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
شبکه:📈 تحلیل کانال تلگرام Machine Learning
کانال Machine Learning (@machinelearning9) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 365 مشترک است و جایگاه 3 329 را در دسته فناوری و برنامهها و رتبه 225 را در منطقه سوريا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 365 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 11 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 393 و در ۲۴ ساعت گذشته برابر 17 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.29% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.74% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 924 بازدید دریافت میکند. در اولین روز معمولاً 702 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 4 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 12 ژوئیه, 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.
40 365
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آرشیو پست ها
40 365
📌 TDS Authors Can Now Edit Their Published Articles
🗂 Category: WRITING
🕒 Date: 2025-07-18 | ⏱️ Read time: 3 min read
One of our guiding principles as a publication is that authors’ work remains theirs. This…
40 365
📌 From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-18 | ⏱️ Read time: 7 min read
Learn how machine learning can predict network congestion before it happens
40 365
📌 Gain a Better Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow
🗂 Category: COMPUTER VISION
🕒 Date: 2025-07-18 | ⏱️ Read time: 16 min read
A practical approach to instance segmentation using SOLOv2 and TensorFlow
40 365
📌 The Hidden Trap of Fixed and Random Effects
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-18 | ⏱️ Read time: 6 min read
My lesson of how blindly over-controlling for noise can erase the effects you are measuring
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📌 Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-18 | ⏱️ Read time: 19 min read
Let’s observe the matter on the atomic level
40 365
📌 How to Create an LLM Judge That Aligns with Human Labels
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 14 min read
A hands-on guide to building and validating LLM evaluators
40 365
📌 Three Career Tips For Gen-Z Data Professionals
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read
Unsolicited pieces of advice on navigating early career challenges
40 365
📌 Advanced Topic Modeling with LLMs
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 12 min read
A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic
40 365
📌 Hands‑On with Agents SDK: Your First API‑Calling Agent
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 16 min read
A practical, beginner‑friendly guide to building an AI weather assistant with Python, OpenAI Agents SDK,…
40 365
📌 I Analysed 25,000 Hotel Names and Found Four Surprising Truths
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-21 | ⏱️ Read time: 10 min read
Why are there so many hotels named after cities they are not in? Follow along…
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📌 How To Significantly Enhance LLMs by Leveraging Context Engineering
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-21 | ⏱️ Read time: 11 min read
The benefits and practical aspects of context engineering for LLMs
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📌 When LLMs Try to Reason: Experiments in Text and Vision-Based Abstraction
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2025-07-22 | ⏱️ Read time: 21 min read
Can large language models learn to reason abstractly from just a few examples? In this…
40 365
📌 Understanding Matrices | Part 3: Matrix Transpose
🗂 Category: MATH
🕒 Date: 2025-07-22 | ⏱️ Read time: 13 min read
Visualizing matrix transposition, to make sense of transpose-related formulas.
40 365
📌 What Optimization Terminologies for Linear Programming Really Mean
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-22 | ⏱️ Read time: 11 min read
Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for…
40 365
📌 From Rules to Relationships: How Machines Are Learning to Understand Each Other
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-22 | ⏱️ Read time: 6 min read
Using knowledge graphs to handle the unexpected in semantic communication
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📌 A Well-Designed Experiment Can Teach You More Than a Time Machine!
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-22 | ⏱️ Read time: 7 min read
How experimentation is more powerful than knowing counterfactuals
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📌 Things I Wish I Had Known Before Starting ML
🗂 Category: MACHINE LEARNING
🕒 Date: 2025-07-22 | ⏱️ Read time: 9 min read
Part 1: Data, Sales Pitches, Bugs, and Breakthroughs
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📌 NumPy API on a GPU?
🗂 Category: PROGRAMMING
🕒 Date: 2025-07-22 | ⏱️ Read time: 17 min read
It’s here already from Nvidia and it’s called cuNumeric.
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📌 Torchvista: Building an Interactive Pytorch Visualization Package for Notebooks
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2025-07-23 | ⏱️ Read time: 11 min read
Building a tool to interactively visualize the forward pass of any Pytorch model from within…
40 365
📌 How Not to Mislead with Your Data-Driven Story
🗂 Category: DATA SCIENCE
🕒 Date: 2025-07-23 | ⏱️ Read time: 22 min read
Data storytelling can enlighten—but it can also deceive. When persuasive narratives meet biased framing, cherry-picked…
