Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 35

You can obtain data from private organizations such as Amazon (see Open Data, https://aws.amazon.com/opendata/) and Google (see Public Data Explorer, https://www.google.com/publicdata/directory), both of which maintain immense databases that contain all sorts of useful information. In some cases, except for publicly shared data sources, you should expect to pay for access to the data, especially when used in a commercial setting. You may not be allowed to download the data to your personal servers, so that restriction may affect how you use the data in a machine learning environment. For example, some algorithms work slower with data that they must access in small pieces.

The biggest advantage of using data from a private source is that you can expect better consistency. The data is likely cleaner than from a public source. In addition, you usually have access to a larger database with a greater variety of data types. Of course, it all depends on where you get the data.