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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

Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw

Day 1 of learning mathematics for AI/ML as a no math person. Topic: linear algebra (points and vectors). I had recently learn python as a beginner with a main goal of exploring AI/ML and Robotics (which also requires me to learn C++). I have divide

Day 1 of learning mathematics for AI/ML as a no math person. Topic: linear algebra (points and vectors). I had recently learn python as a beginner with a main goal of exploring AI/ML and Robotics (which also requires me to learn C++). I have divide

Data scientist, Data analyst, AI engineer, or AI agent builder? Which one is best? I've explained below. 1. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 This field teaches you how to 𝗮𝗻𝗮𝗹𝘆𝘇𝗲 𝗱𝗮𝘁𝗮, 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗮𝗻𝗱 𝗱𝗲𝗽𝗹𝗼𝘆 𝘁𝗵𝗲𝗺 𝗶

People want to jump into AI fast. But you can’t skip the basics. Learn system design before AI agent frameworks. Learn data cleaning before fine-tuning. Learn APIs before MCP. Learn databases before RAG. Learn real NLP before prompts. Learn classic

The complete AI, ML & GenAI roadmap. I've given a stepwise breakdown to master them. 𝗦𝘁𝗲𝗽 1 – 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 (1.5–2 𝗺𝗼𝗻𝘁𝗵𝘀) • Build core skills: Python, math, data handling, Git. • Learn 𝗡𝘂𝗺𝗣𝘆, 𝗣𝗮𝗻𝗱𝗮𝘀, 𝗠𝗮𝘁𝗽𝗹𝗼𝘁𝗹𝗶�

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