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Higher School of Economics vía Coursera
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Mathematics for computer vision

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  • Vectors
    • In this module we provide you with the most important concepts about vectors and vector spaces which are widely used in the area of machine learning and computer vision.
  • Matrices
    • Matrices play key role in various computer vision algorithms. In this section we show different operations on matrices and also give the information about different theoretical features of matrices that are necessary for the practical use.
  • Functions
    • This module contains the fundamental concepts about functions, such as continuity, differentiation and integration. They are extremely important for various machine learning methods, for example, in training procedures (optimization of parameters).
  • Project week