌 Deploying dbt Projects at Scale on Google Cloud 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-29 | ⏱️ Read time: 13 min read Containerising and running dbt projects with Artifact Registry, Cloud Composer, GitHub Actions and dbt-airflow

📌 A Practical Guide to Contrastive Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-30 | ⏱️ Read time: 10 min read How t
📌 A Practical Guide to Contrastive Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-30 | ⏱️ Read time: 10 min read How to build your very first SimSiam model with FashionMNIST

📌 Data Warehouse, Redefined 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read Rethinking data war
📌 Data Warehouse, Redefined 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read Rethinking data warehousing: Why redefinition is necessary even beyond Modern Data Warehouse (MDW) and Lakehouse…

📌 Can Generative AI Lead to AI Collapse? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read
📌 Can Generative AI Lead to AI Collapse? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-30 | ⏱️ Read time: 9 min read AI eating its own tail: the risk of model collapse in generative systems