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 40 145 مشترک است و جایگاه 3 375 را در دسته فناوری و برنامهها و رتبه 227 را در منطقه سوريا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 145 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 28 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 378 و در ۲۴ ساعت گذشته برابر 7 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.09% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.91% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 841 بازدید دریافت میکند. در اولین روز معمولاً 766 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 3 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 29 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.
40 145
مشترکین
+724 ساعت
+1147 روز
+37830 روز
آرشیو پست ها
40 147
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40 147
📌 AI Agent Capabilities Engineering
🗂 Category: CHATGPT
🕒 Date: 2024-06-18 | ⏱️ Read time: 13 min read
Introducing a high-level capabilities engineering framework for AI Agents
40 147
📌 Let’s Revisit Case-When in Different Libraries Including the New Player: Pandas
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-18 | ⏱️ Read time: 6 min read
How to create conditional columns with different tools.
40 147
📌 Creating an Assistant with OpenAI Assistant API and Streamlit
🗂 Category: MACHINE LEARNING
🕒 Date: 2024-06-18 | ⏱️ Read time: 7 min read
A step-by-step guide
40 147
📌 3 Simple Statistical Methods for Outlier Detection
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-18 | ⏱️ Read time: 6 min read
If it works, keep it simple
40 147
📌 CLIP, LLaVA, and the Brain
🗂 Category: DEEP LEARNING
🕒 Date: 2024-06-19 | ⏱️ Read time: 10 min read
What neuroscience can teach us about the limitations of modern multimodal transformers
40 147
📌 Counts Outlier Detector: Interpretable Outlier Detection
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-19 | ⏱️ Read time: 22 min read
An interpretable outlier detector based on multi-dimensional histograms.
40 147
📌 A Step-By-Step Guide to Building a Programming Language
🗂 Category: PROGRAMMING
🕒 Date: 2024-06-19 | ⏱️ Read time: 20 min read
Building a programming language from scratch in a few hours
40 147
📌 How I Dockerized Apache Flink, Kafka, and PostgreSQL for Real-Time Data Streaming
🗂 Category: DATA ENGINEERING
🕒 Date: 2024-06-19 | ⏱️ Read time: 12 min read
Integrating pyFlink, Kafka, and PostgreSQL using Docker
40 147
Repost from Machine Learning with Python
🔗 Keras vs. TensorFlow vs. PyTorch: The ultimate showdown for deep learning supremacy! 🚀
🤔 Keras: The user-friendly champion! Perfect for beginners and rapid prototyping.
⚡️ TensorFlow: The powerhouse! Great for complex projects with extensive capabilities.
🔥 PyTorch: The flexible innovator! With its dynamic computation graph, it’s a favorite among researchers.
👉 @codeprogrammer
40 147
📌 Exploratory Data Analysis in 11 Steps
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-19 | ⏱️ Read time: 6 min read
Starting an exploratory data analysis can be daunting. How do you know what to look…
40 147
📌 Optimizing Sigma Rules in Spark with the Aho-Corasick Algorithm
🗂 Category: CYBERSECURITY
🕒 Date: 2024-06-20 | ⏱️ Read time: 9 min read
Extending Spark for improved performance in handling multiple search terms
40 147
📌 Using Decision Trees for Exploratory Data Analysis
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 7 min read
Add decision trees to your EDA and get great insights from the start
40 147
🤖🧠 Diffusion Transformers with Representation Autoencoders (RAE): The Next Leap in Generative AI
🗓️ 14 Oct 2025
📚 AI News & Trends
Diffusion Transformers (DiTs) have revolutionized image and video generation enabling stunningly realistic outputs in systems like Stable Diffusion and Imagen. However, despite innovations in transformer architectures and training methods, one crucial element of the diffusion pipeline has remained largely stagnant- the autoencoder that defines the latent space. Most current diffusion models still depend on Variational ...
#DiffusionTransformers #RAE #GenerativeAI #StableDiffusion #Imagen #LatentSpace
40 147
🤖🧠 LLaMAX2 by Nanjing University, HKU, CMU & Shanghai AI Lab: A Breakthrough in Translation-Enhanced Reasoning Models
🗓️ 14 Oct 2025
📚 AI News & Trends
The world of large language models (LLMs) has evolved rapidly, producing advanced systems capable of reasoning, problem-solving, and creative text generation. However, a persistent challenge has been balancing translation quality with reasoning ability. Most translation-enhanced models excel in linguistic diversity but falter in logical reasoning or coding tasks. Addressing this crucial gap, the research paper ...
#LLaMAX2 #TranslationEnhanced #ReasoningModels #LargeLanguageModels #NanjingUniversity #HKU
40 147
🤖🧠 Granite-Speech-3.3-8B: IBM’s Next-Gen Speech-Language Model for Enterprise AI
🗓️ 14 Oct 2025
📚 AI News & Trends
In the fast-growing field of speech and language AI, IBM continues to make strides with its Granite model family , a suite of open enterprise-grade AI models that combine accuracy, safety and efficiency. The latest addition to this ecosystem, Granite-Speech-3.3-8B marks a significant milestone in automatic speech recognition (ASR) and speech translation (AST) technology. Released ...
#SpeechAI #LanguageModel #EnterpriseAI #ASR #SpeechTranslation #GraniteModel
40 147
🤖🧠 Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation
🗓️ 14 Oct 2025
📚 AI News & Trends
In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image “a cat on a sofa” “a red car on the road” but struggle to reason about how the image was captured: the camera’s ...
#MultimodalAI #CameraCentricUnderstanding #VisionLanguageModels #AIResearch #ComputerVision #GenerativeModels
40 147
📌 Back to Basics: Databases, SQL, and Other Data-Processing Must-Reads
🗂 Category: DATA SCIENCE
🕒 Date: 2024-06-20 | ⏱️ Read time: 3 min read
Our weekly selection of must-read Editors’ Picks and original features
40 147
Ever wondered how movie insiders get the hottest premieres BEFORE anyone else? I stumbled onto a secret channel where A-listers and true movie fans grab hidden gems, unreleased trailers, and wild backstage stories. Don’t miss the next big reveal — find out here.
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40 147
📌 Should You Join FAANG or a Startup as a Data Scientist?
🗂 Category: CAREER ADVICE
🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read
Lessons from working at Uber + Meta, a growth stage company and a tiny startup
