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🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

If you're becoming an Al Engineer, here are 3 things NOT to focus on: (I wasted months on each of them) - Deep research on LLM architectures Advanced math - Chasing tools Back then, it felt like good advice... Now I know better. Let me go into

Top Free AI Courses You Can Start Today (posting it as two posts, link for second post is at bottom) #1 GenAI Free Program - 7 Courses Combo https://www.analyticsvidhya.com/courses/learning-path/generative-ai-program-free/ Data Science Free Progr

My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst