Computer Science and Programming

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India29 532 Tecnologías y Aplicaciones8 736...

📈 Análisis del canal de Telegram Computer Science and Programming

El canal Computer Science and Programming (@machinelearning_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 14 846 suscriptores, ocupando la posición 8 736 en la categoría Tecnologías y Aplicaciones y el puesto 29 532 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 14 846 suscriptores.

Según los últimos datos del 04 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -152, 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 14.63%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
Intereses temáticos: El contenido se centra en temas clave como learning, github, engineer, quantization, detection.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 05 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.

14 846

Suscriptores

-724 horas

-277 días

-15230 días

2 173

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

14.63%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

14 846

Is Google Tensorflow Object Detection API the easiest way to implement image recognition? 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/is-google-tensorflow-object-detection-api-the-easiest-way-to-implement-image-recognition-a8bd1f500ea0

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Learning Python: From Zero to Hero 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/free-code-camp/learning-python-from-zero-to-hero-120ea540b567

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Advanced Python made easy Python is an object-orientated language that closely resembles the English language which makes it a great language to learn for beginners. It’s advanced features and package of supported libraries even makes hard task be writable in bunch of lines of code. 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/quick-code/advanced-python-made-easy-eece317334fa

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Five Python Tricks You Need to Know Today 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/five-python-tricks-you-need-to-learn-today-9dbe03c790ab

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Building Future Web Apps With JavaScript and Django 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/fbdevclagos/building-future-web-apps-with-javascript-and-django-c831883b22cf

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A Bunch of Awesome Project Ideas You Can Start Coding Today 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/better-programming/heres-a-bunch-of-awesome-project-ideasyou-can-start-coding-today-6b5bd98c619f

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An Introduction to Web Scraping 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/swlh/an-introduction-to-web-scraping-with-puppeteer-3d35a51fdca0

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10+ Python Tips and Tricks You Should Know in 2020 This video covers some different tips and trick in Python. These tricks make it easier and faster to write python code and give you some good tools to use the future. What's your favorite python tip and trick? Let me know! 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://morioh.com/p/7430d87868f7

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JavaScript Quick Tip — Avoid Serial Request Waterfalls 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/javascript-scene/javascript-quick-tip-avoid-serial-request-waterfalls-d03c4021d5fa

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Python Projects with Source Code – Practice Top Projects in Python 1.Join 👉@DeepLearning_ai 3.Join 👉@ComputerScience_MachineLearning 2.Join👉 https://www.fb.com/groups/MachineLearningSource/ https://data-flair.training/blogs/python-projects-with-source-code/

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Programming, Data Science and Machine Learning Books (Python and R) These books will help you to understand the processes involved in data science workflow and become a data science professional. 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/programming-data-science-and-machine-learning-books-python-and-r-bfcc7f47492

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How to Solve Any Code Challenge or Algorithm Good code is abstract, so let’s apply that same logic to our problem solving! These steps are not specific and can be applied to most code challenges. (Edsger Dijkstra) 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://medium.com/swlh/how-to-solve-any-code-challenge-or-algorithm-c66e0bed9dc9

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Image Processing and Data Augmentation Techniques for Computer Vision 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/image-processing-techniques-for-computer-vision-11f92f511e21

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Top 10 Elon Musk Productivity Secrets for Insane Success 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://medium.com/swlh/top-10-elon-musk-productivity-secrets-for-insane-success-dae584c88e03

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Python Image Processing Tutorial (Using OpenCV) In this tutorial, you will learn how you can process images in Python using the OpenCV library. OpenCV is a free open source library used in real-time image processing. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Before getting started, let’s install OpenCV. 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://likegeeks.com/python-image-processing/

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8 Great Websites to Learn New Tech Skills During the Covid-19 Pandemic 1.Join 👉@MachineLearning_DeepLearning_ai 2. Join:https://www.facebook.com/groups/MachineLearningSource/ 3.@ComputerScience_MachineLearning https://medium.com/better-programming/7-great-websites-to-learn-new-tech-skills-c36f39de55b9

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Here are 450 Ivy League courses you can take online right now for free. The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania. 1.Join 👉@MachineLearning_DeepLearning_ai 2. Join:https://www.facebook.com/groups/MachineLearningSource/ 3.@ComputerScience_MachineLearning https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/

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Completely Free Machine Learning Reading List Join: @ComputerScience_MachineLearning https://towardsdatascience.com/completely-free-machine-learning-reading-list-eab0c8990c54

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Here's 7 statistical & machine learning concepts that you should know for #DataScience: Join: https://t.me/ComputerScience_MachineLearning Join: https://t.me/DeepLearning_ai Join: https://www.facebook.com/groups/MachineLearningSource/ 1. Tree Based Methods a. Decision Trees - https://lnkd.in/gBtCk9G b. Random Forest - https://lnkd.in/g9FkczK c. Gradient Boosting Trees - https://lnkd.in/gFPFGsk 2. Linear (Regularized) Models a. Lasso & Ridge - https://lnkd.in/g3dJT-g b. Linear Regression - https://lnkd.in/g7AS6Ar c. Logistic Regression - https://lnkd.in/gq4EyJc 3. Hypothesis Testing & confidence a. A/B Testing - https://lnkd.in/gmeijHV b. Chi Square Test - https://lnkd.in/gG6vz2T c. Statistical Tests - https://lnkd.in/gJcfTsq 4. Resampling Methods a. Bootstrapping and Bagging - https://lnkd.in/gPmm4by b. Cross Validation - https://lnkd.in/gsfsE6y 5. Clustering K-means https://lnkd.in/gvNsp8N 6. Feature Selection https://lnkd.in/gdCBWpB 7. Evaluation Metrics a. Classification Metrics - https://lnkd.in/gxeyC6n b. Regression Metrics - https://lnkd.in/gj4Eg9p

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@DeepLearning_AI channel is moved to 👇👇👇 Join us: https://t.me/MachineLearning_DeepLearning_ai Connect our channel and enjoy latest AI news, courses, books, source codes and so on.. channel description are given below: Join us: @MachineLearning_DeepLearning_ai Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks