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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

Ko'proq ko'rsatish

📈 Telegram kanali Artificial Intelligence analitikasi

Artificial Intelligence (@machinelearning_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 55 321 obunachidan iborat bo'lib, Taʼlim toifasida 3 054-o'rinni va Hindiston mintaqasida 6 245-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 55 321 obunachiga ega bo‘ldi.

28 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 667 ga, so‘nggi 24 soatda esa 25 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.41% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.33% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 3 547 marta ko‘riladi; birinchi sutkada odatda 736 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 29 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, classification, layer, pattern, chatbot kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

55 321
Obunachilar
+2524 soatlar
+1247 kunlar
+66730 kunlar
Postlar arxiv
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!
𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍  Learn AI for FREE with these incredible courses by Google! Whether you’re a beginner or looking to sharpen your skills, these resources will help you stay ahead in the tech game. 𝐋𝐢𝐧𝐤 👇:-  https://pdlink.in/3FYbfGR Enroll For FREE & Get Certified🎓

Hi guys 👋 Since many of you were asking me to send Interview Questions & Free Resources So I have come with a FREE Placement Training Session for you!! 👨🏻‍💻 👩🏻‍💻 Register here 👇👇 https://bit.ly/4clYemH This is a life-changing opportunity This will help you to speed up your job hunting process 💪 Slots are free for limited time only - Register Fast Like for more free sessions ❤️ ENJOY LEARNING 👍👍

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
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras ✅

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 🎓

𝗛𝗼𝘄 𝘁𝗼 𝗽𝗿𝗼𝗺𝗽𝘁 𝗶𝗻 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗮𝗻𝗱 𝗚𝗲𝗺𝗶𝗻𝗶 𝗶𝗻 𝟳 𝘀𝘁𝗲𝗽𝘀 1. Assign personas 2. Define your task 3. Set the tone 4. Break it down 5. Format and limits 6. Provide examples 7. Refine the prompt

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AI model capabilities table 👆 - Gemini 2.5 is now the best at coding - ChatGPT is by far the best at image gen This stuff ch
AI model capabilities table 👆 - Gemini 2.5 is now the best at coding - ChatGPT is by far the best at image gen This stuff changes fast.

𝟰 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - Introduction to SQL (Simplilearn) - Intro to SQL (Kaggle) -
𝟰 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - Introduction to SQL (Simplilearn)  - Intro to SQL (Kaggle)  - Introduction to Database & SQL Querying  - SQL for Beginners – Microsoft SQL Server  Start Learning Today – 4 Free SQL Courses 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/42nUsWr Enroll For FREE & Get Certified 🎓

Artificial Intelligence – Essential Concepts 🚀 1️⃣ Types of AI Narrow AI (Weak AI) – Specialized in one task (Chatbots, Recommendation Systems). General AI (Strong AI) – Human-like intelligence (Still theoretical). Super AI – Beyond human intelligence (Future concept). 2️⃣ AI vs. Machine Learning vs. Deep Learning AI – Broad field of simulating human intelligence. Machine Learning – Subset of AI that learns from data. Deep Learning – Subset of ML using neural networks. 3️⃣ Key AI Techniques Machine Learning – Regression, Classification, Clustering. Deep Learning – Neural Networks (ANN, CNN, RNN). Natural Language Processing (NLP) – Text analysis, ChatGPT, Sentiment Analysis. Computer Vision – Object detection, Image recognition. Reinforcement Learning – AI learns from rewards (AlphaGo, Robotics). 4️⃣ AI Tools & Frameworks TensorFlow, PyTorch – Deep learning. Scikit-learn – Machine learning. OpenCV – Computer vision. NLTK, SpaCy – NLP. 5️⃣ AI in Real Life Chatbots – ChatGPT, Google Bard. Self-Driving Cars – Tesla, Waymo. Healthcare AI – Disease detection, AI-assisted diagnosis. Finance AI – Fraud detection, Stock predictions. 6️⃣ AI Ethics & Challenges Bias in AI – Fairness in model predictions. Data Privacy – GDPR, Responsible AI. AI Explainability – Making AI decisions transparent. Job Automation – AI replacing repetitive jobs. 7️⃣ Future of AI AI & Quantum Computing – Next-gen AI speed. Autonomous AI Agents – Self-learning AI systems. AGI (Artificial General Intelligence) – Machines thinking like humans. Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E

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Essential Skills to Master for Using Generative AI 1️⃣ Prompt Engineering ✍️ Learn how to craft clear, detailed prompts to get accurate AI-generated results. 2️⃣ Data Literacy 📊 Understand data sources, biases, and how AI models process information. 3️⃣ AI Ethics & Responsible Usage ⚖️ Know the ethical implications of AI, including bias, misinformation, and copyright issues. 4️⃣ Creativity & Critical Thinking 💡 AI enhances creativity, but human intuition is key for quality content. 5️⃣ AI Tool Familiarity 🔍 Get hands-on experience with tools like ChatGPT, DALL·E, Midjourney, and Runway ML. 6️⃣ Coding Basics (Optional) 💻 Knowing Python, SQL, or APIs helps customize AI workflows and automation. 7️⃣ Business & Marketing Awareness 📢 Leverage AI for automation, branding, and customer engagement. 8️⃣ Cybersecurity & Privacy Knowledge 🔐 Learn how AI-generated data can be misused and ways to protect sensitive information. 9️⃣ Adaptability & Continuous Learning 🚀 AI evolves fast—stay updated with new trends, tools, and regulations. Master these skills to make the most of AI in your personal and professional life! 🔥