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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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Tarmoq:📈 Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 265 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 343-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 265 obunachiga ega bo‘ldi.
06 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 336 ga, so‘nggi 24 soatda esa -4 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 07 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.
40 265
Obunachilar
-424 soatlar
+917 kunlar
+33630 kunlar
Postlar arxiv
40 265
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40 265
📌 Statistical Learnability of Strategic Linear Classifiers: A Proof Walkthrough
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-08 | ⏱️ Read time: 19 min read
With the help of an intricate geometric construction, we can prove that instance-wise cost functions…
40 265
📌 Advanced SQL Techniques for Unstructured Data Handling
🗂 Category: DATA SCIENCE
🕒 Date: 2025-01-08 | ⏱️ Read time: 7 min read
Everything you need to know to get started with text mining
40 265
📌 Missing Data in Time-Series? Machine Learning Techniques (Part 2)
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-01-08 | ⏱️ Read time: 12 min read
Using Clustering Algorithms to Handle Missing Time-Series Data
40 265
📌 Speed Up PyTorch With Custom Kernels. But It Gets Progressively Darker
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-01-09 | ⏱️ Read time: 5 min read
We’ll begin with torch.compile, move on to writing a custom Triton kernel, and finally dive…
40 265
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40 265
📌 Jingle Bells and Statistical Tests
🗂 Category: STATISTICS
🕒 Date: 2024-12-25 | ⏱️ Read time: 8 min read
Data Types, Hypotheses and Statistical Tests That Fit Them with Festive Christmas Market Examples
40 265
📌 Understanding When and How to Implement FastAPI Middleware (Examples and Use Cases)
🗂 Category: DATA SCIENCE
🕒 Date: 2024-12-25 | ⏱️ Read time: 4 min read
Supercharge Your FastAPI with Middleware: Practical Use Cases and Examples
40 265
📌 Training LLM, from Scratch, in Rust
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-12-26 | ⏱️ Read time: 16 min read
In this companion article, I’ll show my implementation for training from scratch a GPT-like model,…
40 265
📌 Calculating a linear extrapolation (or Trend) in DAX
🗂 Category:
🕒 Date: 2024-12-26 | ⏱️ Read time: 10 min read
In DAX there is no built-in method to calculate a Trend. Therefore we must do…
40 265
📌 Your Company Needs Small Language Models
🗂 Category: CHATGPT
🕒 Date: 2024-12-26 | ⏱️ Read time: 15 min read
When specialized models outperform general-purpose models
40 265
📌 Linearizing Attention
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2024-12-26 | ⏱️ Read time: 8 min read
Breaking the Quadratic Barrier: Modern Alternatives to Softmax Attention
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📌 How Neural Networks Learn: A Probabilistic Viewpoint
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-12-26 | ⏱️ Read time: 8 min read
Understanding Loss Functions in Training Neural Networks
40 265
📌 Track Computer Vision Experiments with MLflow
🗂 Category:
🕒 Date: 2024-12-26 | ⏱️ Read time: 10 min read
Discover how to set up an efficient MLflow environment to track your experiments, compare and…
40 265
📌 Lessons from COVID-19: Why Probability Distributions Matter
🗂 Category: COVID-19
🕒 Date: 2024-12-27 | ⏱️ Read time: 13 min read
Understanding Distributions with Extremes: Probability for Data Science Series (END)
40 265
📌 Understanding the Optimization Process Pipeline in Linear Programming
🗂 Category:
🕒 Date: 2024-12-27 | ⏱️ Read time: 8 min read
An introduction to the backend and frontend processes in linear programming, including the mathematical programming…
40 265
📌 Master Bots Before Starting with AI Agents: Simple Steps to Create a Mastodon Bot with Python
🗂 Category: PROGRAMMING
🕒 Date: 2024-12-27 | ⏱️ Read time: 13 min read
I recently published a post on Mastodon that was shared by six other accounts within…
40 265
📌 Measuring Cross-Product Adoption Using dbt_set_similarity
🗂 Category: SQL
🕒 Date: 2024-12-28 | ⏱️ Read time: 5 min read
Enhancing cross-product insights within dbt workflows
40 265
📌 Deep Dive into Multithreading, Multiprocessing, and Asyncio
🗂 Category:
🕒 Date: 2024-12-28 | ⏱️ Read time: 10 min read
How to choose the right concurrency model
40 265
📌 Superposition: What Makes it Difficult to Explain Neural Network
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-12-29 | ⏱️ Read time: 7 min read
When there are more features than model dimensions
