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 40 145 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 375-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 40 145 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 378 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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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”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 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.

40 145

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40 146

🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs 🗓️ 17 Oct 2025 📚 AI News & Trends The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ... #QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

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📌 How I Built an LLM-Based Game from Scratch 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read Part I: Game concepts and Causal Graphs for LLMs

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📌 Optimize Production with R - Part I 🗂 Category: 🕒 Date: 2024-06-11 | ⏱️ Read time: 8 min read An introduction to linear programming with R

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📌 Beyond FOMO – Keeping up to date in AI 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-11 | ⏱️ Read time: 9 min read Don’t get stressed but enjoy the journey.

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📌 Multi-Head Attention – Formally Explained and Defined 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-11 | ⏱️ Read time: 10 min read A comprehensive and detailed formalization of multi-head attention.

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📌 How to Maximize Your Impact as a Data Scientist 🗂 Category: ANALYTICS 🕒 Date: 2024-06-11 | ⏱️ Read time: 13 min read Actionable advice to accelerate your career

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📌 Key Roles in a Fraud Prediction project with Machine Learning 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-11 | ⏱️ Read time: 6 min read What type of roles are involved in developing a ML model for fraud prediction?

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📌 An Open Data-Driven Approach to Optimising Healthcare Facility Locations Using Python 🗂 Category: 🕒 Date: 2024-06-11 | ⏱️ Read time: 15 min read A tutorial in Python with an open data stack

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📌 MLOps – Data Validation with PyTest 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-11 | ⏱️ Read time: 12 min read Run deterministic and non-deterministic tests to validate your dataset

40 146

📌 ASA’s Caution: Rethinking How We Use p-Values in Research 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-11 | ⏱️ Read time: 9 min read Understanding the ASA’s statement to enhance your data science practices

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📌 Deep Learning Illustrated, Part 4: Recurrent Neural Networks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read An illustrated and intuitive guide on the inner workings of an RNN and the Softmax…

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📌 Spatial Index: Grid Systems 🗂 Category: DATABASE DESIGN 🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read Grid Systems in Spatial Indexing using GeoHash and Google S2

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📌 The Math Behind KAN – Kolmogorov-Arnold Networks 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 15 min read A new alternative to the classic Multi-Layer Perceptron is out. Why is it more accurate…

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📌 How to Pivot Tables in SQL 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read A comprehensive guide to creating pivot tables in SQL for enhanced data analysis

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📌 Model Interpretability Using Credit Card Fraud Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-12 | ⏱️ Read time: 20 min read Why model interpretability is important

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📌 Simplifying the Python Code for Data Engineering Projects 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-06-12 | ⏱️ Read time: 12 min read Python tricks and techniques for data ingestion, validation, processing, and testing: a practical walkthrough

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📌 How to Evaluate Retrieval Quality in RAG Pipelines: Precision@k, Recall@k, and F1@k 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-10-16 | ⏱️ Read time: 18 min read In my previous posts, I have walked you through putting together a very basic RAG…

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📌 A Beginner’s Guide to Robotics with Python 🗂 Category: ROBOTICS 🕒 Date: 2025-10-16 | ⏱️ Read time: 9 min read Build 3D simulations with PyBullet

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📌 Stop Feeling Lost : How to Master ML System Design 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-10-16 | ⏱️ Read time: 6 min read What machine learning system design is and how to prepare for it

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📌 Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-10-16 | ⏱️ Read time: 11 min read Applying calculus fundamentals to computer vision for edge detection