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Your brain doesn't just need caffeine. It also needs constant exposure to: Linear Algebra Probability & Statistics Optimization Machine Learning Theory Deep Learning Information Theory Reinforcement Learning If you're looking for a mix of those things, this account is for you.
A recent study indicates Gen Z is the 1st & only generation to be less intelligent than the one before, making millennials the only generation to outperform the younger generation that followed. They're the 1st generation to score lower on IQ tests, cognitive measures (memory, attention span, problem solving) compared to Millennials, reversing a long term, century long upward trend. This decline is linked to high, daily screen usage, reduced deep-learning, & shorter attention spans. Thoughts?
Free Courses on: 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Dev 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6. AWS Certified + IBM COURSE 7. Data Science + Deep Learning 8. BIG DATA + SQL COMPLETE COURSE 9. Python + OTHERS 10 MBA + HANDWRITTEN NOTES Link ⤵️ #AI #chatgpt #freelancer https://drive.google.com/drive/mobile/folders/1if09a9QyNfBRlAKey7If5preZ3BswudZ
BREAKING: MIT just mass released their Al library for free. Here's the full list of books: Foundations 1. Foundations of Machine Learning Core algorithms explained. Theory meets practice. 2. Understanding Deep Learning Neural networks demystified. Visual explanations included. 3. Machine Learning Systems Production-ready architecture. System design principles. Advanced Techniques 4. Algorithms for ML Computational thinking simplified. Decision-making frameworks.
Free Courses on: 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Dev 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6. AWS Certified + IBM COURSE 7. Data Science + Deep Learning 8. BIG DATA + SQL COMPLETE COURSE 9. Python + OTHERS 10 MBA + HANDWRITTEN NOTES Link ⤵️
The only roadmap to go from 0 to ML/AI Expert Stage1 – Python + NumPy/Pandas Stage2 – Linear Algebra + Calculus Stage3 – SQL + PySpark Stage4 – ML Fundamentals (Scikit-learn) Stage5 – Implement ML in a Project Stage6 – Deep Learning (PyTorch 2.0) Stage7 – Computer Vision (YOLOv9) Stage8 – NLP + Transformers + RAG Stage9 – MLOps (Kubeflow/MLFlow) Stage10 – Agentic AI (AutoGen/LangGraph) Stage11 – Production (Ray + Vertex AI) Follow this roadmap to succeed!
Say Hi if you’re into: • Data Science • Machine Learning • Python • SQL • Data Analytics • Deep Learning • NLP / CV / RL Let’s connect! 🤝 Need some good connection circle.
The only roadmap to go from 0 to ML/AI Expert Stage1 – Python + NumPy/Pandas Stage2 – Linear Algebra + Calculus Stage3 – SQL + PySpark Stage4 – ML Fundamentals (Scikit-learn) Stage5 – Implement ML in a Project Stage6 – Deep Learning (PyTorch 2.0) Stage7 – Computer Vision (YOLOv9) Stage8 – NLP + Transformers + RAG Stage9 – MLOps (Kubeflow/MLFlow) Stage10 – Agentic AI (AutoGen/LangGraph) Stage11 – Production (Ray + Vertex AI) Follow this roadmap to succeed!
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 – 𝗡𝗼𝘁𝗲 (𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗛𝗮𝗻𝗱 𝗪𝗿𝗶𝘁𝘁𝗲𝗻) Excited to share a handwritten notes on Machine Learning, covering key concepts, algorithms, and insights - Linear & Logistic Regression - Decision Trees & Random Forest - Support Vector Machines (SVM) - K-Means & KNN - Gradient Boosting (XGBoost, AdaBoost) - Neural Networks & Deep Learning All in one place — simplified and easy to follow DM me on Insta for the PDF file.
Most people say they’re learning AI… But it’s usually ML. And sometimes… just tools 😅 Know the difference if you want to sound serious in tech. Don’t skip the fundamentals. Save this for later 👀 What are you learning — AI, ML, or DL?