Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 12

As any technology becomes bigger, so does the hype, and AI certainly has a lot of hype surrounding it. For one thing, some people have decided to engage in fear mongering rather than science. Killer robots, such as those found in the film The Terminator, really aren’t going to be the next big thing. Your first real experience with an android AI is more likely to be in the form a health care assistant (https://www.robotics.org/blog-article.cfm/The-Future-of-Elder-Care-is-Service-Robots/262) or possibly as a coworker (https://www.computerworld.com/article/2990849/meet-the-virtual-woman-who-may-take-your-job.html). The reality is that you interact with AI and machine learning in far more mundane ways already. Part of the reason you need to read this chapter is to get past the hype and discover what AI can do for you today.

You may also have heard machine learning and AI used interchangeably. AI includes machine learning, but machine learning doesn’t fully define AI. This chapter helps you understand the relationship between machine learning and AI so that you can better understand how this book helps you move into a technology that used to appear only within the confines of science fiction novels.

Machine learning and AI both have strong engineering components. That is, you can quantify both technologies precisely based on theory (substantiated and tested explanations) rather than simply hypothesis (a suggested explanation for a phenomenon). In addition, both have strong science components, through which people test concepts and create new ideas of how expressing the thought process might be possible. Finally, machine learning also has an artistic component, and this is where a talented scientist can excel. In some cases, AI and machine learning both seemingly defy logic, and only the true artist can make them work as expected.