Computer Science and Programming

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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:

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Индия29 515 Технологии и приложения8 732...

📈 Аналитический обзор Telegram-канала Computer Science and Programming

Канал Computer Science and Programming (@machinelearning_programming) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 14 846 подписчиков, занимая 8 732 место в категории Технологии и приложения и 29 515 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 14 846 подписчиков.

Согласно последним данным от 05 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -151, а за последние 24 часа — -2, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 14.64%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 0 просмотров. В течение первых суток публикация набирает 0 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, github, engineer, quantization, detection.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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:”

Благодаря высокой частоте обновлений (последние данные получены 06 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

14 846

Подписчики

-224 часа

-297 дней

-15130 день

2 173

Просмотры поста

Нет данных24 часа

Нет данных48 часов

14.64%

Коэффициент вовлеченности

Нет данных

Постов в день

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Архив постов

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

14 846

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

14 846

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