Summary

In this chapter, we learned about machine learning. We then learned about the different types of algorithm it uses to get the desired information. We then had a discussion about two types of model, the supervised model and the unsupervised model, which are used to train machines to predict their input.

We then had a discussion about what supervised learning is. We then discussed the two commonly used algorithms in supervised learning. The first algorithm we discussed is called the classification model; here, we discussed binary classification and multi-class classification. The second algorithm we discussed in supervised learning is called regression; here, we discussed linear regression and polynomial regression.

We then had a discussion about what unsupervised learning is. We then discussed the two commonly used techniques in unsupervised learning. The first technique is called clustering, which uses the K-Mean algorithm to identify patterns in data. The second technique is called...