Founder | Agentic AI... • 7m
Starting with basics like linear algebra, calculus, and probability really helps build a strong foundation for AI/ML. I’ve found resources like Khan Academy and 3Blue1Brown useful for breaking down complex concepts. Good luck on your learning journey!
Passionate about lea... • 2m
🚀 Day 1 of My Machine Learning Journey Machine Learning isn’t magic — it’s built on three strong pillars 👇 🔹 1. Mathematics You don’t need to be a professor in math ❌ Just a clear understanding of these core concepts is enough: ✔ Linear Algebra ✔
See MoreHey I am on Medial • 6m
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
See MoreHey I am on Medial • 7m
🧠 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
See MoreEat well and code we... • 7m
A next advance step towards ML model working flow by learning and demonstrating a simple Linear regression Algorithm. It's an exciting and fun step after learning and understanding practically the concepts of NumPy, Pandas , Matplotlib and Sklearn f
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Founder | Agentic AI... • 10h
Feeling lost with so many AI/ML books and which one to read? These are 9 curated books that actually teach you how to build, ship, and scale real AI systems. No fluff. No filler. Just actionable knowledge. 1. AI Engineering - Chip Huyen Covers eve
See MoreKeen Learner and Exp... • 6m
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
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