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

Red:Machine Learning with Python Siria227 Tecnologías y Aplicaciones3 375...

📈 Análisis del canal de Telegram Machine Learning

El canal Machine Learning (@machinelearning9) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 40 145 suscriptores, ocupando la posición 3 375 en la categoría Tecnologías y Aplicaciones y el puesto 227 en la región Siria.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 40 145 suscriptores.

Según los últimos datos del 28 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 378, y en las últimas 24 horas de 7, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.09%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.91% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 841 visualizaciones. En el primer día suele acumular 766 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
Intereses temáticos: El contenido se centra en temas clave como distance, insidead, gpu, learning, degree.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 29 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

40 145

Suscriptores

+724 horas

+1147 días

+37830 días

841

Visitas de la publicación

~ 76624 horas

~ 1 08948 horas

2.09%

Tasa de compromiso

~ 3

Mensajes por día

Ads index

beta

Archivo de publicaciones

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

40 147

📌 Why You (Currently) Do Not Need Deep Learning for Time Series Forecasting 🗂 Category: DEEP LEARNING 🕒 Date: 2024-06-20 | ⏱️ Read time: 14 min read What you need instead: Learnings from the Makridakis M5 competitions and the 2023 Kaggle AI…

40 147

📌 How Do Computers Actually Remember? 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 15 min read A Budding Data Scientist’s Introduction to Computer Hardware

40 147

📌 How I Created a Kaggle-Like Platform for My Students Using Streamlit and How You Can Do It as Well 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 29 min read Gamify machine learning student projects with Streamlit and Google Sheets

40 147

📌 Understanding Techniques for Solving GenAI Challenges 🗂 Category: 🕒 Date: 2024-06-20 | ⏱️ Read time: 19 min read Dive into model pre-training, fine-tuning, RAG, prompt engineering, and more!

40 147

📌 Transforming Next-Token Prediction into Classification with LLMs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-20 | ⏱️ Read time: 7 min read From tokens to labels: Performing classification with large language models

40 147

📌 Voyage Multilingual 2 Embedding Evaluation 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-20 | ⏱️ Read time: 11 min read Compared to OpenAI, Cohere, Google, and E5

40 147

📌 3 Painful Mistakes I Made as a Junior Data Scientist 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-21 | ⏱️ Read time: 6 min read Learn from them to fast-track your career today

40 147

📌 Enhancing Marketing Mix Modelling with Causal AI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read Causal AI, exploring the integration of causal reasoning into machine learning

40 147

📌 Guiding an LLM’s Response to Create Structured Output 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read Learn how to structure a language model’s response to ensure that the response format is…

40 147

📌 Simplifying Support Vector Machines – A Concise Introduction into Binary Classification 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 7 min read MLBasics #4: The Binary Classification King – A Journey Through Support Vector Machines

40 147

📌 Creating a Streamlit App for Satellite Imagery Visualization: A Step-by-Step Guide 🗂 Category: DATA VISUALIZATION 🕒 Date: 2024-06-21 | ⏱️ Read time: 11 min read Explore any point on Earth at any time using satellite data with Streamlit

40 147

📌 Entity-Resolved Knowledge Graphs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 5 min read New words. Old concepts. In the end, it’s about data fusion.

40 147

📌 Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-06-21 | ⏱️ Read time: 8 min read An illustrated and intuitive guide on the inner workings of an LSTM

40 147

📌 Beyond Kleinberg’s Impossibility Theorem of Clustering: A Pragmatic Clustering Evaluation Framework 🗂 Category: 🕒 Date: 2024-06-21 | ⏱️ Read time: 15 min read This article explores a pragmatic evaluation framework for clustering under the constraint of Kleinberg’s Impossibility…

40 147

📌 Challenges and Solutions in Data Mesh – Part 3 🗂 Category: DATA ENGINEERING 🕒 Date: 2024-06-21 | ⏱️ Read time: 12 min read A practical approach to achieving interoperability in the data mesh through federated enterprise data modeling

40 147

📌 Validating Data in a Production Pipeline: The TFX Way 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-22 | ⏱️ Read time: 10 min read A deep dive into data validation using Tensorflow Data Validation

40 147

📌 330 Weeks of Data Visualizations: My Journey and Key Takeaways 🗂 Category: CAREER ADVICE 🕒 Date: 2024-06-22 | ⏱️ Read time: 7 min read How consistent practice in data visualization enhanced my data science skills

40 147

📌 I Took a Certification in AI. Here’s What It Taught Me About Prompt Engineering. 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-22 | ⏱️ Read time: 15 min read A software developer learns how large language models are more than just magic.

40 147

📌 Model Drift Introduction and Concepts 🗂 Category: DATA SCIENCE 🕒 Date: 2024-06-22 | ⏱️ Read time: 7 min read Learn some of the concepts behind machine learning models drift and understand why MLOps is…