![]() ![]() Linear Algebra is very helpful for the aspirants of CSIR UGC NET Mathematics, IIT JAM Mathematics, GATE mathematics, NBHM, TIFR, and all different tests with a similar syllabus. Free download PDF 3000 Solved Problems In Linear Algebra By SCHAUM’S Series. Yet because linear algebra is a form of continuous rather than discrete mathematics, many computer scientists have little experience with it. Linear algebra is a branch of mathematics that is widely used throughout science and engineering. When you have the right libraries, like Numpy, at your disposal, you can compute complex matrix multiplication very easily with just a few lines of code. Therefore, you are mostly dealing with matrices and vectors rather than with scalars (we will cover these terms in the following section). In Linear Algebra, data is represented by linear equations, which are presented in the form of matrices and vectors. So if you really want to be a professional in this field, you will have to master the parts of Linear Algebra that are important for Machine Learning. This will help you to make better decisions during a Machine Learning system’s development.
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