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 40 323 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 332-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
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невідомо sanasidan buyon loyiha tez o‘sib, 40 323 obunachiga ega bo‘ldi.
09 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 378 ga, so‘nggi 24 soatda esa 30 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 10 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.
40 323
Obunachilar
+3024 soatlar
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+37830 kunlar
Postlar arxiv
40 332
📌 How to Benchmark DeepSeek-R1 Distilled Models on GPQA Using Ollama and OpenAI’s simple-evals
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-04-23 | ⏱️ Read time: 12 min read
Set up and run the GPQA-Diamond benchmark on DeepSeek-R1’s distilled models locally to evaluate its…
40 332
📌 Exporting MLflow Experiments from Restricted HPC Systems
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-04-23 | ⏱️ Read time: 4 min read
A workaround method that bypasses direct communication
40 332
📌 Predicting the NBA Champion with Machine Learning
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-24 | ⏱️ Read time: 10 min read
Building a machine learning model to predict the NBA Champion and analyze the most impactful…
40 332
📌 Choose the Right One: Evaluating Topic Models for Business Intelligence
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-04-24 | ⏱️ Read time: 11 min read
Python tutorial for evaluating top-notch bigram topic models in customer email classification
40 332
📌 How to Integrate AI into Complex Workflows
🗂 Category: THE VARIABLE
🕒 Date: 2025-04-24 | ⏱️ Read time: 3 min read
This week, we focus on the nitty-gritty details of integrating AI workflows into new contexts.
40 332
📌 Government Funding Graph RAG
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-24 | ⏱️ Read time: 19 min read
Graph visualisation for UK Research and Innovation (UKRI) funding, including NetworkX, PyVis and LlamaIndex graph…
40 332
📌 AWS: Deploying a FastAPI App on EC2 in Minutes
🗂 Category: DATA ENGINEERING
🕒 Date: 2025-04-24 | ⏱️ Read time: 5 min read
From zero to EC2: easy steps to launching an AWS Instance
40 332
📌 LLM Evaluations: from Prototype to Production
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-25 | ⏱️ Read time: 30 min read
How to monitor the quality of your LLM product
40 332
📌 Behind the Magic: How Tensors Drive Transformers
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-04-25 | ⏱️ Read time: 4 min read
The workflow Of tensors Inside Transformers
40 332
📌 A Step-By-Step Guide To Powering Your Application With LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-04-25 | ⏱️ Read time: 8 min read
Explore a hands-on guide to integrating large language models into real-world apps, not just read…
40 332
📌 Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-04-28 | ⏱️ Read time: 12 min read
This is how I used Large Language Models Agents to simulate an end-to-end restaurant process,…
40 332
📌 Adding Training Noise To Improve Detections In Transformers
🗂 Category: DEEP LEARNING
🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read
Denoising, explained
40 332
📌 When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read
Data privacy, compliance, and trust gaps in today’s AI agent integrations
40 332
📌 NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used
🗂 Category: PROGRAMMING
🕒 Date: 2025-04-28 | ⏱️ Read time: 8 min read
A comparative performance test with NumPy
40 332
📌 Struggling to Land a Data Role in 2025? These 5 Tips Will Change That
🗂 Category: DATA SCIENCE
🕒 Date: 2025-04-28 | ⏱️ Read time: 7 min read
Your dream data job isn’t ghosting you—you just need to search smart.
40 332
📌 How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-09-10 | ⏱️ Read time: 20 min read
Email → n8n → LangGraph → FastAPI: turning budget requests into optimised CAPEX portfolios that…
40 332
📌 Why Task-Based Evaluations Matter
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-09-10 | ⏱️ Read time: 4 min read
This article is adapted from a lecture series I gave at Deeplearn 2025: From Prototype…
40 332
📌 When A Difference Actually Makes A Difference
🗂 Category: DATA SCIENCE
🕒 Date: 2025-09-10 | ⏱️ Read time: 10 min read
Bite-Sized Analytics for Business Decision-Makers (1)
40 332
📌 Fighting Back Against Attacks in Federated Learning
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-09-10 | ⏱️ Read time: 8 min read
Lessons from a multi-node simulator
40 332
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