40 Algorithms Every Programmer Should Know

Summary

In this chapter, we started by looking at the basics of supervised machine learning. Then, we looked at various classification algorithms in more detail. Next, we looked at different methods to evaluate the performance of classifiers and studied various regression algorithms. We also looked at the different methods that can be used to evaluate the performance of the algorithms that we studied.

In the next chapter, we will look at neural networks and deep learning algorithms. We will look at the methods used to train a neural network and we will also look at the various tools and frameworks available for evaluating and deploying a neural network.