Summary

In this chapter, we discussed the high-level fields of data science, machine learning, and AI.

While we covered these earlier in more depth, here is a consolidated set of definitions:

• Artificial intelligence is the broadest field and revolves around emulating aspects of behaviors found in humans and animals.
• Data science is the discipline of preparing and analyzing large amounts of data to extract insights and determine future behavior through machine learning and predictive modeling.
• Machine learning is a broad field involving applying mathematics and statistics to solve data problems. Machine learning includes supervised learning, unsupervised learning, and semi-supervised learning including reinforcement learning.
• Supervised learning involves applying statistical and mathematical techniques to model trends and relationships found in datasets.

In this chapter, we also discussed the role of notebooks in data science for conducting iterative experiments...