Artificial Intelligence
رفتن به کانال در Telegram
🔰 Machine Learning & Artificial Intelligence Free Resources 🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more For Promotions: @love_data
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Artificial Intelligence
کانال Artificial Intelligence (@machinelearning_deeplearning) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 55 321 مشترک است و جایگاه 3 054 را در دسته آموزش و رتبه 6 245 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 55 321 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 28 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 667 و در ۲۴ ساعت گذشته برابر 25 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 6.41% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.33% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 3 547 بازدید دریافت میکند. در اولین روز معمولاً 736 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 29 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند learning, classification, layer, pattern, chatbot تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“🔰 Machine Learning & Artificial Intelligence Free Resources
🔰 Learn Data Science, Deep Learning, Python with Tensorflow, Keras & many more
For Promotions: @love_data”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 29 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
55 321
مشترکین
+2524 ساعت
+1247 روز
+66730 روز
آرشیو پست ها
55 336
Top 7 NLP (Natural Language Processing) Projects to Build in 2025
✅ Sentiment Analyzer – Analyze tweets, reviews, or comments to detect positive or negative tone
✅ Named Entity Recognizer – Extract names, locations, dates from raw text using spaCy or Hugging Face
✅ Chatbot using GPT – Build a chatbot that answers queries using OpenAI’s API or LLMs
✅ Text Summarizer – Create TL;DRs of long articles using extractive or abstractive methods
✅ Topic Modeling App – Use LDA (Latent Dirichlet Allocation) to discover hidden themes in text data
✅ Spam Detection – Classify emails or messages into spam or not-spam with classification models
✅ Resume Parser – Extract structured information like skills, experience, and education from resumes
Perfect for showcasing your NLP skills in real-world applications!
55 336
Use Chat GPT to prepare for your next Interview
This could be the most helpful thing for people aspiring for new jobs.
A few prompts that can help you here are:
💡Prompt 1: Here is a Job description of a job I am looking to apply for. Can you tell me what skills and questions should I prepare for? {Paste JD}
💡Prompt 2: Here is my resume. Can you tell me what optimization I can do to make it more likely to get selected for this interview? {Paste Resume in text}
💡Prompt 3: Act as an Interviewer for the role of a {product manager} at {Company}. Ask me 5 questions one by one, wait for my response, and then tell me how I did. You should give feedback in the following format: What was good, where are the gaps, and how to address the gaps?
💡Prompt 4: I am interviewing for this job given in the JD. Can you help me understand the company, its role, its products, main competitors, and challenges for the company?
💡Prompt 5: What are the few questions I should ask at the end of the interview which can help me learn about the culture of the company?
Free book to master ChatGPT: https://t.me/InterviewBooks/166
ENJOY LEARNING 👍👍
55 336
𝟱 𝗙𝗥𝗘𝗘 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Explore AI, machine learning, and cloud computing — straight from Google and FREE
1. 🌐Google AI for Anyone
2. 💻Google AI for JavaScript Developers
3. ☁️ Cloud Computing Fundamentals (Google Cloud)
4. 🔍 Data, ML & AI in Google Cloud
5. 📊 Smart Analytics, ML & AI on Google Cloud
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/3YsujTV
Enroll for FREE & Get Certified 🎓
55 336
Want to build your first AI agent?
Join a live hands-on session by GeeksforGeeks & Salesforce for working professionals
- Build with Agent Builder
- Assign real actions
- Get a free certificate of participation
Registeration link:👇
https://gfgcdn.com/tu/V4t/
Like for more free resources ❤️
55 336
AI Toolkit Cheat Sheet – Tools & Libraries You Should Know
✅ Python – The foundation language for AI and ML
✅ NumPy & Pandas – Data handling and manipulation
✅ Scikit-learn – Core ML algorithms and model evaluation
✅ TensorFlow & PyTorch – Deep learning frameworks for building and training neural networks
✅ OpenCV – Real-time computer vision and image processing
✅ spaCy & NLTK – Natural Language Processing tools
✅ Hugging Face Transformers – Pre-trained models for NLP tasks like summarization, translation, and Q&A
✅ Gradio & Streamlit – Easy tools to create UI and deploy your AI models
✅ Jupyter Notebook – Interactive coding and experimentation
✅ Google Colab – Cloud-based Jupyter with free GPU support
These tools make it easier to build, test, and deploy AI solutions.
