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Linear Algebra Coding with Python: Python’s application for linear algebra-P2P

Python is one of the most popular languages for data analysis and prediction. What’s more, tensorflow and torch, useful tools of recent deep learning, are fully implemented by Python. The basic form of data in these languages is an array, created by Python’s important package numpy. In particular, arrays are the basis of data science because they have structures of vectors and matrices that give the meaning of direction and magnitude to each value in the data set. For example, a matrix structure allows transformation to a simple form without losing the basic characteristics of a vast data set. These transformations are useful for efficient processing of data and for finding implicit characteristics.

Linear Algebra Coding with Python: Python’s application for linear algebra-P2P
English | 2020 | ASIN: B08CT47RL3 | 213 Pages | PDF, EPUB, AZW3 | 8.82 MB
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  1. YTSTY
    July 17th, 2020 | 08:27
  2. wineo
    July 17th, 2020 | 08:47
  3. Matbb
    July 17th, 2020 | 12:37

    Linear Algebra Coding with Python: Python’s application for linear algebra-P2P

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