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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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📈 Аналитический обзор Telegram-канала Artificial Intelligence

Канал Artificial Intelligence (@machinelearning_deeplearning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 55 402 подписчиков, занимая 3 050 место в категории Образование и 6 211 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 55 402 подписчиков.

Согласно последним данным от 30 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 683, а за последние 24 часа — 41, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.87%. В первые 24 часа после публикации контент обычно набирает 1.33% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 3 250 просмотров. В течение первых суток публикация набирает 736 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 25.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, classification, layer, pattern, chatbot.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

Благодаря высокой частоте обновлений (последние данные получены 31 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

55 402
Подписчики
+4124 часа
+1517 дней
+68330 день
Архив постов
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.