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:📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 365 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 329-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 365 obunachiga ega bo‘ldi.
11 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 393 ga, so‘nggi 24 soatda esa 17 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
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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 12 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.
40 365
Obunachilar
+1724 soatlar
+1237 kunlar
+39330 kunlar
Postlar arxiv
40 365
📌 TDS Authors Can Now Edit Their Published Articles
🗂 Category: WRITING
🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read
One of our guiding principles as a publication is that authors’ work remains theirs. This…
40 365
📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-18 | ⏱️ Read time: 7 min read
Learn how machine learning can predict network congestion before it happens
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📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
🗂 Category: COMPUTER VISION
🕒 Date: 2025-07-18 | ⏱️ Read time: 16 min read
A practical approach to instance segmentation using SOLOv2 and TensorFlow
40 365
📌 The Hidden Trap of Fixed and Random Effects
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read
My lesson of how blindly over-controlling for noise can erase the effects you are measuring
40 365
📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-18 | ⏱️ Read time: 19 min read
Let’s observe the matter on the atomic level
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📌 How to Create an LLM Judge That Aligns with Human Labels
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 14 min read
A hands-on guide to building and validating LLM evaluators
40 365
📌 Three Career Tips For Gen-Z Data Professionals
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read
Unsolicited pieces of advice on navigating early career challenges
40 365
📌 Advanced Topic Modeling with LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read
A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic
40 365
📌 Hands‑On with Agents SDK: Your First API‑Calling Agent
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 16 min read
A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK,…
40 365
📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read
Why are there so many hotels named after cities they are not in? Follow along…
40 365
📌 How To Significantly Enhance LLMs by Leveraging Context Engineering
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 11 min read
The benefits and practical aspects of context engineering for LLMs
40 365
📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-22 | ⏱️ Read time: 21 min read
Can large language models learn to reason abstractly from just a few examples? In this…
40 365
📌 Understanding Matrices | Part 3: Matrix Transpose
🗂 Category: MATH
🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read
Visualizing matrix transposition, to make sense of transpose-related formulas.
40 365
📌 What Optimization Terminologies for Linear Programming Really Mean
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-22 | ⏱️ Read time: 11 min read
Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…
40 365
📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-22 | ⏱️ Read time: 6 min read
Using knowledge graphs to handle the unexpected in semantic communication
40 365
📌 A Well-Designed Experiment Can Teach You More Than a Time Machine!
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-22 | ⏱️ Read time: 7 min read
How experimentation is more powerful than knowing counterfactuals
40 365
📌 Things I Wish I Had Known Before Starting ML
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read
Part 1: Data, Sales Pitches, Bugs, and Breakthroughs
40 365
📌 NumPy API on a GPU?
🗂 Category: PROGRAMMING
🕒 Date: 2025-07-22 | ⏱️ Read time: 17 min read
It’s here already from Nvidia and it’s called cuNumeric.
40 365
📌 Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-23 | ⏱️ Read time: 11 min read
Building a tool to interactively visualize the forward pass of any Pytorch model from within…
40 365
📌 How Not to Mislead with Your Data-Driven Story
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-23 | ⏱️ Read time: 22 min read
Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked…
