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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Tarmoq:Machine Learning with Python Suriya227 Texnologiyalar & Aralashmalar3 365...

📈 Telegram kanali Machine Learning analitikasi

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.

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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.

40 193

Obunachilar

+2124 soatlar

+857 kunlar

+35530 kunlar

818

Post ko'rishlar

~ 85124 soatlar

~ 1 13948 soatlar

2.04%

Muloqot nisbati

~ 3

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Postlar arxiv

40 194

📌 Learning to Unlearn: Why Data Scientists and AI Practitioners Should Understand Machine Unlearning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-22 | ⏱️ Read time: 24 min read Explore the intersections between privacy and AI with a guide to removing the impact of…

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📌 SQL User Defined Functions (UDFs) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 11 min read A tutorial on mastering SQL UDFs: categories, use cases, and difference from stored procedures

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📌 Structured State Space Models Visually Explained 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-22 | ⏱️ Read time: 21 min read Part 2 – Towards Mamba State Space Models for Images, Videos and Time Series

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📌 LLM Agents, Text Vectorization, Advanced SQL, and Other Must-Reads by Our Newest Authors 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

40 194

📌 The Floyd-Warshall Algorithm From Graph Theory, Applied to Parsing Molecular Structures 🗂 Category: CHEMISTRY 🕒 Date: 2024-08-22 | ⏱️ Read time: 10 min read Hands-on explanations assisted by simple JavaScript code

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📌 What It Takes To Build a Great Graph 🗂 Category: 🕒 Date: 2024-08-22 | ⏱️ Read time: 8 min read Our world is composed of relationships. Who we know, how we interact, how we transact…

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40 194

📌 Graph RAG – A conceptual introduction 🗂 Category: 🕒 Date: 2024-08-22 | ⏱️ Read time: 10 min read Graph RAG answers the big questions where text embeddings won’t help you.

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📌 A Data Science Leader’s Guide to Ensuring Every Project Drives Business Value 🗂 Category: CAREER ADVICE 🕒 Date: 2024-08-22 | ⏱️ Read time: 9 min read Lessons from someone who manages a team of 8

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📌 Why Does Position-Based Chunking Lead to Poor Performance in RAGs? 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 12 min read How to implement semantic chunking and gain better results.

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📌 Reinforcement Learning, Part 7: Introduction to Value-Function Approximation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-22 | ⏱️ Read time: 13 min read Scaling reinforcement learning from tabular methods to large spaces

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📌 Building an Image Similarity Search Engine with FAISS and CLIP 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-23 | ⏱️ Read time: 6 min read A guided tutorial explaining how to search your image dataset with text or photo queries,…

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📌 Building an Agentic Retrieval-Augmented Generation (RAG) System with IBM Watsonx and Langchain 🗂 Category: 🕒 Date: 2024-08-23 | ⏱️ Read time: 6 min read A quick-start tutorial

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📌 BERT – Intuitively and Exhaustively Explained 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-23 | ⏱️ Read time: 58 min read Baking General Understanding into Language Models

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📌 The Tournament of Reinforcement Learning: DDPG, SAC, PPO, I2A, Decision Transformer 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-23 | ⏱️ Read time: 15 min read Training simulated humanoid robots to fight using five new Reinforcement Learning papers

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📌 Art Guard: Protecting Your Online Images From Generative AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-23 | ⏱️ Read time: 21 min read Steps you can take to prevent bots from scraping and using your art to train…

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📌 An Introduction to Quantum Computers and Quantum Coding 🗂 Category: 🕒 Date: 2024-08-23 | ⏱️ Read time: 18 min read Demystifying the novel world of quantum computing, quantum programming, and quantum algorithms.

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📌 DBSCAN, Explained in 5 Minutes 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-23 | ⏱️ Read time: 5 min read Fastest implementation in python

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📌 Interpreting Weight Regularization In Machine Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-23 | ⏱️ Read time: 9 min read Why do L1 and L2 regularization result in model sparsity and weight shrinkage? What about…

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📌 Bernoulli Naive Bayes, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-24 | ⏱️ Read time: 9 min read Unlocking predictive power through Yes/No probability