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Machine Learning Algorithms

2021 
The first chapter of this book explained what machine learning is and why it is needed. This chapter now gives an in-depth overview of the subject. The most important machine learning algorithms (models) are explained in detail and several important questions are answered: Which algorithm should we select for the task? What are the advantages and disadvantages of the model? This chapter focuses on the practical uses of machine learning; the mathematical background is only explained when it is really necessary—typically in separate ‘expert sections’ to aid comprehension and to allow interested readers to dive deeper into the subject. Several examples are provided to help explain the different applications of machine learning.
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