55 336
𝗙𝗥𝗘𝗘 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 😍
Level up your coding skills without spending a dime? 💰
These free interactive platforms will help you learn, practice, and build real projects in HTML, CSS, JavaScript, React, and Python!
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4aJHgh5
Enroll For FREE & Get Certified 🎓
55 336
AI Learning Roadmap for Beginners (2025 Edition)
✅ Step 1: Learn Python
Focus on syntax, functions, loops, and libraries like NumPy & Pandas.
✅ Step 2: Master Math Basics
Brush up on linear algebra, probability, and statistics — key for ML & AI.
✅ Step 3: Dive into Machine Learning
Learn Scikit-learn, regression, classification, clustering, and model evaluation.
✅ Step 4: Explore Deep Learning
Understand neural networks, CNNs, RNNs using TensorFlow or PyTorch.
✅ Step 5: NLP & Computer Vision
Start with sentiment analysis, then move to object detection and image classification.
✅ Step 6: Work on Real Projects
Build a chatbot, image classifier, or recommendation system to showcase your skills.
✅ Step 7: Stay Updated & Deploy
Follow AI news, experiment with tools like Hugging Face, and deploy models using Streamlit or FastAPI.
#ai #roadmap
55 336
Roadmap to Becoming a Python Developer 🚀
1. Basics 🌱
- Learn programming fundamentals and Python syntax.
2. Core Python 🧠
- Master data structures, functions, and OOP.
3. Advanced Python 📈
- Explore modules, file handling, and exceptions.
4. Web Development 🌐
- Use Django or Flask; build REST APIs.
5. Data Science 📊
- Learn NumPy, pandas, and Matplotlib.
6. Projects & Practice💡
- Build projects, contribute to open-source, join communities.
55 336
𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 😍
Mercedes :- https://pdlink.in/3RPLXNM
TechM :- https://pdlink.in/4cws0oN
SE :- https://pdlink.in/42feu5D
Siemens :- https://pdlink.in/4jxhzDR
Dxc :- https://pdlink.in/4ctIeis
EY:- https://pdlink.in/4lwMQZo
Apply before the link expires 💫
55 336
7 Powerful AI Project Ideas to Build Your Portfolio
✅ AI Chatbot – Create a custom chatbot using NLP libraries like spaCy, Rasa, or GPT API
✅ Fake News Detector – Classify real vs fake news using Natural Language Processing and machine learning
✅ Image Classifier – Build a CNN to identify objects (e.g., cats vs dogs, handwritten digits)
✅ Resume Screener – Automate shortlisting candidates using keyword extraction and scoring logic
✅ Text Summarizer – Generate short summaries from long documents using Transformer models
✅ AI-Powered Recommendation System – Suggest products, movies, or courses based on user preferences
✅ Voice Assistant Clone – Build a basic version of Alexa or Siri with speech recognition and response generation
These projects are not just for learning—they’ll also impress recruiters!
#ai #projects
55 336
𝗝𝗣 𝗠𝗼𝗿𝗴𝗮𝗻 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍
JPMorgan offers free virtual internships to help you develop industry-specific tech, finance, and research skills.
- Software Engineering Internship
- Investment Banking Program
- Quantitative Research Internship
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4gHGofl
Enroll For FREE & Get Certified 🎓
55 336
7 AI Career Paths to Explore in 2025
✅ Machine Learning Engineer – Build, train, and optimize ML models used in real-world applications
✅ Data Scientist – Combine statistics, ML, and business insight to solve complex problems
✅ AI Researcher – Work on cutting-edge innovations like new algorithms and AI architectures
✅ Computer Vision Engineer – Develop systems that interpret images and videos
✅ NLP Engineer – Focus on understanding and generating human language with AI
✅ AI Product Manager – Bridge the gap between technical teams and business needs for AI products
✅ AI Ethics Specialist – Ensure AI systems are fair, transparent, and responsible
Pick your path and go deep — the future needs skilled minds behind AI.
#ai #career
55 336
𝗔𝗜 & 𝗠𝗟 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Qualcomm—a global tech giant offering completely FREE courses that you can access anytime, anywhere.
