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

Network:Machine Learning with Python Syria227 Technologies & Applications3 343...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 244 subscribers, ranking 3 343 in the Technologies & Applications category and 227 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 244 subscribers.

According to the latest data from 05 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 346 over the last 30 days and by 22 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.97%. Within the first 24 hours after publication, content typically collects 1.86% reactions from the total number of subscribers.
Post reach: On average, each post receives 794 views. Within the first day, a publication typically gains 749 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
Thematic interests: Content is focused on key topics such as distance, insidead, gpu, learning, degree.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 06 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

40 244

Subscribers

+2224 hours

+987 days

+34630 days

794

Post views

~ 74924 hours

~ 98448 hours

1.97%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

40 244

📌 From Data Scientist to Data Manager: My First 3 Months Leading a Team 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Reflections on moving from hands-on work to mentoring and leading

40 244

📌 Optimizing Transformer Models for Variable-Length Input Sequences 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 17 min read How PyTorch NestedTensors, FlashAttention2, and xFormers can Boost Performance and Reduce AI Costs

40 244

📌 Explainable Generic ML Pipeline with MLflow 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-26 | ⏱️ Read time: 15 min read An end-to-end demo to wrap a pre-processor and explainer into an algorithm-agnostic ML pipeline with…

40 244

📌 Data Scientist Answers the Most Popular Data Science Questions 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 7 min read All-around guidance for prospective data scientists

40 244

Устал ждать, когда заработаешь первые TON? В ботe FreeTon 💎 ты получаешь до 10 TON каждый час — без вложений и лишней суеты. Просто жми старт и наблюдай, как на счёте растёт баланс. Хватит думать, проверь сам здесь! #ad InsideAds .

40 244

📌 Mistral 7B Explained: Towards More Efficient Language Models 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 56 min read RMS Norm, RoPE, GQA, SWA, KV Cache, and more!

40 244

📌 Addressing Missing Data 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-26 | ⏱️ Read time: 9 min read Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with Missingno

40 244

📌 A Beginner’s Journey into Key Mathematical Concepts: Applied Data Analysis Simplified 🗂 Category: PROBABILITY 🕒 Date: 2024-11-26 | ⏱️ Read time: 23 min read Understanding key concepts such as Monte Carlo Methods, Bayes’ Theorem or Gradient Descent can be…

40 244

📌 NLP Illustrated, Part 2: Word Embeddings 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-27 | ⏱️ Read time: 8 min read An illustrated and intuitive guide to word embeddings

40 244

📌 A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important 🗂 Category: MARKETING 🕒 Date: 2024-11-27 | ⏱️ Read time: 30 min read "Details matter. It’s worth waiting to get it right." — Steve Jobs What if the…

40 244

📌 Autonomous Agent Ecosystems, Data Integration, Open Source LLMs, and Other November Must-Reads 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 4 min read The stories that resonated the most with our community in the past month

40 244

📌 A quick guide to Network Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 8 min read For those who would like to learn about complex connections – from theory to practice…

40 244

📌 Complete MLOPS Cycle for a Computer Vision Project 🗂 Category: 🕒 Date: 2024-11-28 | ⏱️ Read time: 9 min read These days, we encounter (and maybe produce on our own) many computer vision projects, where…

40 244

📌 The Intuition behind Concordance Index – Survival Analysis 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-28 | ⏱️ Read time: 19 min read Ranking accuracy versus absolute accuracy

40 244

📌 GenAI is Reshaping Data Science Teams 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 11 min read Challenges, opportunities, and the evolving role of data scientists

40 244

📌 Porting Twitter’s Anomaly Detection Algorithm To Swift 🗂 Category: TWITTER 🕒 Date: 2024-11-29 | ⏱️ Read time: 12 min read From Twitter to Swift: Building Anomaly Detection.

40 244

📌 AI Math: The Bias-Variance Trade-off in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-11-29 | ⏱️ Read time: 60 min read A visual tour from classical statistics to the nuances of deep learning

40 244

📌 Multimodal Embeddings: An Introduction 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read Mapping text and images into a common space

40 244

📌 Water Cooler Small Talk: Simpson’s Paradox 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 10 min read Is your data tricking you? What can you do about it?

40 244

📌 Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-29 | ⏱️ Read time: 8 min read 5 practical use cases that prove Power Query is worth exploring.