Posts tagged CoreML
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
Get Started With Natural Language Processing in iOS 11

Machine learning has undoubtedly been one of the hottest topics over the past year, with companies of all kinds trying to make their products more intelligent to improve user experiences and differentiate their offerings. 

Now Apple has entered the race to provide developer-facing machine learning. Core ML makes it easy for developers to add deep machine learning to their apps.

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Doron KatzNLP, CoreML, ML