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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 40 193 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 365-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 193 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.

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Postlar arxiv
📌 LLMs, AI Agents, the Economics of Generative AI, and Other August Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29
📌 LLMs, AI Agents, the Economics of Generative AI, and Other August Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 5 min read The stories that resonated the most with our community in the past month

📌 The Essential Guide to Error-Checking and Reviewing Presentations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read
📌 The Essential Guide to Error-Checking and Reviewing Presentations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 7 min read An overlooked skill for Data Scientists (and not only)

📌 How to Create Custom Color Palettes in Matplotlib – Discrete vs. Linear Colormaps, Explained 🗂 Category: DATA SCIENCE 🕒
📌 How to Create Custom Color Palettes in Matplotlib – Discrete vs. Linear Colormaps, Explained 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 6 min read Actionable guide on how to bring custom colors to personalize your charts

📌 The Smarter Way of Using AI in Programming 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 7 min
📌 The Smarter Way of Using AI in Programming 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 7 min read avoid the outdated methods of integrating AI into your coding workflow by going beyond ChatGPT

📌 Stop Manually Sorting Your List In Python If Performance Is Concerned 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ R
📌 Stop Manually Sorting Your List In Python If Performance Is Concerned 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-29 | ⏱️ Read time: 8 min read A sorted collection library that is as fast as C-extensions

📌 Stop Being Data-Driven 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read Why we are fooled by data
📌 Stop Being Data-Driven 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read Why we are fooled by data and how to stop it

📌 How to Build a Genetic Algorithm from Scratch in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 16 m
📌 How to Build a Genetic Algorithm from Scratch in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 16 min read A complete walkthrough on how one can build a Genetic Algorithm from scratch in Python,…

📌 Causal Machine Learning for Customer Retention: a Practical Guide with Python 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-
📌 Causal Machine Learning for Customer Retention: a Practical Guide with Python 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-30 | ⏱️ Read time: 25 min read An accessible guide to leveraging causal machine learning for optimizing client retention strategies

📌 How to Build a Powerful Deep Research System 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10-04 | ⏱️ Read time: 6 min
📌 How to Build a Powerful Deep Research System 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10-04 | ⏱️ Read time: 6 min read Learn how to access vasts amounts of information with your own deep research system

📌 Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-04 | ⏱️ Read tim
📌 Real-Time Intelligence in Microsoft Fabric: The Ultimate Guide 🗂 Category: DATA SCIENCE 🕒 Date: 2025-10-04 | ⏱️ Read time: 21 min read Once upon a time, handling streaming data was considered an avant-garde approach. Since the introduction of relational…

📌 The Power of Pandas Plots: Backends 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 6 min read Create intera
📌 The Power of Pandas Plots: Backends 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 6 min read Create interactive graphics from Pandas effortlessly

📌 Hands On Neural Networks and Time Series, with Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-30 | ⏱️ Read t
📌 Hands On Neural Networks and Time Series, with Python 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 14 min read From the very simple Feed Forward Neural Networks to the majestic transformers: everything you need…

📌 A Comprehensive Introduction to Marketing Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-30 | ⏱️ Read tim
📌 A Comprehensive Introduction to Marketing Data Engineering 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-08-30 | ⏱️ Read time: 21 min read Fundamentals, responsibilities, and challenges

📌 Compressing Large Language Models (LLMs) 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min rea
📌 Compressing Large Language Models (LLMs) 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read Make LLMs 10X smaller without sacrificing performance

Awesome interactive textbook on probability theory and statistics Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works Get it here, I recommend opening it on a desktop https://seeing-theory.brown.edu/ 👉 @DataScienceM

📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 3): Best AI Assistant for Machine Learning 🗂 Category: ARTIFICIAL I
📌 ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 3): Best AI Assistant for Machine Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read How AI can accelerate your ML projects from feature engineering to model training

📌 Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date
📌 Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-30 | ⏱️ Read time: 11 min read A fresh look on our favorite upside-down tree

📌 Navigating the New Types of LLM Agents and Architectures 🗂 Category: 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read My t
📌 Navigating the New Types of LLM Agents and Architectures 🗂 Category: 🕒 Date: 2024-08-30 | ⏱️ Read time: 12 min read My thanks to John Gilhuly for his contributions to this piece If 2023 was the…

📌 Targeting variants for maximum impact 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-30 | ⏱️ Read time: 8 min read How to
📌 Targeting variants for maximum impact 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-30 | ⏱️ Read time: 8 min read How to use causal inference to improve key business metrics Egor Kraev and Alexander Polyakov…

📌 The Ultimate Guide to Vision Transformers 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 8 min r
📌 The Ultimate Guide to Vision Transformers 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 8 min read A comprehensive guide to the Vision Transformer (ViT) that revolutionized computer vision.