Artificial Intelligence
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This Channel is to spread knowledge on Artificial Intelligence.❤️ We are here to simplify and understand everything about Artificial Intelligence.🤖 Join us in this mission.❤️ Let’s Grow Together.😍 eduai.web@gmail.com
Show more📈 Analytical overview of Telegram channel Artificial Intelligence
Channel Artificial Intelligence (@artificial_intelligence_ai) in the English language segment is an active participant. Currently, the community unites 15 875 subscribers, ranking 7 004 in the Technologies & Applications category and 4 905 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 875 subscribers.
According to the latest data from 23 September, 2025, the channel demonstrates stable activity. Although there has been a change in the number of participants by 102 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0%. 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.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“This Channel is to spread knowledge on Artificial Intelligence.❤️
We are here to simplify and understand everything about Artificial Intelligence.🤖
Join us in this mission.❤️
Let’s Grow Together.😍
eduai.web@gmail.com”
Thanks to the high frequency of updates (latest data received on 24 September, 2025), 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.
15 875
Subscribers
No data24 hours
+87 days
+10230 days
Posts Archive
15 875
Methods to Detect Anomaly! 2.Machine Learning Methods
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us to grow
https://youtube.com/shorts/zpE3bDi2oa0?si=gzQN3KyGvIT9XRhB
15 875
Methods to Detect Anomaly! 1.Statistical Method
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us to grow
https://youtube.com/shorts/Z_ZcYkqs4i0?si=yNfmRCf6kYOnhws7
15 875
https://www.instagram.com/p/C4kLqCnL2nG/?igsh=MWN2aHhydXM5b3libQ==
AI Tools for Everyone 🔥 🙌
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.
15 875
@Artificial_intelligence_ai
ZHEM: An Integrated Data Processing Framework for Pretraining Foundation Models
🖥 Github: https://github.com/emanual20/zhem
📕 Paper: https://arxiv.org/pdf/2402.16358v1.pdf
🔥Dataset: https://paperswithcode.com/dataset/wikitext-2
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
Types of Anomaly Detection! 3.Collective Anomalies
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https://youtube.com/shorts/xCZKuR-vZJQ?si=KTdvWrDU3V3-cD6f
15 875
https://www.instagram.com/p/C4ca97nLwXl/?igsh=MXdkdDN5eGNyZGQybA==
Python Liabraries for Generative AI
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.
15 875
https://www.instagram.com/p/C4XOFoLrNs_/?igsh=MTkzeGFpejd2dTI0cw==
Pandas Dataframe cheat sheet 🔥
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.
15 875
Types of Anomaly Detection! 2.Contextual Anomalies
Watch this video to know more
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https://youtube.com/shorts/LIZDn0JyX1g?si=EP9MR1Kg8KaJ_dxR
15 875
Types of Anomaly Detection! 1.Global Outliers
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https://youtube.com/shorts/kq_nhzHZZo8?si=wYpDVCTr5nESfN1j
15 875
What is Anomaly Detection?
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https://youtube.com/shorts/RMRnRtifqzY?si=H5RaW0K-hvvPyf3w
15 875
Google’s MASSIVE update: Gemini come to workspace ( Gmail, Docs, Sheets, Slide)
https://youtu.be/81xd_W1v8pE?si=4O3Yf5caNQ2lsoc3
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
Google’s Advanced Gemini is Here! Hands-on with Gemini Advanced Feature
https://youtu.be/-zgxCsdVQqs?si=-Fvr2mW-j-GTU_Pf
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
Gemini Example, How to use google’s AI, Gemini ? Hands on experience
https://youtu.be/jTdouaDuUOA?si=ykIyanFHQfooR8Pz
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
Google’s Gemini shocked AI industry, Is Gemini better than ChatGpt? know the truth, AI race is ON
https://youtu.be/g2LCb8nhUy8?si=YVBBLMcqls05SYdQ
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
https://www.instagram.com/p/C4KXfMVLoyF/?igsh=MXEwcHdkaGU2ZDhvaQ==
ETL Process for Data Analytics 🙌
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.
15 875
@Artificial_intelligence_ai
Energy-Time-series-anomaly-detection
🖥 Github: https://github.com/HardikPrabhu/Energy-Time-series-anomaly-detection
📕 Paper: https://arxiv.org/pdf/2402.14384v1.pdf
✨ Tasks: https://paperswithcode.com/task/anomaly-detection
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
https://www.instagram.com/p/C4FtoSmxrQY/?igsh=ejdpanQ4azlyOXJ4
Data Cleaning Cycle 🙌
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.
15 875
When to apply KNN and K-Means?
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us to grow
https://youtube.com/shorts/eFihEe2HXvY?si=IOpri9McBQsj1qL2
15 875
https://www.instagram.com/p/C3_87yKLii0/?igsh=aDB1ZmI0Z3B6a21v
15 Essential Tips for Data Visualization 🔥
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisions on how to move from one point to another.
