June 21, 2016
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The ability to analyze information and use the results to make more informed decisions is something that interests a lot of people. Developers, publishers, and small to large business owners all collect an overwhelming amount of data pertaining to the work that they do. Employing a staff of analysts to sift through the onslaught of what can sometimes seem to be useless information is obviously one way to solve this problem, ‘Machine Learning’ is another.
HTC announced the One smartphone this week, its new flagship device for the year. The One is a sequel to last year's well-liked smartphone and ratchets up the sex appeal with an all-aluminum design. Its feature set, which includes a luscious 5-inch HD display, zippy four-core Qualcomm Snapdragon processor, and shiny metallic colors, will let it compete well against similar phones from other manufacturers. HTC believes developers can plan a role in the One's success, too, with new APIs for the camera and BlinkFeed.
As machine learning and predictive analytics become more prevalent in businesses, predictive APIs are starting to open up. Are predictive APIs right for your organization? Louis Dorard provides a framework to help you decide and begin to consider the question of which APIs to use.