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:

India29 532 Technologies & Applications8 736...

📈 Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@machinelearning_programming) in the English language segment is an active participant. Currently, the community unites 14 846 subscribers, ranking 8 736 in the Technologies & Applications category and 29 532 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 846 subscribers.

According to the latest data from 04 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -152 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 14.63%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as learning, github, engineer, quantization, detection.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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:”

Thanks to the high frequency of updates (latest data received on 05 June, 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.

14 846

Subscribers

-724 hours

-277 days

-15230 days

2 173

Post views

No data24 hours

No data48 hours

14.63%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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

14 846

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

14 846

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

14 846

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