October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Targeting the right user
Most apps capture the users' age and gender data when they install the application for the first time. This will help you to understand the common user group of your application. You will also have user data about their usage and frequency of use, as well as location data, if that is permitted from the user's end. This will be helpful in predicting future customer targets. For example, you will be able to see if your user audience is coming from the age group of 18-25 and is predominantly female. In that case, you could devise a strategy to pull more male users, or just stick to targeting female users only. The algorithm should be able to predict and analyze all of this data, which will be helpful in marketing and ...
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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.