Artificial Intelligence

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🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM

Network:Zero To Mastery India4 348 Technologies & Applications1 719...

📈 Analytical overview of Telegram channel Artificial Intelligence

Channel Artificial Intelligence (@artificial_intelligence_com) in the English language segment is an active participant. Currently, the community unites 72 425 subscribers, ranking 1 719 in the Technologies & Applications category and 4 348 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 72 425 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 405 over the last 30 days and by -37 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.63%. Within the first 24 hours after publication, content typically collects 1.94% reactions from the total number of subscribers.
Post reach: On average, each post receives 4 801 views. Within the first day, a publication typically gains 1 407 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 11.
Thematic interests: Content is focused on key topics such as learning, linkedin, linux, udemy, 040k|.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM”

Thanks to the high frequency of updates (latest data received on 31 August, 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.

72 425

Subscribers

-3724 hours

-1227 days

+40530 days

4 801

Post views

~ 1 40724 hours

~ 1 86648 hours

6.63%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

72 425

🖥 Machine Learning Time Complexity

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Here are 5 beginner-to-advanced AI projects that will actually teach you the skills companies are hiring for: 1️⃣ Synthetic medical records with GANs 2️⃣ Image generation with GANs 3️⃣ Creative text generation with LLMs 4️⃣ Building AI agents with CrewAI 5️⃣ Multimodal AI models

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📱Machine Learning 📱AI Workshop: Building AI Applications with Hugging Face Models

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🔅 AI Workshop: Building AI Applications with Hugging Face Models 📝 Learn to develop AI applications for sentiment analysis, object detection, and speech recognition using Hugging Face's advanced models in this hands-on, project-based course. 🌐 Author: Dhhyey Desai 🔰 Level: Intermediate ⏰ Duration: 34m 📋 Topics: AI Software Development, Applied Machine Learning 🔗 Join Machine Learning for more courses

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Confusion matrix is one of the important topic in machine learning because matrix like precision, recall and f1 score is calculated using it's values.

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37 - Model Selection.zip260.40 MB

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--- Part 10: Model Selection & Boosting ---

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34 - Principal Component Analysis (PCA).zip192.40 MB

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--- Part 9: Dimensionality Reduction ---

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31 - Deep Learning.zip42.02 MB

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--- Part 8: Deep Learning ---

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30 - Natural Language Processing.zip554.77 MB

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--- Part 7: Natural Language Processing ---

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28 - Upper Confidence Bound (UCB).zip429.46 MB

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--- Part 6: Reinforcement Learning ---

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26 - Apriori.zip400.42 MB

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--- Part 5: Association Rule Learning ---

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24 - K-Means Clustering.zip55.52 MB

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--- Part 4: Clustering ---

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14 - Classification.zip7.59 MB