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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 40 150 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 364-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

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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 28 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.

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Postlar arxiv
📌 Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-14 | ⏱️
📌 Roadmap to Becoming a Data Scientist, Part 4: Advanced Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2025-02-14 | ⏱️ Read time: 15 min read Introduction Data science is undoubtedly one of the most fascinating fields today. Following significant breakthroughs in…

📌 On-Device Machine Learning in Spatial Computing 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-17 | ⏱️ Read time: 18 min r
📌 On-Device Machine Learning in Spatial Computing 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-02-17 | ⏱️ Read time: 18 min read The landscape of computing is undergoing a profound transformation with the emergence of spatial computing…

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Mining made simple No need to understand DeFi or charts. Buy a miner → get coins → withdraw profit. It’s the easiest way to enter blockchain. ⚡️ Try it now #ad InsideAds

📌 Deep Dive into Anthropic’s Sparse Autoencoders by Hand 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-05-31 | ⏱️ Read ti
📌 Deep Dive into Anthropic’s Sparse Autoencoders by Hand 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-05-31 | ⏱️ Read time: 12 min read Explore the concepts behind the interpretability quest for LLMs

📌 A Deep Dive into In-Context Learning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-05-31 | ⏱️ Read time: 11 min r
📌 A Deep Dive into In-Context Learning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-05-31 | ⏱️ Read time: 11 min read Stepping out of the “comfort zone” – part 2/3 of a deep-dive into domain adaptation…

📌 YOLO – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-05-31 | ⏱️ Read time: 31 min rea
📌 YOLO – Intuitively and Exhaustively Explained 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-05-31 | ⏱️ Read time: 31 min read The genesis of the most widely used object detection models.

📌 AI Use Cases are Fundamentally Different 🗂 Category: ROBOTICS 🕒 Date: 2024-05-31 | ⏱️ Read time: 9 min read How to find
📌 AI Use Cases are Fundamentally Different 🗂 Category: ROBOTICS 🕒 Date: 2024-05-31 | ⏱️ Read time: 9 min read How to find unique use cases for AI and places where moderate AI performance is…

📌 Why You Don’t Need JS to Make 3D plots 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-01 | ⏱️ Read time: 6 min read Visualizin
📌 Why You Don’t Need JS to Make 3D plots 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-01 | ⏱️ Read time: 6 min read Visualizing crime geodata in python

📌 Performance Insights from Sigma Rule Detections in Spark Streaming 🗂 Category: CYBERSECURITY 🕒 Date: 2024-06-01 | ⏱️ Rea
📌 Performance Insights from Sigma Rule Detections in Spark Streaming 🗂 Category: CYBERSECURITY 🕒 Date: 2024-06-01 | ⏱️ Read time: 13 min read Utilizing Sigma rules for anomaly detection in cybersecurity logs: A study on performance optimization

📌 PRISM-Rules in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read A simple python rules-indu
📌 PRISM-Rules in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read A simple python rules-induction system

📌 How I Use ChatGPT As A Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 8 min read
📌 How I Use ChatGPT As A Data Scientist 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 8 min read How ChatGPT improved my productivity as a data scientist

📌 Comparing Country Sizes with GeoPandas 🗂 Category: 🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read How to project, shift,
📌 Comparing Country Sizes with GeoPandas 🗂 Category: 🕒 Date: 2024-06-02 | ⏱️ Read time: 14 min read How to project, shift, and rotate geospatial data

📌 Measuring The Intrinsic Causal Influence Of Your Marketing Campaigns 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-02 | ⏱️ Re
📌 Measuring The Intrinsic Causal Influence Of Your Marketing Campaigns 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-02 | ⏱️ Read time: 11 min read Causal AI, exploring the integration of causal reasoning into machine learning

📌 Linear Attention Is All You Need 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-02 | ⏱️ Read time: 10 min read Self-a
📌 Linear Attention Is All You Need 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2024-06-02 | ⏱️ Read time: 10 min read Self-attention at a fraction of the cost?

📌 ML Engineering 101: A Thorough Explanation of The Error “DataLoader worker (pid(s) xxx) exited… 🗂 Category: DATA SCIENCE
📌 ML Engineering 101: A Thorough Explanation of The Error “DataLoader worker (pid(s) xxx) exited… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-03 | ⏱️ Read time: 6 min read A deep dive into PyTorch DataLoader with Multiprocessing

📌 Optimizing Memory Consumption for Data Analytics Using Python – From 400 to 0.1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06
📌 Optimizing Memory Consumption for Data Analytics Using Python – From 400 to 0.1 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-03 | ⏱️ Read time: 9 min read Reducing the memory consumption of your code means reducing hardware requirements

📌 Bit-LoRA as an application of BitNet and 1.58 bit neural network technologies 🗂 Category: 🕒 Date: 2024-06-03 | ⏱️ Read t
📌 Bit-LoRA as an application of BitNet and 1.58 bit neural network technologies 🗂 Category: 🕒 Date: 2024-06-03 | ⏱️ Read time: 15 min read Abstract: applying ~1bit transformer technology to LoRA adapters allows us to reach comparable performance with…

📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today! 🗂 Category: AGILE 🕒 Date: 2024-06-03 | ⏱️ Read time: 11
📌 The Trap of Sprints: Don’t Be Like Scarlett O’Hara. Think Today! 🗂 Category: AGILE 🕒 Date: 2024-06-03 | ⏱️ Read time: 11 min read Why data scientists should prioritize communication and flexibility in agile projects

📌 A Deep Dive into Fine-Tuning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read Step
📌 A Deep Dive into Fine-Tuning 🗂 Category: NATURAL LANGUAGE PROCESSING 🕒 Date: 2024-06-03 | ⏱️ Read time: 30 min read Stepping out of the “comfort zone” – part 3/3 of a deep-dive into domain adaptation…

📌 The Meaning of Explainability for AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read
📌 The Meaning of Explainability for AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-04 | ⏱️ Read time: 10 min read Do we still care about how our machine learning does what it does?