35K views · 420 reactions | AI Coding: course Machine Learning từ Stanford CS229, hardcore lý thuyết | AI Coding | Facebook
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Sanjay Saharan on Instagram: "📘 Supervised, Unsupervised, Deep Learning — All CS229 ML Concepts in One Place! Studying Machine Learning from random resources? That’s why most students feel lost. But if you learn from one structured guide, everything suddenly clicks. 🔥 Stanford CS229 Machine Learning — condensed into one ultimate cheatsheet: ✔ Supervised Learning (Regression, Classification) ✔ Unsupervised Learning (Clustering, Dimensionality) ✔ Deep Learning Basics ✔ Optimization
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Deepak Jose | Data Science & Gen AI on Instagram: "Want to master AI & ML without spending $100K? Here are the ONLY 5 courses you need 🎯 Before you read further please take a moment to -> 💗LIKE | 💾 SAVE | 📤 SHARE | ➡️ FOLLOW @datasciencebrain Stanford is literally giving away $100K worth of knowledge for FREE on YouTube. If you're serious about breaking into AI, this is your roadmap: ✅ CS221 - Artificial Intelligence (The Foundation) ✅ CS229 - Machine Learning (The Core Skills) ✅ CS230 - Dee
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Day 52 | Look below for today’s resources 📝 I spent a little bit of time today continuing to work through the SMO algorithm! —- Resources used today: Resources Machine Learning 41: Support Vector Machines - SMO Algorithm https://www.youtube.com/watch?v=Mfp7HQKLSAo IR20.6 Sequential minimal optimization (SMO) https://www.youtube.com/watch?v=I73oALP7iWA CS 229, Autumn 2009 The Simplified SMO Algorithm https://cs229.stanford.edu/materials/smo.pdf SVM by Sequential Minimal Optimization (SMO) https:
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