اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Machine Learning
رفتن به کانال در Telegram
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho
نمایش بیشتر📈 تحلیل کانال تلگرام Machine Learning
کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 134 مشترک است و جایگاه 3 380 را در دسته فناوری و برنامهها و رتبه 231 را در منطقه سوريا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 134 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 395 و در ۲۴ ساعت گذشته برابر 12 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 1.89% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.31% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 758 بازدید دریافت میکند. در اولین روز معمولاً 525 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند distance, insidead, gpu, learning, degree تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Real Machine Learning — simple, practical, and built on experience.
Learn step by step with clear explanations and working code.
Admin: @HusseinSheikho || @Hussein_Sheikho”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
40 134
مشترکین
+1224 ساعت
+697 روز
+39530 روز
آرشیو پست ها
40 138
📌 TDS Newsletter: November Must-Reads on GraphRAG, ML Projects, LLM-Powered Time-Series Analysis, and More
🗂 Category: THE VARIABLE
🕒 Date: 2025-11-27 | ⏱️ Read time: 3 min read
Towards Data Science's November newsletter highlights the month's most popular articles for the tech community. Key topics include the innovative GraphRAG technique for enhancing language models, practical guidance for structuring successful machine learning projects, and the application of LLMs for advanced time-series analysis. This roundup offers essential insights into the latest trends and developments in the field.
#GraphRAG #LLM #MachineLearning #DataScience #TimeSeries
40 138
📌 The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation
🗂 Category: PRODUCT MANAGEMENT
🕒 Date: 2025-11-28 | ⏱️ Read time: 10 min read
Discover how a unified Product Health Score, powered by integrated monitoring and n8n automation, can align product, growth, and engineering teams. This single-signal approach streamlines incident management and successfully reduced critical incidents by an impressive 35%, creating a more stable and reliable product.
#ProductHealth #Automation #n8n #IncidentManagement #DevOps
40 138
📌 Why We’ve Been Optimizing the Wrong Thing in LLMs for Years
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-11-28 | ⏱️ Read time: 14 min read
LLM development may have been focused on the wrong optimization targets for years. A new analysis reveals that a simple shift in the training process is the key to unlocking significant improvements. This approach reportedly leads to models with enhanced foresight, faster inference speeds, and substantially better reasoning abilities, challenging conventional development practices.
#LLM #AITraining #ModelOptimization #AI #Inference
40 138
📌 Data Science in 2026: Is It Still Worth It?
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-28 | ⏱️ Read time: 9 min read
Is data science still a viable career path by 2026? A veteran AI engineer with a decade of experience offers a candid perspective on the evolution of the field. This piece explores the future demand for data scientists, the impact of automation and advanced AI on the role, and whether it's still worth pursuing for aspiring and current professionals.
#DataScience #AI #TechCareer #FutureOfWork
40 138
🪙 +30.560$ with 300$ in a month of trading! We can teach you how to earn! FREE!
It was a challenge - a marathon 300$ to 30.000$ on trading, together with Lisa!
What is the essence of earning?: "Analyze and open a deal on the exchange, knowing where the currency rate will go. Lisa trades every day and posts signals on her channel for free."
🔹Start: $150
🔹 Goal: $20,000
🔹Period: 1.5 months.
Join and get started, there will be no second chance👇
https://t.me/+L9_l-dxOJxI2ZGUy
https://t.me/+L9_l-dxOJxI2ZGUy
https://t.me/+L9_l-dxOJxI2ZGUy
40 138
Channel Owners are Earning! 2
Do you want to monetize your Telegram channel?
It is definitely possible and effortless!
Register your channel and start earning today!
Our Telegram community home👇🏽
https://t.me/waybien
Sponsored By WaybienAds
40 138
Channel Owners are Earning! 2
Do you want to monetize your Telegram channel?
It is definitely possible and effortless!
Register your channel and start earning today!
Our Telegram community home👇🏽
https://t.me/waybien
Sponsored By WaybienAds
40 138
📌 Implementing the Rock Paper Scissors Game in Python
🗂 Category: PROGRAMMING
🕒 Date: 2025-11-27 | ⏱️ Read time: 4 min read
Master Python basics by building a classic Rock Paper Scissors game. This beginner-friendly tutorial demonstrates how to use the random module for the computer's choice and apply conditional logic to determine the winner. It is a perfect hands-on project for new developers to practice fundamental programming concepts.
#Python #PythonForBeginners #PythonProject #CodingTutorial
40 138
📌 Everyday Decisions are Noisier Than You Think — Here’s How AI Can Help Fix That
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-27 | ⏱️ Read time: 24 min read
Inconsistency in human judgment, or "noise," creates significant problems in fields ranging from insurance to justice. This hidden flaw leads to unpredictable and often unfair outcomes. AI presents a powerful solution by introducing data-driven consistency, helping to reduce this variability and improve the quality and fairness of critical decisions. By standardizing processes where consistency is paramount, AI can lead to more reliable and equitable results across various sectors.
#AI #DecisionMaking #NoiseReduction #DataScience
40 138
📌 Water Cooler Small Talk, Ep. 10: So, What About the AI Bubble?
