Linear Algebra for Machine Learning & Quantum Computing

Author : Mr. Atish M. Gour, Mr. Rupesh Pohane, Mrs. Bhavana A. Mohod, Mr. Santosh S. Hedau

Linear Algebra for Machine Learning & Quantum Computing is an educational book that explains the fundamentals of linear algebra and their applications in modern technology. It covers matrices, vector spaces, eigenvalues, eigenvectors, Singular Value Decomposition, Principal Component Analysis, and Markov chains. The book also introduces complex vector spaces, quantum states, quantum gates, and entanglement. With worked examples, practice problems, and solutions, it helps students understand mathematical concepts and their practical uses in machine learning, data science, engineering, and quantum computing.