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 40 208 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 344-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 40 208 obunachiga ega bo‘ldi.

03 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 338 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Jalb etish (ER): Auditoriya o‘rtacha 2.04% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.42% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 822 marta ko‘riladi; birinchi sutkada odatda 973 ta ko‘rish yig‘iladi.
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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 04 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.

40 208

Obunachilar

+924 soatlar

+727 kunlar

+33830 kunlar

822

Post ko'rishlar

~ 97324 soatlar

~ 1 32148 soatlar

2.04%

Muloqot nisbati

~ 3

Kuniga postlar

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Postlar arxiv

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📌 Understanding KL Divergence, Entropy, and Related Concepts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-08 | ⏱️ Read time: 8 min read Important concepts in information theory, machine learning, and statistics

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📌 Nine Rules for Running Rust in the Browser 🗂 Category: PROGRAMMING 🕒 Date: 2024-10-08 | ⏱️ Read time: 25 min read Practical lessons from porting range-set-blaze to WASM

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📌 Graph Neural Networks Part 2. Graph Attention Networks vs. GCNs 🗂 Category: 🕒 Date: 2024-10-08 | ⏱️ Read time: 9 min read A model that pays attention to your graph

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📌 Still Manually Reviewing All User Interactions For Your AI Solutions? 🗂 Category: BUSINESS 🕒 Date: 2024-10-08 | ⏱️ Read time: 7 min read Discover how to use cosine similarity to save hours and streamline your AI systems

40 215

📌 TDS Newsletter: To Better Understand AI, Look Under the Hood 🗂 Category: THE VARIABLE 🕒 Date: 2025-09-25 | ⏱️ Read time: 3 min read AI-powered tools tend to generate extreme reactions: on one side we have the “It’s magic!” and…

40 215

📌 Make the Switch from Software Engineer to ML Engineer 🗂 Category: CAREER ADVICE 🕒 Date: 2024-10-08 | ⏱️ Read time: 9 min read 7 steps that helped me transition from a software engineer to Machine Learning engineer

40 215

📌 How to Improve Model Quality Without Building Larger Models 🗂 Category: 🕒 Date: 2024-10-08 | ⏱️ Read time: 12 min read Going into the Google DeepMind’s “Scaling LLM Test-Time Compute Optimally can be More Effective than…

40 215

📌 A Deeper Dive into Odds Ratios Using Logistic Regression 🗂 Category: STATISTICS 🕒 Date: 2024-10-08 | ⏱️ Read time: 21 min read A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression…

40 215

📌 From Set Transformer to Perceiver Sampler 🗂 Category: DEEP LEARNING 🕒 Date: 2024-10-08 | ⏱️ Read time: 4 min read On multi-modal LLM Flamingo’s vision encoder

40 215

📌 ITT vs LATE: Estimating Causal Effects with IV in Experiments with Imperfect Compliance 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 11 min read Intuition, step-by-step script, and assumptions needed for the use of IV

40 215

📌 Embracing Uncertainty: The Power of Fuzzy Logic in Decision-Making 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 13 min read Exploring how fuzzy logic enhances AI, systems thinking, and real-world applications

40 215

📌 5 AI Projects You Can Build This Weekend (with Python) 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 8 min read From beginner-friendly to advanced

40 215

📌 From Newton to LLM’s 🗂 Category: PHYSICS 🕒 Date: 2024-10-09 | ⏱️ Read time: 17 min read A new approach to AI reasoning optimization

40 215

📌 Mathematics I Look for in Data Scientist Interviews 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 18 min read Let’s rebuild our data science foundation.

40 215

📌 Keep the Gradients Flowing 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 27 min read Optimizing Sparse Neural Networks: Understanding Gradient Flow for Faster Training, and Better Performance in Deep…

40 215

📌 Mastering Sample Size Calculations 🗂 Category: 🕒 Date: 2024-10-09 | ⏱️ Read time: 19 min read A/B Testing, Reject Inference, and How to Get the Right Sample Size for Your Experiments

40 215

📌 The Easiest Way to Learn and Use Python Today 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 9 min read Google Colab and its integrated Generative AI, a powerful combination

40 215

📌 The Most Valuable LLM Dev Skill is Easy to Learn, But Costly to Practice. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-10-09 | ⏱️ Read time: 18 min read Here’s how not to waste your budget on evaluating models and systems.

40 215

📌 Fine-Tune Llama 3.2 for Powerful Performance on Targeted Tasks 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-10-10 | ⏱️ Read time: 13 min read Learn how you can fine-tune Llama3.2, Meta’s most recent Large language model, to achieve powerful…

40 215

📌 Forecasting with NHiTs: Uniting Deep Learning + Signal Processing Theory for Superior Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-10-10 | ⏱️ Read time: 12 min read A high-performance DL model for all forecasting cases