September 3, 2015
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Deep Learning has applications in many fields. In this example, it is put to use across three APIs to predict what music genre an album is based on the cover artwork.
Today Apsalar announced the release of two new components of its ApScience analytics suite for mobile applications: engagement index & revenue analytics. These new metrics will allow Apsalar clients to gain greater insight into how users are interacting with their application. It will also make it possible for users to be segmented based on the amount they spend in the app. You might be as surprised as I was to learn that this is a competitive space characterized by big data and advertising revenues. Apsalar hits all the bases with SDKs for Android, iOS, and a RESTful API.
Among the three largest social networking sites the most arcane to deal with from a developer perspective is LinkedIn. Now PeopleLinx is trying to prove there is a viable developer opportunity surrounding Linkedin APIs. The company, which just picked up an additional $3.2 million in financing, has developed an analytics application for LinkedIn that allows organizations to more easily ascertain what people are connected to what potential key accounts.