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Erschienen in:
2019 | OriginalPaper | Buchkapitel
4. Machine Learning Algorithms
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Abstract
You do not need a background in algebra and statistics to get started in machine learning. However, be under no illusions, mathematics is a huge part of machine learning. Math is key to understanding how the algorithm works and why coding a machine learning project from scratch is a great way to improve your mathematical and statistical skills. Not understanding the underlying principles behind an algorithm can lead to a limited understanding of methods or adopting limited interpretations of algorithms. If nothing else, it is useful to understand the mathematical principles that algorithms are based on and thus understand best which machine learning techniques are most appropriate.