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

Ko'proq ko'rsatish

Tarmoq:Machine Learning with Python Suriya227 Texnologiyalar & Aralashmalar3 375...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 149 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 375-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 149 obunachiga ega bo‘ldi.

28 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 378 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.09% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.91% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 841 marta ko‘riladi; birinchi sutkada odatda 766 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

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 29 Iyun, 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.

40 149

Obunachilar

+724 soatlar

+1147 kunlar

+37830 kunlar

841

Post ko'rishlar

~ 76624 soatlar

~ 1 08948 soatlar

2.09%

Muloqot nisbati

~ 3

Kuniga postlar

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Postlar arxiv

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📌 EDA for Word Embeddings 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 16 min read Data scientists use EDA for everything. Why not word embeddings?

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📌 Gower’s Distance for Mixed Categorical and Numerical Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read A distance measure for mixed data that can be used for clustering

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🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ... #ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI

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📌 A Practical Framework for Search Evaluation 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 15 min read A Data-Driven Approach to Elevating User Experience and Business Performance with Search

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📌 Multi-Headed Self Attention – By Hand 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 5 min read Hand computing the cornerstone of modern AI.

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📌 Predictive Marketing Mix Modeling with GLOP: The Perfect Cocktail Shaker 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-07-12 | ⏱️ Read time: 12 min read Maximizing profit using ML and GLOP (by Google) in the digital landscape

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📌 Deliver Your Data as a Product, But Not as an Application 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-07-12 | ⏱️ Read time: 11 min read Data as a product is an intriguing concept, but beware of the application trap

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🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs 🗓️ 11 Oct 2025 📚 AI News & Trends Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ... #oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization

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📌 Rainbow: The Colorful Evolution of Deep Q-Networks 🗂 Category: DEEP LEARNING 🕒 Date: 2024-07-12 | ⏱️ Read time: 20 min read Everything you need to assemble the DQN Megazord in JAX.

40 152

📌 Time Series Are Not That Different for LLMs 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-12 | ⏱️ Read time: 8 min read Harnessing the power of LLMs for time series modeling

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📌 Lessons Learned as a Data Science Manager and Why I’m Moving Back to an Individual Contributor Role 🗂 Category: CAREER ADVICE 🕒 Date: 2024-07-13 | ⏱️ Read time: 11 min read The three questions I asked myself that helped me pick my career path

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📌 How to Deliver Successful Data Science Consulting Projects 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 11 min read Key recommendations for how to succeed with data science consulting projects and build lasting client…

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🤖🧠 Gamma PPT AI : Unlock Presentations in Minutes 🗓️ 10 Oct 2025 📚 AI News & Trends In today’s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. That’s where Gamma PPT AI comes in. It’s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ... #GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck

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📌 Why It Feels Impossible to Get a Data Science Job 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 10 min read Reasons why the market is tough and what you can do about it

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📌 Reinforcement Learning, Part 5: Temporal-Difference Learning 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 18 min read Intelligently synergizing dynamic programming and Monte Carlo algorithms

40 152

📌 Essential Considerations for Implementing Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-13 | ⏱️ Read time: 8 min read Is your use case a viable ML product from a traditional ML and production perspective?

40 152

📌 Three reasons why developers should use DuckDB 🗂 Category: SQL 🕒 Date: 2024-07-14 | ⏱️ Read time: 5 min read Developers often have to analyse data, e.g. assessing the impact of an outage. DuckDB is…

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🤖🧠 PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing 🗓️ 09 Oct 2025 📚 AI News & Trends If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ... #PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance

40 152

📌 LLM Agents Demystified 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-07-14 | ⏱️ Read time: 16 min read Hands-on ReAct agent implementation with AdalFlow library

40 152

📌 Chaining Pandas Operations: Strengths and Limitations 🗂 Category: DATA SCIENCE 🕒 Date: 2024-07-15 | ⏱️ Read time: 20 min read Learn when it’s worth chaining Pandas operations in pipes.