May 2016
Intermediate to advanced
432 pages
11h 16m
English
Content preview from Machine Learning For Dummies
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Chapter 3
Having a Glance at the Future
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. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.