Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python Master the fundamentals of linear algebra: Understand vectors, matrices, transformations, and more. Apply linear algebra to data science: Solve real-world problems in machine learning, data analysis, and optimization. Learn Python implementation: Implement linear algebra algorithms and techniques using Python code. Gain hands-on experience: Work through practical examples and exercises to reinforce your understanding. * Ideal for data scientists, machine learning engineers, and students: Build a solid foundation in linear algebra for data science applications.