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Machine Learning

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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Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 191 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 381-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 191 obunachiga ega bo‘ldi.

01 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 355 ga, so‘nggi 24 soatda esa 21 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.04% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 818 marta ko‘riladi; birinchi sutkada odatda 851 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 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 02 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.

40 191
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Postlar arxiv
📌 Structured Outputs and How to Use Them 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read
📌 Structured Outputs and How to Use Them 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read Building robustness and determinism in LLM applications

📌 Improving Code Quality During Data Transformation with Polars 🗂 Category: 🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read
📌 Improving Code Quality During Data Transformation with Polars 🗂 Category: 🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read Optimize your data workflows with Polars by improving code quality and refining transformations with these…

📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU 🗂 Category: 🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read I
📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU 🗂 Category: 🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read In this post I will explain how to run a state-of-the-art 7B parameter LLM based…

📌 Algorithm-Agnostic Model Building with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min rea
📌 Algorithm-Agnostic Model Building with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min read A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc

📌 Data Scaling 101: Standardization and Min-Max Scaling Explained 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-10 | ⏱️ Rea
📌 Data Scaling 101: Standardization and Min-Max Scaling Explained 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-10 | ⏱️ Read time: 5 min read When to use MinMaxScaler vs StandardScaler vs something else

📌 Which Regression technique should you use? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min
📌 Which Regression technique should you use? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min read Here’s a taxonomy of what is the best regression technique based on your specific dataset

📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-10 | ⏱️ Rea
📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-10 | ⏱️ Read time: 19 min read Perspective on Performance Optimisation and Data Quality

📌 Introduction to Support Vector Machines - Motivation and Basics 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-10 | ⏱️ Read ti
📌 Introduction to Support Vector Machines - Motivation and Basics 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-10 | ⏱️ Read time: 8 min read Learn basic concepts that make Support Vector Machine a powerful linear classifier

📌 Accelerating AI/ML Model Training with Custom Operators 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-11 | ⏱️ Read time:
📌 Accelerating AI/ML Model Training with Custom Operators 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-11 | ⏱️ Read time: 18 min read On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…

📌 Top Career Websites for Data Engineers 🗂 Category: ANALYTICS 🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read How to find f
📌 Top Career Websites for Data Engineers 🗂 Category: ANALYTICS 🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read How to find fantastic remote jobs and get hired

What if every notification meant free money? Kittu X Earning reveals secret hacks, daily loot, and real ways to grow your ear
What if every notification meant free money? Kittu X Earning reveals secret hacks, daily loot, and real ways to grow your earning game. Ready to spot the trick that others always miss? Don’t let easy cash slip by — hit join and become part of the earning empire today! Timing matters. Start earning now ➔ Kittu X Earning 💸 #ad InsideAds

📌 How to practice data analyst interviews with AI 🗂 Category: 🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read Using LLMs to
📌 How to practice data analyst interviews with AI 🗂 Category: 🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read Using LLMs to generate synthetic data and code

📌 AI Agents – From Concepts to Practical Implementation in Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12 |
📌 AI Agents – From Concepts to Practical Implementation in Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12 | ⏱️ Read time: 12 min read This will change the way you think about AI and its capabilities

📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-0
📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12 | ⏱️ Read time: 18 min read Breaking the problem solves half of it. Chaining them makes it even better.

📌 The Poisson Bootstrap 🗂 Category: STATISTICS 🕒 Date: 2024-08-12 | ⏱️ Read time: 10 min read Bootstrapping over large dat
📌 The Poisson Bootstrap 🗂 Category: STATISTICS 🕒 Date: 2024-08-12 | ⏱️ Read time: 10 min read Bootstrapping over large datasets

📌 New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks 🗂 Category: ARTIFICIAL INTEL
📌 New Approach for Training Physical (as Opposed to Computer-Based) Artificial Neural Networks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read Neural networks built from light waves could allow for much more versatile, scalable, and energy-efficient…

📌 LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 202
📌 LLM-Powered Parsing and Analysis of Semi-Structured & Structured Documents 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-08-12 | ⏱️ Read time: 20 min read This article shows how to extract desired or key information from semi-structured or unstructured information…

Already run a farm? Diversify: keep the GPUs for what they do best and add NFT mining to smooth cash flow. Padma’s loop is si
Already run a farm? Diversify: keep the GPUs for what they do best and add NFT mining to smooth cash flow. Padma’s loop is simple — quests, mints, and staking — with predictable reward windows and clear stats from day one. Start now! #ad InsideAds

Ever wondered why one sip of wine can transport you to a hidden corner of the world? Unlock the secrets behind legendary bott
Ever wondered why one sip of wine can transport you to a hidden corner of the world? Unlock the secrets behind legendary bottles, rare grape finds, and iconic regions — all explained without snobbery, just pure passion. Taste history, culture, and discovery in every post at this spot. Pour yourself a glass of knowledge and join the club now — the next great story is waiting! #ad InsideAds

📌 My Honest Advice for Someone Who Wants to Become a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12
📌 My Honest Advice for Someone Who Wants to Become a Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-12 | ⏱️ Read time: 7 min read What I wish someone would tell me before studying data science