Summary
In this chapter, we have discussed the basic concepts of the ML model development process: data splitting, platform setup, ML model training, validation, testing, and deployment.
Since the concept of AI emerged in the 1950s, there were no big breakthroughs until 2012, when deep learning (DL) was invented using neural networks. DL has greatly improved ML model performance and opened up a huge avenue for applying ML to many business use cases. In the next chapter, we will discuss neural networks and DL.
