Unlike traditional linear algebra courses that teach you to solve linear equations manually, this learning track by FastAI will demonstrate the implementation of these techniques using a computer. Computational Linear Algebra for Coders - Course by FastAI In an effort to make the subject easier to understand, this book makes topics more generalized and abstract, with examples provided in each chapter.Ģ. This is a simple introduction to linear algebra, and concepts are explained to the reader with the help of interactive visualizations. This free textbook will take you through the basics of linear algebra. The implementation of deep learning algorithms using libraries like Tensorflow requires a basic knowledge of linear algebra, as you will need to perform matrix manipulation and understand how tensors work. Linear algebra concepts like vectorization allow for faster computation speeds, and are implemented in libraries like Pandas, Scipy, and Scikit-Learn.Īlgorithms like PCA use matrix decomposition techniques to reduce the volume of a feature space.
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