Teaches essential vector and matrix concepts for data science applications
Introduces Python libraries such as NumPy and PyTorch for practical computations
Includes color visualizations to illustrate mathematical operations
Provides interactive online tools for practice and feedback
Demonstrates real-world data and engineering applications
Summarized by Shop
Linear Algebra for Data Science with Python provides an introduction to vectors and matrices within the context of data science. This book starts from the fundamentals of vectors and how vectors are used to model data, builds up to matrices and their operations, and then considers applications of matrices and vectors to data fitting, tran