✅ 100% Free — No hidden charges, subscriptions, or trials
✅ Created by Industry Experts
✅ Self-paced & Online — Learn from anywhere, anytime
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/3YrFTyK
Enroll Now & Get Certified 🎓
55 336
I can't believe people still spend hours on problem-solving when there is AI.
(And no. I'm not talking about basic problem solving)
Problem solving becomes efficient when humans and AI work together.
✅ Write a prompt
✅ Get a solution from ChatGPT
✅ Follow up and keep brainstorming till you get the best solution
Problem-solving techniques on which you can collaborate with ChatGPT:
✅ Decision Matrix: Compare options based on weighted criteria.
✅ Force Field Analysis: Analyze forces for and against a change.
✅ SWOT Analysis: Evaluate strengths, weaknesses, opportunities, and threats.
✅ First Principles Thinking: Break down complex problems to fundamental truths.
✅ MECE Principle: Organize information into mutually exclusive, collectively exhaustive categories.
And more covered in the infographic below.
55 336
7 Must-Know Concepts in Artificial Intelligence (2025 Edition)
✅ Natural Language Processing (NLP) – Powering chatbots, translators, and text summarizers like ChatGPT
✅ Computer Vision – Enabling machines to “see” through image classification, object detection, and facial recognition
✅ Reinforcement Learning – Training agents to make decisions through rewards and penalties (used in robotics & gaming)
✅ Deep Learning – Neural networks that learn from vast amounts of data (CNNs, RNNs, Transformers)
✅ Prompt Engineering – Crafting effective prompts to guide AI models like GPT-4 and Claude
✅ Explainable AI (XAI) – Making AI decisions interpretable and transparent for trust and accountability
✅ Generative AI – Creating text, images, code, music, and more (DALL·E, Sora, Midjourney, etc.)
React if you're exploring the mind-blowing world of AI!
Free AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
55 336
𝟯 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to build your tech career without breaking the bank?💰
These 3 completely free courses are all you need to begin your journey in programming and data analysis📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3EtHnBI
Learn at your own pace, sharpen your skills, and showcase your progress on LinkedIn or your resume. Let’s dive in!✅️
55 336
Here are 8 concise tips to help you ace a technical AI engineering interview:
𝟭. 𝗘𝘅𝗽𝗹𝗮𝗶𝗻 𝗟𝗟𝗠 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 - Cover the high-level workings of models like GPT-3, including transformers, pre-training, fine-tuning, etc.
𝟮. 𝗗𝗶𝘀𝗰𝘂𝘀𝘀 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - Talk through techniques like demonstrations, examples, and plain language prompts to optimize model performance.
𝟯. 𝗦𝗵𝗮𝗿𝗲 𝗟𝗟𝗠 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 - Walk through hands-on experiences leveraging models like GPT-4, Langchain, or Vector Databases.
𝟰. 𝗦𝘁𝗮𝘆 𝘂𝗽𝗱𝗮𝘁𝗲𝗱 𝗼𝗻 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 - Mention latest papers and innovations in few-shot learning, prompt tuning, chain of thought prompting, etc.
𝟱. 𝗗𝗶𝘃𝗲 𝗶𝗻𝘁𝗼 𝗺𝗼𝗱𝗲𝗹 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀 - Compare transformer networks like GPT-3 vs Codex. Explain self-attention, encodings, model depth, etc.
𝟲. 𝗗𝗶𝘀𝗰𝘂𝘀𝘀 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 - Explain supervised fine-tuning, parameter efficient fine tuning, few-shot learning, and other methods to specialize pre-trained models for specific tasks.
𝟳. 𝗗𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 - From tokenization to embeddings to deployment, showcase your ability to operationalize models at scale.
𝟴. 𝗔𝘀𝗸 𝘁𝗵𝗼𝘂𝗴𝗵𝘁𝗳𝘂𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 - Inquire about model safety, bias, transparency, generalization, etc. to show strategic thinking.
Free AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
55 336
𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱😍
Want to learn AI from the best without spending a rupee?
These 5 FREE courses from Harvard and Stanford will help you understand Artificial Intelligence, Deep Learning, NLP, and more—straight from the experts📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4lphMdX
🚀 Learn from the Best, for Free
