Linear Algebra for Data Science & Machine Learning – 2020 | Math Online Course by Udemy

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Linear Algebra for Data Science & Machine Learning – 2020

LINEAR ALGEBRA for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTIONWhy Learn Linear Algebra?SetsLinear Equation SystemsWhat is a Scalar?Scalar & Vector ArithmeticVector Addition and SubtractionScalar Multiplication of VectorsDot & Cross ProductDot Product Linear Algebra StyleVector SubspaceLinear Combinations of VectorsSpanLinear Dependence and IndependenceSolving Systems of linear equationsLinear Equation ExampleGenerating Set and BasisLinear Mapping/Linear TransformationAdditivityHomogeneityKernelMatrices – TensorsMatrix MultiplicationRange of a MatrixKernel of a MatrixDeterminant of a MatrixIdentity, Transpose and Inverse MatrixEigenvector and EigenvalueWHY LINEAR ALGEBRA?Linear algebra is absolutely key to understanding the calculus and statistics you need in machine learning and data science. If you can understand machine learning methods at the level of vectors and matrices you will improve your intuition for how and when they work.A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results. THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSEIn-class support: We don’t just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours. WHO WE ARE: DATAI TEAM ACADEMYDATAI TEAM is a team of Python Programmers and Data Scientists. Let’s register for the course and start to Linear Algebra for Data Science & Machine Learning.

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