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 Syria225 Technologies & Applications3 327...

📈 Analytical overview of Telegram channel Machine Learning

Channel Machine Learning (@machinelearning9) in the English language segment is an active participant. Currently, the community unites 40 373 subscribers, ranking 3 327 in the Technologies & Applications category and 225 in the Syria region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 373 subscribers.

According to the latest data from 12 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 399 over the last 30 days and by 24 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.42%. Within the first 24 hours after publication, content typically collects 1.74% reactions from the total number of subscribers.
Post reach: On average, each post receives 979 views. Within the first day, a publication typically gains 703 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
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 13 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.

40 373

Subscribers

+2424 hours

+1257 days

+39930 days

979

Post views

~ 70324 hours

~ 95648 hours

2.42%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

40 386

📌 How to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker 🗂 Category: DATA SCIENCE 🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read From VOC to JSON: Importing pre-annotations made simple

40 386

📌 Unlocking Multimodal Video Transcription with Gemini 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-29 | ⏱️ Read time: 66 min read Explore how to transcribe videos with speaker identification in a single prompt

40 386

📌 Toward Digital Well-Being: Using Generative AI to Detect and Mitigate Bias in Social Networks 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-08-29 | ⏱️ Read time: 9 min read This research answered the question: How can machine learning and artificial intelligence help us to…

40 386

📌 Marginal Effect of Hyperparameter Tuning with XGBoost 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-29 | ⏱️ Read time: 17 min read Demystifying Bayesian hyperparameter optimization and comparing hyperparameter tuning paradigms

40 386

📌 Crafting a Custom Voice Assistant with Perplexity 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-08-30 | ⏱️ Read time: 10 min read How to build a fully functional, hands-free voice assistant on a Raspberry Pi

40 386

📌 Understanding Matrices | Part 4: Matrix Inverse 🗂 Category: MATH 🕒 Date: 2025-08-30 | ⏱️ Read time: 18 min read The physical meaning of matrix inversion, related formulas, and how inversion behaves on several special…

40 386

📌 The Machine Learning Lessons I’ve Learned This Month 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-08-31 | ⏱️ Read time: 5 min read August 2025: logging, lab notebooks, overnight runs

40 386

📌 How to Develop a Bilingual Voice Assistant 🗂 Category: LLM APPLICATIONS 🕒 Date: 2025-08-31 | ⏱️ Read time: 8 min read Exploring ways to make voice assistants more personal

40 386

📌 The Generalist: The New All-Around Type of Data Professional? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-01 | ⏱️ Read time: 6 min read Is over-specialization ending and are data generalists on the rise?

40 386

📌 Writing Is Thinking 🗂 Category: AUTHOR SPOTLIGHTS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read Egor Howell on breaking into ML without a CS degree, surviving 80+ interviews, and what…

40 386

📌 3 Greedy Algorithms for Decision Trees, Explained with Examples 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read Learn the inner workings of decision trees

40 386

📌 What is Universality in LLMs? How to Find Universal Neurons 🗂 Category: LARGE LANGUAGE MODELS 🕒 Date: 2025-09-02 | ⏱️ Read time: 5 min read How independently trained transformers form same the neurons

40 386

📌 How to Scale Your AI Search to Handle 10M Queries with 5 Powerful Techniques 🗂 Category: CONVERSATIONAL AI 🕒 Date: 2025-09-02 | ⏱️ Read time: 9 min read Optimize your AI search with RAG, contextual retrieval and evaluations

40 386

📌 Implementing the Caesar Cipher in Python 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 7 min read Julius Caesar was a Roman ruler known for his military strategies and excellent leadership. Named…

40 386

📌 A Deep Dive into RabbitMQ & Python’s Celery: How to Optimise Your Queues 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-02 | ⏱️ Read time: 12 min read Key lessons I’ve learned running RabbitMQ + Celery in production

40 386

📌 What Being a Data Scientist at a Startup Really Looks Like 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 9 min read What I learned about growth, visibility, and chaos over the past five years

40 386

📌 Stochastic Differential Equations and Temperature — NASA Climate Data pt. 2 🗂 Category: MATH 🕒 Date: 2025-09-03 | ⏱️ Read time: 14 min read The Ornstein-Uhlenbeck process in Python

40 386

📌 Hands On Time Series Modeling of Rare Events, with Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 11 min read This is how to model rare events occurrences in a time series in a few…

40 386

📌 AI FOMO, Shadow AI, and Other Business Problems 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-09-03 | ⏱️ Read time: 6 min read What’s the state of AI in business these days, and how much does it cost…

40 386

📌 Useful Python Libraries You Might Not Have Heard Of: Freezegun 🗂 Category: PROGRAMMING 🕒 Date: 2025-09-03 | ⏱️ Read time: 12 min read Bring time to a standstill in your Python tests