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

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India7 041 Education3 256...

📈 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 53 161 subscribers, ranking 3 256 in the Education category and 7 041 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 53 161 subscribers.

According to the latest data from 09 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 045 over the last 30 days and by 38 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.69%. Within the first 24 hours after publication, content typically collects 1.68% reactions from the total number of subscribers.
Post reach: On average, each post receives 3 022 views. Within the first day, a publication typically gains 892 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
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 10 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 Education category.

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Subscribers

+3824 hours

+1977 days

+1 04530 days

3 022

Post views

~ 89224 hours

~ 1 13048 hours

5.69%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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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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Keep yourself updated with Artificial Intelligence & latest technology 👇👇 https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E

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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 changes fast.

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Repost from Web Development & Javascript Notes - Frontend Resources

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 🎓

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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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📈How to make $15,000 in a month in 2025? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market! She was able to make over $15,000 in the last month! ❗️ Right now she has started a marathon on her channel and is running it absolutely free. 💡 To participate in the marathon, you will need to : 1. Subscribe to the channel Jay Mo || Trader 📈 2. Write in private messages : “Marathon” and start participating! 👉CLICK HERE👈

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Ad 👇👇

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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! 🔥

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🎓 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗢𝗽𝗲𝗻 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄 & 𝗨𝗽𝘀𝗸𝗶𝗹𝗹!😍 If you’re just starting your learning journey or looking to level up your skills—this is your golden opportunity! 🌟 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cuo73X ⏳ Don’t miss out—bookmark this for later!

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How to Make Money with AI 1️⃣ AI-Powered Content Creation 📝 Use AI to write blogs, articles, and scripts for businesses and publications. 2️⃣ AI Art & Design 🎨 Sell AI-generated artwork, logos, and graphics on platforms like Etsy and Fiverr. 3️⃣ AI Video & Voice Generation 🎥 Create AI-edited videos or voiceovers for YouTube, TikTok, and businesses. 4️⃣ AI Chatbots & Automation 🤖 Build and sell AI-powered customer service chatbots for companies. 5️⃣ AI-Powered Marketing 📢 Offer AI-driven ad copywriting, email marketing, and SEO services. 6️⃣ AI-Generated Code & Software 💻 Use AI tools to develop websites, apps, and automation scripts for clients. 7️⃣ AI-Powered Translations & Summaries 🌎 Provide AI-generated translations, text summaries, and transcription services. 8️⃣ AI Courses & Consulting 🎓 Teach AI usage through online courses or offer AI consulting for businesses. 9️⃣ AI Stock Market Predictions 📈 Use AI tools for data-driven stock analysis and financial forecasting. 🔟 AI-Driven E-commerce 🛒 Automate product descriptions, customer support, and ads to boost online sales. AI is a game-changer—start leveraging it to earn! 🚀 Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E

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𝟱 𝗙𝗿𝗲𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝗻𝘀 𝘁𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗶𝗻 𝗧𝗲𝗰𝗵 & 𝗔𝗜!😍 Looking to boost your tech career?🚀 These free learning plans will help you stay ahead in DevOps, AI, Cloud Security, Data Analytics, and Machine Learning!📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4ijtDI2 Perfect for Beginners & Professionals Looking to Upskill!✅️

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ChatGPT can now help you create animations, one frame at a time. You can generate up to 5 images in a row, but it does them slowly and one by one. It’s not perfect yet (character consistency still needs work), but it’s a fun way to make GIFs or short clips. This trick’s kinda slow, kinda messy… but also kinda genius. Ever tried something like this?

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𝟱 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Whether you’re a complete beginner or looking to level up, these courses cover Excel, Power BI, Data Science, and Real-World Analytics Projects to make you job-ready. 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DPkrga All The Best 🎊

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How Generative AI is Used in Different Industries 1️⃣ Marketing & Advertising 📢 AI creates ad copies, designs, and social media posts, making campaigns more engaging and data-driven. 2️⃣ Healthcare 🩺 AI assists in diagnosing diseases, analyzing medical images, and even predicting health risks. 3️⃣ Education 📚 AI-powered tutors provide personalized learning, generate quizzes, and summarize study materials. 4️⃣ Finance 💰 AI detects fraud, automates customer support, and predicts market trends. 5️⃣ Software Development 💻 AI tools suggest code, debug programs, and even generate entire applications. 6️⃣ Content Creation 📝 Writers and designers use AI for generating articles, scripts, graphics, and even music. 7️⃣ E-commerce 🛒 AI recommends products, enhances customer experience, and automates chatbots for support. 8️⃣ Entertainment & Gaming 🎮 AI generates characters, storylines, and even deepfake actors for movies and games. 9️⃣ Cybersecurity 🔐 AI helps detect security threats, prevent cyberattacks, and protect sensitive data. 🔟 Legal & Compliance ⚖️ AI reviews contracts, summarizes legal documents, and ensures regulatory compliance. AI is transforming every industry—those who adapt will stay ahead! 🚀 #generativeai

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𝗧𝗼𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍 Want to work on real industry tasks, develop in-demand skills, and boost your resume—all for FREE? Your dream career starts with real experience—grab this opportunity today! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4bCyUIM 💡 No experience required—just learn, upskill & build your portfolio! 🚀

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Best Free Generative AI Tools You Can Use 1️⃣ ChatGPT (OpenAI) 💬 Great for writing, brainstorming, and answering questions. 2️⃣ DALL·E (OpenAI) 🎨 Generates high-quality AI images from text prompts. 3️⃣ Canva AI 🖌️ Creates stunning designs, social media posts, and presentations. 4️⃣ Runway ML 🎥 AI-powered video editing, background removal, and motion tracking. 5️⃣ DeepL Write ✍️ Improves writing by enhancing grammar and clarity. 6️⃣ Google Bard 📢 A conversational AI model similar to ChatGPT with Google’s latest AI technology. 7️⃣ ElevenLabs 🎙️ Creates realistic AI-generated voiceovers for videos and podcasts. 8️⃣ Jasper AI 📝 Helps generate marketing copy, blog posts, and product descriptions. 9️⃣ Pika Labs 📽️ Turns text into animated videos using AI. 🔟 Leonardo AI 🎨 AI tool for generating artwork, game assets, and digital designs. AI is now more accessible than ever—explore these tools and enhance your workflow! 🚀 #aitools

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Breaking into AI Engineering should be 100% project-based. Here is the simplest way to start: - select a subject you are passionate about. Maybe creating content, coding, product design. - decide on the first feature. Build an agent that can reason, make decisions, and execute tasks. - choose an environment to interact with your agent. It can be your custom UI or 3rd party APIs, like Whatsapp, Discord, etc. - provide tools to your Agent. Wrap functions like web search, file search, or API calls. - use frameworks like Langgraph or OpenAI Agents to connect your components, manage memory, and create a coherent workflow. - trace and monitor your agent's actions with Langsmith or Langfuse, and continue improving.

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👨🏻‍💻- Al/ML Engineer Stage 1 - Python Basics Stage 2 - Statistics & Probability Stage 3 - Linear Algebra & Calculus Stage 4 - Data Preprocessing Stage 5 - Exploratory Data Analysis (EDA) Stage 6 - Supervised Learning Stage 7 - Unsupervised Learning Stage 8 - Feature Engineering Stage 9 - Model Evaluation & Tuning Stage 10 - Deep Learning Basics Stage 11 - Neural Networks & CNNs Stage 12 - RNNs & LSTMs Stage 13 - NLP Fundamentals Stage 14 - Deployment (Flask, Docker) Stage 15 - Build projects