December 2025
Beginner to intermediate
618 pages
14h 48m
English
In this chapter, we will cover one of the most important topics of our time. The rise of Machine Learning (ML), powered by exponential advances in computing technology, has transformed many industries, including bioinformatics. ML is the use of computation to learn and infer results from data. It includes a variety of algorithms from the simple to the complex, all the way from traditional data science techniques that we learned about in Chapter 4, such as K-means, PCA, and decision trees, to Neural Networks (NNs), which we will cover in this chapter. Deep Learning (DL) is a subset of ML that uses NNs with many layers. One of the key reasons DL has become so powerful in the last decade ...
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