Artificial Intelligence

Open in Telegram

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

Network:Zero To Mastery India4 624 Technologies & Applications1 835...

📈 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 70 756 subscribers, ranking 1 835 in the Technologies & Applications category and 4 624 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 70 756 subscribers.

According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 941 over the last 30 days and by 47 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 7.08%. Within the first 24 hours after publication, content typically collects 1.48% reactions from the total number of subscribers.
Post reach: On average, each post receives 5 008 views. Within the first day, a publication typically gains 1 044 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
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 25 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.

70 756

Subscribers

+4724 hours

+2227 days

+94130 days

5 008

Post views

~ 1 04424 hours

~ 1 43448 hours

7.08%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

70 756

🖥 Step by step Learning Guide for ML

70 756

֎ New: ChatGPT users can now build real apps directly from chat ChatGPT's app store just added AppDeploy, and it works with free accounts too. Describe what you want to build, ChatGPT writes the code, AppDeploy handles deployment automatically inside the same chat, and you get a working link back right away. AppDeploy includes the infrastructure needed for real apps: 🔐 User login and permissions 🗄 Storage, database, realtime sync and notifications 🤖 Built in AI capabilities ☁️ Full backend, background jobs and scheduled tasks 🧪 Automatic QA for every change and built in versioning 🌐 Custom domains, secrets management and more Free to use. No subscription or credit card required. 👉 Install AppDeploy in ChatGPT and launch your first app in a few minutes

70 756

🖥 Machine Learning Time Complexity

70 756

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

70 756

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

70 756

🔅 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

70 756

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.

70 756

37 - Model Selection.zip260.40 MB

70 756

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

70 756

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

70 756

--- Part 9: Dimensionality Reduction ---

70 756

31 - Deep Learning.zip42.02 MB

70 756

--- Part 8: Deep Learning ---

70 756

30 - Natural Language Processing.zip554.77 MB

70 756

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

70 756

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

70 756

--- Part 6: Reinforcement Learning ---

70 756

26 - Apriori.zip400.42 MB

70 756

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

70 756

24 - K-Means Clustering.zip55.52 MB