Vectors & Vector Spaces Explained | Linear Algebra for AI & ML (Lecture 1)

Start your AI & ML math journey here! 🚀 This is Lecture 1 of the Linear Algebra for AI & Machine Learning series, where we explore the foundation of all linear algebra — vectors and vector spaces. Whether you’re new to math for AI or brushing up your skills, this lesson will make vectors easy to understand. ✅ In this video, you’ll learn: What vectors are and how they’re represented Vector operations (addition, scalar multiplication) The concept of vector spaces and subspaces Why vectors matter in AI & ML algorithms 💡 Why Vectors Matter in AI Vectors represent data, features, and embeddings in machine learning models. Understanding them is essential for neural networks, NLP, computer vision, and all AI systems. 📌 Timestamps: 00:00 Introduction to Linear Algebra for AI 01:15 What is a Vector? 05:35 Visualizing Vector in two form 18:53 Vector Spaces Explained 25:05 Vector operations 🔗 Watch the full Linear Algebra Playlist: [https://www.youtube.com/playlist?list=PLZgXmJKqv3EjCQ6peq701hLPXo94PLDLR] 👍 If this helped, hit Like, Subscribe, and turn on 🔔 to follow along with the full course! vectors, vector spaces, vector tutorial, vector spaces explained, linear algebra for ai, linear algebra for machine learning, ai math, machine learning math, data science math, neural network math, ai linear algebra lecture, vectors and vector spaces, vector operations