Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 50

IN THIS CHAPTER

Discovering how machine learning will help create useful future technologies

Developing new kinds of work as the result of machine learning

Considering how machine learning can create potential problems

Machine learning technology appears in many products today, but it isn’t even close to complete usability yet. The algorithms used for machine learning today are still relatively basic when compared to what scientists plan to provide for the future. In addition, the data sources for machine learning today are smaller than the datasets planned for future use. In short, machine learning is in its infancy. It already performs a considerable number of tasks amazingly well, however. This chapter looks at what might be possible in the future. It helps you understand the direction that machine learning is taking and how that direction could help entrench machine learning into every aspect of daily life.

One of the issues that comes with a new technology such as machine learning is a fear that machine learning will keep people from working. Quite the contrary: Machine learning will open new occupations that people should find more exciting than working on an assembly line or flipping burgers at a restaurant. One of the goals is to provide creative and interesting work for people to do. Of course, these new jobs will require more and new kinds of training before people can perform them well.

Every new technology also comes with pitfalls. It’s a cliché but true that it’s easier to destroy than to create. The potential pitfalls of machine learning need to be taken seriously. Because this technology is in its infancy, now is the time to consider the potential pitfalls and do something about them before they materialize. The last section of the chapter doesn’t discuss problems that will happen; rather, it discusses problems that could happen and that people can certainly avoid by using the technology correctly.