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-11-27 | ⏱️ Read time: 10 min read
The tech world is buzzing with AI advancements, but is it a sustainable boom or a bubble on the verge of popping? This discussion explores the massive investments and lofty promises fueling the current AI hype, critically examining whether we're being sold an impossibly expensive and unrealistic future.
#AIBubble #ArtificialIntelligence #TechTrends #FutureOfAI
40 138
📌 Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them.
🗂 Category: DEEP LEARNING
🕒 Date: 2025-11-27 | ⏱️ Read time: 17 min read
Neural networks and symbolic AI models compress information in fundamentally different ways, leading to "blurry" continuous representations versus "fragmented" discrete ones. Sparse Autoencoders (SAEs) offer a promising bridge between these two paradigms. By learning sparse, interpretable features from the dense activations within neural networks, SAEs can help translate continuous data into more structured, symbolic-like components. This approach aims to combine the robust pattern recognition of neural systems with the logical reasoning capabilities of symbolic AI, advancing the quest for more understandable and capable models.
#SparseAutoencoders #AIInterpretability #NeuralNetworks #SymbolicAI #NeuroSymbolic
40 138
Amazing NumPy Cheat Sheet Snippet with 100 exercises for practicing the concept to get hands on to clear the coding round in the interviews
#NumPy #codingexams
https://t.me/DataScienceM
40 138
I want to share a tool that I genuinely believe can make a real difference for anyone building apps: PacketSDK. Many developers have strong active-user bases but still struggle to increase revenue. That’s exactly why this solution stands out—it adds extra income without disrupting users or interfering with your existing monetization methods.
Why I strongly recommend it:
* It turns your active users into immediate profit without showing ads.
* Integration is fast and straightforward—around 30 minutes.
* It works on all platforms: mobile, desktop, TV, Unity, and more.
40 138
📌 I Cleaned a Messy CSV File Using Pandas . Here’s the Exact Process I Follow Every Time.
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-26 | ⏱️ Read time: 17 min read
Stop guessing when cleaning messy CSV files. This article details a repeatable 5-step workflow using Python's Pandas library to systematically diagnose and fix data quality issues. Learn a structured, practical process to transform your data preparation, moving from haphazard fixes to a reliable methodology for any data professional.
#Python #Pandas #DataCleaning #DataScience
40 138
⚙️ Mining Pulse (https://t.me/YYGJ6789) ⚙️
Imagine energy flowing through invisible veins—AI and machines learning, mining, creating value as you sleep. Every heartbeat of the grid means new ideas, new profits, fresh ways to automate crypto income. 💡
Innovation, passive income, no experience needed, full control, real results. Are you ready to feel the future pulse? 🌍
Join Mining Pulse (https://t.me/YYGJ6789) 🚀
InsideAds
40 138
📌 How I Use AI to Convince Companies to Adopt Sustainability
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-11-26 | ⏱️ Read time: 12 min read
Discover how AI, specifically Claude, is being used to champion corporate sustainability. By functioning as a dedicated Supply Chain Sustainability Analyst, the AI can effectively analyze data and guide companies towards adopting greener practices. This article explores a novel and practical use case for large language models in promoting environmental responsibility within complex business supply chains, showcasing the intersection of advanced technology and corporate stewardship.
#AI #Sustainability #SupplyChain #ClaudeAI #TechForGood
40 138
📌 RISAT’s Silent Promise: Decoding Disasters with Synthetic Aperture Radar
🗂 Category: DATA SCIENCE
🕒 Date: 2025-11-26 | ⏱️ Read time: 8 min read
RISAT satellites are transforming disaster management with Synthetic Aperture Radar (SAR). This advanced technology uses high-resolution physics to interpret microwave echoes, turning complex radar data into real-time flood intelligence. By providing critical, actionable insights from space, SAR enables rapid and effective response to environmental crises, showcasing the power of remote sensing in decoding catastrophic events.
#SAR #RemoteSensing #DisasterTech #RISAT
40 138
40 138
📌 How to Create Professional Articles with LaTeX in Cursor
🗂 Category: LLM APPLICATIONS
🕒 Date: 2025-11-25 | ⏱️ Read time: 9 min read
Streamline your academic and technical writing by creating professional articles and presentations with LaTeX directly in Cursor. This guide demonstrates how to leverage the editor to rapidly produce high-quality, typeset documents, enhancing your productivity and workflow for polished, professional results.
#LaTeX #Cursor #TechnicalWriting #Productivity
40 138
📌 Ten Lessons of Building LLM Applications for Engineers
🗂 Category: LLM APPLICATIONS
🕒 Date: 2025-11-25 | ⏱️ Read time: 22 min read
Drawing from two years of hands-on experience, this article outlines ten essential lessons for engineers building applications with Large Language Models. Gain practical insights and field-tested advice on structuring projects, optimizing workflows, and implementing effective evaluation strategies to successfully navigate the complexities of LLM development. This guide is for engineers looking to move from theory to production-ready applications.
#LLM #AIdevelopment #SoftwareEngineering #MLOps
