Chapter 1. Thinking in Machine Learning
Machine learning systems have a profound and exciting ability to provide important insights to an amazing variety of applications; from groundbreaking and life-saving medical research, to discovering fundamental physical aspects of our universe. From providing us with better, cleaner food, to web analytics and economic modeling. In fact, there are hardly any areas of our lives that have not been touched by this technology in some way. With an expanding Internet of Things, there is a staggering amount of data being generated, and it is clear that intelligent systems are changing societies in quite dramatic ways. With open source tools, such as those provided by Python and its libraries, and the increasing open source knowledge base represented by the Web, it is relatively easy and cheap to learn and apply this technology in new and exciting ways. In this chapter, we will cover the following topics:
- Human interface
- Design principles
- Models
- Unified modelling language
