Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 36

Your existing data may not work well for machine learning scenarios, but that doesn’t keep you from creating a new data source using the old data as a starting point. For example, you might find that you have a customer database that contains all the customer orders, but the data isn’t useful for machine learning because it lacks tags required to group the data into specific types. One of the new job types that you can expect to create is people who massage data to make it better suited for machine learning — including the addition of specific information types such as tags.

Machine learning will have a significant effect on your business. The article at https://www.computerworld.com/article/3007053/big-data/how-machine-learning-will-affect-your-business.html describes some of the ways in which you can expect machine learning to change how you do business. One of the points in this article is that machine learning typically works on 80 percent of the data. In 20 percent of the cases, you still need humans to take over the job of deciding just how to react to the data and then act upon it. The point is that machine learning saves money by taking over repetitious tasks that humans don’t really want to do in the first place (making them inefficient). However, machine learning doesn’t get rid of the need for humans completely, and it creates the need for new types of jobs that are a bit more interesting than the ones that machine learning has taken over. Also important to consider is that you need more humans at the outset until the modifications they make train the algorithm to understand what sorts of changes to make to the data.