Summary
In this chapter, you learned about many different types of machine learning scenarios such as regression, classification, and deep learning. You learned about both supervised and unsupervised learning, and where each of those is appropriate.
Machine learning is helpful in a variety of real-world scenarios, from weather forecasting to medical imaging analysis. You learned about applications for each type of machine learning technology and even how to compute several metrics to determine how accurate trained models are.
In the next chapter, we’ll start talking about core machine learning concepts.
