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Artificial Intelligence

Artificial Intelligence

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🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

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📈 Analytical overview of Telegram channel Artificial Intelligence

Channel Artificial Intelligence (@machinelearning_deeplearning) in the English language segment is an active participant. Currently, the community unites 55 402 subscribers, ranking 3 050 in the Education category and 6 211 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 55 402 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 683 over the last 30 days and by 41 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.87%. Within the first 24 hours after publication, content typically collects 1.33% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 250 views. Within the first day, a publication typically gains 736 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 25.
  • Thematic interests: Content is focused on key topics such as learning, classification, layer, pattern, chatbot.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

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 Education category.

55 402
Subscribers
+4124 hours
+1517 days
+68330 days
Posts Archive
Gradient_descent.pdf2.00 KB

Artificial Intelligence Market Size
Artificial Intelligence Market Size

How to master ChatGPT-4o.... The secret? Prompt engineering. These 9 frameworks will help you! APE ↳ Action, Purpose, Expectation Action: Define the job or activity. Purpose: Discuss the goal. Expectation: State the desired outcome. RACE ↳ Role, Action, Context, Expectation Role: Specify ChatGPT's role. Action: Detail the necessary action. Context: Provide situational details. Expectation: Describe the expected outcome. COAST ↳ Context, Objective, Actions, Scenario, Task Context: Set the stage. Objective: Describe the goal. Actions: Explain needed steps. Scenario: Describe the situation. Task: Outline the task. TAG ↳ Task, Action, Goal Task: Define the task. Action: Describe the steps. Goal: Explain the end goal. RISE ↳ Role, Input, Steps, Expectation Role: Specify ChatGPT's role. Input: Provide necessary information. Steps: Detail the steps. Expectation: Describe the result. TRACE ↳ Task, Request, Action, Context, Example Task: Define the task. Request: Describe the need. Action: State the required action. Context: Provide the situation. Example: Illustrate with an example. ERA ↳ Expectation, Role, Action Expectation: Describe the desired result. Role: Specify ChatGPT's role. Action: Specify needed actions. CARE ↳ Context, Action, Result, Example Context: Set the stage. Action: Describe the task. Result: Describe the outcome. Example: Give an illustration. ROSES ↳ Role, Objective, Scenario, Expected Solution, Steps Role: Specify ChatGPT's role. Objective: State the goal or aim. Scenario: Describe the situation. Expected Solution: Define the outcome. Steps: Ask for necessary actions to reach solution. Join for more: https://t.me/machinelearning_deeplearning

Andrew Ng's course on ChatGPT Prompt Engineering for Developers, created together with OpenAI, is available now for free! 👇👇 https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

10. Explaining Career Transitions: How can I effectively explain a career transition to [JOB TITLE] in [SPECIFIC INDUSTRY] during an interview? Given my background in [previous industry or role] and my recent [relevant education, certification, experience], provide a narrative that connects my previous experiences to the new role, highlighting transferable skills and relevant achievements. ChatGPT PROMPTS Series

9. Dealing with Gaps in Employment: How should I address gaps in my employment history during an interview for the [JOB TITLE] position in [SPECIFIC INDUSTRY]? Considering that during this period I [explain what you did: pursued education, volunteered, freelanced, etc.], provide a response that explains the gaps positively and focuses on what I’ve learned during that time.

8. Handling Behavioral Questions: How can I best respond to behavioral interview questions for a [JOB TITLE] role? Given my experience in [specific past role or project], provide strategies and examples to answer questions about teamwork, conflict resolution, and leadership.

7. Dealing with Gaps in Employment: What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Considering our discussion on [specific topics discussed during the interview], craft a professional and thoughtful thank-you email that reiterates my interest, highlights key points from our conversation, and emphasizes how my background in [specific skills or experiences] aligns with the company’s needs.

6. Showcasing Soft Skills: How can I effectively highlight my soft skills, such as communication and teamwork, during an interview for the [JOB TITLE] role in [SPECIFIC INDUSTRY]? Please provide examples and scenarios that demonstrate these skills in action.

5. Post-Interview Follow-Up: What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Based on our discussion about [specific project, skill, or topic discussed during the interview], draft a professional and personalized thank-you email that not only reiterates my enthusiasm for the role but also highlights how my experience in [specific relevant experience or achievement] can directly contribute to the success of [SPECIFIC COMPANY]

4. Negotiating Salary: How should I approach salary negotiations for a [JOB TITLE] role at [SPECIFIC COMPANY]? Please provide a script or key points to emphasize based on industry standards and my qualifications. ChatGPT PROMPTS Series

3. Overcoming Weaknesses: How should I address the common interview question: 'What is your greatest weakness?' in the context of a [JOB TITLE] role in [SPECIFIC INDUSTRY]? Provide a response that turns the weakness into a positive aspect.

2. Mock Interview Practice: Create a mock interview scenario for the [JOB TITLE] role at [SPECIFIC COMPANY]. Include 5 common and challenging questions I might face, and provide guidance on how to answer each effectively.

1. Developing STAR Method Responses: Help me craft a STAR (Situation, Task, Action, Result) response to the interview question: [INSERT QUESTION] for the [JOB TITLE] role. Ensure the response is clear, concise, and demonstrates my impact in previous roles.

Here are 10 ChatGPT-4o Prompts you need to know to Dominate and Excel at any job interview:

#meme
#meme

Data Science Essentials in Python.pdf5.01 MB

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8. Set up the user interface and trigger the main function. • Provides an input field for the user's question • Triggers the
8. Set up the user interface and trigger the main function. • Provides an input field for the user's question • Triggers the main function when the user clicks "Get Answer"

7. Define the main function to run all LLMs and aggregate results. • Runs all reference models asynchronously • Displays indi
7. Define the main function to run all LLMs and aggregate results. • Runs all reference models asynchronously • Displays individual responses in expandable sections • Aggregates responses using the aggregator model • Streams the aggregated response.