Summary

In this chapter, we learned about AI and deep learning. We also dived deep into understanding the various types of machine learning. Then, we learned how to set up our working environment and executed a supervised learning practice in Python. We also looked into feature engineering and supervised learning algorithms and how to use the right metrics to evaluate a model.

In the next chapter, we will learn the building blocks of deep learning and the math behind it.