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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 53 145 подписчиков, занимая 3 255 место в категории Образование и 7 070 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 53 145 подписчиков.

Согласно последним данным от 08 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 1 046, а за последние 24 часа — 6, 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 1.81% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 3 118 просмотров. В течение первых суток публикация набирает 961 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 11.
  • 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 09 июня, 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.

53 145
Подписчики
+624 часа
+1887 дней
+1 04630 день
Архив постов
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🔗 AI Engineer Roadmap
🔗 AI Engineer Roadmap

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Build your career in Data & AI! I just signed up for Hack the Future: A Gen AI Sprint Powered by Data—a nationwide hackathon
Build your career in Data & AI! I just signed up for Hack the Future: A Gen AI Sprint Powered by Data—a nationwide hackathon where you'll tackle real-world challenges using Data and AI. It’s a golden opportunity to work with industry experts, participate in hands-on workshops, and win exciting prizes. Highly recommended for working professionals looking to upskill or transition into the AI/Data space. If you're looking to level up your skills, network with like-minded folks, and boost your career, don't miss out! Register now: https://gfgcdn.com/tu/UO5/

10 New & Trending AI Concepts You Should Know in 2025Retrieval-Augmented Generation (RAG) – Combines search with generative AI for smarter answers ✅ Multi-Modal Models – AI that understands text, image, audio, and video (like GPT-4V, Gemini) ✅ Agents & AutoGPT – AI that can plan, execute, and make decisions with minimal input ✅ Synthetic Data Generation – Creating fake yet realistic data to train AI models ✅ Federated Learning – Train models without moving your data (privacy-first AI) ✅ Prompt Engineering – Crafting prompts to get the best out of LLMs ✅ Fine-Tuning & LoRA – Customize big models for specific tasks with minimal resources ✅ AI Safety & Alignment – Making sure AI systems behave ethically and predictably ✅ TinyML – Running ML models on edge devices with very low power (IoT focus) ✅ Open-Source LLMs – Rise of models like Mistral, LLaMA, Mixtral challenging closed-source giants Free AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y ENJOY LEARNING 👍👍

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10 Python Libraries Every AI Developer Should KnowNumPy – Foundation for numerical computing in Python ✅ Pandas – Data manipulation and analysis made easy ✅ Scikit-learn – Powerful library for classical ML models ✅ TensorFlow – End-to-end open-source ML platform by Google ✅ PyTorch – Deep learning framework loved by researchers ✅ Matplotlib – Create stunning data visualizations ✅ Seaborn – High-level interface for drawing statistical plots ✅ NLTK – Toolkit for working with human language data (NLP) ✅ OpenCV – Real-time computer vision made simple ✅ Hugging Face Transformers – Pretrained models for NLP, CV, and more React with ❤️ for more

Python For Everything!🐍 Python, the versatile language, can be combined with various libraries to build amazing things:🚀 1.
Python For Everything!🐍 Python, the versatile language, can be combined with various libraries to build amazing things:🚀 1. Python + Pandas = Data Manipulation 2. Python + Scikit-Learn = Machine Learning 3. Python + TensorFlow = Deep Learning 4. Python + Matplotlib = Data Visualization 5. Python + Seaborn = Advanced Visualization 6. Python + Flask = Web Development 7. Python + Pygame = Game Development 8. Python + Kivy = Mobile App Development #Python

𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Learn AI for FREE with these incredible courses by Google!
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Stanford’s Machine Learning - by Andrew Ng A complete lecture notes of 227 pages. Available Free. Download the notes: cs229.s
+1
Stanford’s Machine Learning - by Andrew Ng A complete lecture notes of 227 pages. Available Free. Download the notes: cs229.stanford.edu/main_notes.pdf
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Hey folks! Just curious — where are you in your Data & AI journey?
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Artificial Intelligence: Here are 10 ChatGPT-4o Prompts you need to know to Dominate and Excel at any job interview: 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. 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. 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. 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 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] 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. 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. 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. 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. 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

𝗛𝗼𝘄 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to break into Financial Data Anal
𝗛𝗼𝘄 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍 Want to break into Financial Data Analytics but don’t know where to start? Here’s your ultimate step-by-step roadmap to landing a job in this high-demand field. 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/42aGUwb 🎯 🚀 Ready to Start?

Free Artificial Intelligence Courses 👇👇 https://academy.openai.com/public/content #ai

Free Artificial Intelligence Courses 👇👇 https://academy.openai.com/public/content #ai

💡 8 DeepSeek prompts for quick learning
💡 8 DeepSeek prompts for quick learning

The Ultimate ChatGPT Prompting Hack 🤯 This Ultimate Cheat Sheet Will Transform the Way You Use ChatGPT Forever. Learn How to
The Ultimate ChatGPT Prompting Hack 🤯 This Ultimate Cheat Sheet Will Transform the Way You Use ChatGPT Forever. Learn How to Act as Any Expert, Create Any Content, and Format It Perfectly.

𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Upgrade Your Tech Skills in 2025—For FREE! 🔹 Introduction t
𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Upgrade Your Tech Skills in 2025—For FREE! 🔹 Introduction to Cybersecurity 🔹 Networking Essentials 🔹 Introduction to Modern AI 🔹 Discovering Entrepreneurship 🔹 Python for Beginners 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4chn8Us Enroll For FREE & Get Certified 🎓