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This book requires a basic knowledge of machine learning and Python coding. Moreover, a university-level knowledge of probability theory, calculus, and linear algebra is needed in order to have a full understanding of all theoretical discussions. However, readers who are not familiar with such concepts can skip the mathematical discussions and focus only on the practical aspects. Whenever needed, reference to specific papers and books is provided so as to allow a deeper understanding of the most complex concepts.

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