Machine Learning
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Real Machine Learning β 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:π Telegram kanali Machine Learning analitikasi
Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 403 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 324-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 40 403 obunachiga ega boβldi.
13 Iyul, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 421 ga, soβnggi 24 soatda esa 25 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 2.65% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.74% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 1 070 marta koβriladi; birinchi sutkada odatda 701 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 4 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βReal Machine Learning β simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikhoβ
Yuqori yangilanish chastotasi (oxirgi maβlumot 14 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
40 403
Obunachilar
+2524 soatlar
+1547 kunlar
+42130 kunlar
Postlar arxiv
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Repost from Github Top Repositories
π₯ Trending Repository: keras-resources
π Description: Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
π Repository URL: https://github.com/fchollet/keras-resources
π Readme: https://github.com/fchollet/keras-resources#readme
π Statistics:
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π Watchers: 214
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π Description: Free resources for learning Full Stack Web Development
π Repository URL: https://github.com/bmorelli25/Become-A-Full-Stack-Web-Developer
π Readme: https://github.com/bmorelli25/Become-A-Full-Stack-Web-Developer#readme
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π Description: A collection of learning resources for curious software engineers
π Repository URL: https://github.com/charlax/professional-programming
π Readme: https://github.com/charlax/professional-programming#readme
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π₯ Trending Repository: magic
π Description: The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)
π Repository URL: https://github.com/dtyq/magic
π Website: https://www.letsmagic.ai/
π Readme: https://github.com/dtyq/magic#readme
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π» Programming Languages: PHP - TypeScript - JavaScript - Python - Less - Shell
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π Description: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
π Repository URL: https://github.com/Shubhamsaboo/awesome-llm-apps
π Website: https://www.theunwindai.com
π Readme: https://github.com/Shubhamsaboo/awesome-llm-apps#readme
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π» Programming Languages: Python - JavaScript - TypeScript - CSS - PLpgSQL - HTML
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π Description: PixiEditor is a Universal Editor for all your 2D needs
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π Website: https://pixieditor.net
π Readme: https://github.com/PixiEditor/PixiEditor#readme
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π» Programming Languages: C# - C - Python - Nix - CSS - HTML
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π Description: LLM agents built for control. Designed for real-world use. Deployed in minutes.
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π Readme: https://github.com/emcie-co/parlant#readme
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π» Programming Languages: Python - Gherkin - TypeScript - CSS - JavaScript - Shell
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π Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
π Repository URL: https://github.com/IBM/mcp-context-forge
π Website: https://ibm.github.io/mcp-context-forge/
π Readme: https://github.com/IBM/mcp-context-forge#readme
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π Description: Header only library for writing build recipes in C.
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π Description: ο£Ώ Now we have become very big, Different from the original idea. Collect premium software in various categories.
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π Description: This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
π Repository URL: https://github.com/farhanashrafdev/90DaysOfCyberSecurity
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π Description: Master programming by recreating your favorite technologies from scratch.
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π Description: Supercharge Your LLM with the Fastest KV Cache Layer
π Repository URL: https://github.com/LMCache/LMCache
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π Website: https://microsoft.github.io/poml/
π Readme: https://github.com/microsoft/poml#readme
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Graph Convolutional Network (GCN) by Hand
Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs.
More: https://www.byhand.ai/p/17-can-you-calculate-a-graph-convolutional
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