Titlebook: Smart Technologies for the Digitisation of Industry: Entrepreneurial Environment; Agnessa O. Inshakova,Evgenia E. Frolova Book 2022 The Ed

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2190-3018 f energyresources, and energy efficiency improvements to gain positive economic effects from the introduction of new technologies. .. .978-981-16-4623-2978-981-16-4621-8Series ISSN 2190-3018 Series E-ISSN 2190-3026

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Alexey Yu. Mamychev,Olga I. Miroshnichenkoook then providescomplete solutions in MATLAB for several important problems in machine learning including face identification, autonomous driving, and data classification. Full source code is provided for all of the examples and applications in the book..What you‘ll learn:.An overview of the field

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Natalia S. Volkova,Natalia V. Putilo and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more..What You Will Learn.Write code for machine learning, adaptive control, and estimation using MATLAB.Use

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Maryia V. Miashchanavaraphics and visualization tools for machine learning.How to code real world examples in MATLAB for major applications of machine learning in big data. .Who is this book for:. The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples

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Ekaterina P. Rusakova,Evgenia E. Frolovad, leading to various matrix decompositions. Applications such as change of bases, the classification of quadratic forms and how to solve systems of linear equations are described, with numerous examples. A section is dedicated to sparse matrices and other types of special matrices. In addition to i

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