Posts tagged iOS
How to Train a Core ML Model for an iOS App

The goal of machine learning is for a computer to do tasks without being explicitly programmed to do so—the ability to think or interpret autonomously. A high-profile contemporary use-case is autonomous driving: giving cars the ability to visually interpret their environment and drive unaided. 

Machine Learning is today leveraged by large companies to make better business decisions based on historical data, by using deep learning algorithms to identify patterns and correlations, which allow them to make better predictions of the future. For instance, you can resolve problems such as “How likely it is for a specific customer to purchase a specific product or service?” with greater confidence based on prior behavior. 

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Doron KatzCoreML, iOS, iOS 11
Updating Your App for iOS 11

In my latest installment for @tutsplus, I cover the changes that will be required in order to update your app for iOS 11, from architectural to visual changes as well as App Store publishing changes. Moreover, this tutorial will organize the sections starting from the required changes needed and the scope and effort required, to the nice but not necessary features that will enhance your app as a result of iOS 11. 

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Doron KatziOS, iOS 11
What is Differential Privacy?

One of the notable concepts to emerge from Apple’s World Wide Developers Conference in San Francisco this year, has been the notion of differential privacy. As Wired puts it Differential Privacy is the “…statistical science of trying to learn as much as possible about a group while learning as little as possible about any individual in it.”

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