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 40 373 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 327-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 40 373 obunachiga ega bo‘ldi.
12 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 399 ga, so‘nggi 24 soatda esa 24 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 13 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.
40 373
Obunachilar
+2424 soatlar
+1257 kunlar
+39930 kunlar
Postlar arxiv
40 373
📌 Introducing Google’s LangExtract tool
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-11 | ⏱️ Read time: 12 min read
Do RAG without doing RAG with this powerful new NLP and data extraction library
40 373
📌 Estimating from No Data: Deriving a Continuous Score from Categories
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-11 | ⏱️ Read time: 13 min read
A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when…
40 373
📌 Fine-Tune Your Topic Modeling Workflow with BERTopic
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-12 | ⏱️ Read time: 7 min read
Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results
40 373
📌 A Refined Training Recipe for Fine-Grained Visual Classification
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-12 | ⏱️ Read time: 17 min read
How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category
40 373
📌 Coconut: A Framework for Latent Reasoning in LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-12 | ⏱️ Read time: 12 min read
Explaining Coconut (Training Large Language Models to Reason in a Continuous Latent Space) in simple…
40 373
📌 Model Predictive Control Basics
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-12 | ⏱️ Read time: 9 min read
A hands-on tutorial with Python and CasADi
40 373
📌 Reducing Time to Value for Data Science Projects: Part 4
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-12 | ⏱️ Read time: 11 min read
Embrace your inner software developer
40 373
📌 A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?
🗂 Category: MATH
🕒 Date: 2025-08-13 | ⏱️ Read time: 21 min read
Since the way we manipulate high-dimensional vectors is primarily matrix multiplication, it isn’t a stretch…
40 373
📌 Tips for Setting Expectations in AI Projects
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-08-13 | ⏱️ Read time: 8 min read
If you want your AI project to succeed, mastering expectation management comes first. When working…
40 373
📌 Data Mesh Diaries: Realities from Early Adopters
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-08-13 | ⏱️ Read time: 7 min read
Early-adopter realities gathered from real data mesh implementations
40 373
📌 How to Use LLMs for Powerful Automatic Evaluations
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-13 | ⏱️ Read time: 7 min read
A beginner-friendly introduction to LLM-as-a-Judge
40 373
📌 “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“
🗂 Category: AUTHOR SPOTLIGHTS
🕒 Date: 2025-08-14 | ⏱️ Read time: 8 min read
Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate ML…
40 373
📌 What Does “Following Best Practices” Mean in the Age of AI?
🗂 Category: THE VARIABLE
🕒 Date: 2025-08-14 | ⏱️ Read time: 3 min read
How data and ML practitioners should navigate a rapidly changing landscape
40 373
📌 LangGraph 101: Let’s Build A Deep Research Agent
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-14 | ⏱️ Read time: 32 min read
Learn LangGraph fundamentals from Google’s open-source full-stack implementation
40 373
📌 How to Create Powerful LLM Applications with Context Engineering
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read
Improve your LLM by optimizing its context
40 373
📌 How to Correctly Apply Limits on the Result in DAX (and SQL)
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-18 | ⏱️ Read time: 8 min read
What if the output of a measure mustn’t be above a specific limit? How can…
40 373
📌 Maximizing AI/ML Model Performance with PyTorch Compilation
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-08-18 | ⏱️ Read time: 31 min read
Since its inception in PyTorch 2.0 in March 2023, the evolution of torch.compile has been one of…
40 373
📌 Extracting Structured Data with LangExtract: A Deep Dive into LLM-Orchestrated Workflows
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-09-06 | ⏱️ Read time: 10 min read
A guide to building modular workflows for structured intelligence
40 373
📌 Modular Arithmetic in Data Science
🗂 Category: DATA SCIENCE
🕒 Date: 2025-08-18 | ⏱️ Read time: 10 min read
Modular arithmetic is a mathematical system where numbers cycle back to the beginning after reaching…
40 373
📌 Can LangExtract Turn Messy Clinical Notes into Structured Data?
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-08-18 | ⏱️ Read time: 7 min read
Turning raw clinical notes into structured entities with LLMs.
