Mobile application developers today are leveraging modern, robust tools to improve the app development process. They continuously look for compelling strategies to build interactive apps that can engage more with the users and provide personalized experiences. Machine Learning (ML) algorithms are one of such ways that offer innovative and exciting possibilities in the iOS app development.
At Apple WWDC (Worldwide Developer Conference) in 2017, a new machine learning framework called CoreML was announced. It can make it easier to integrate machine learning models in iOS applications.
Businesses across domains like education, healthcare, eCommerce, and more can leverage this CoreML framework to improve their app performance, While developers can create advanced mobile apps by writing a few lines of code.
Let’s look at how machine learning can influence iOS mobile app development with its CoreML capabilities.
Implementing Machine Learning Models in iOS App Development
The CoreML framework makes it easy to implement machine learning models in iOS applications. It helps app developers to execute a specific type of processes for decision-making and data predictions.
However, developers need pre-trained models to integrate them into the app development practices to make efficient predictions through apps.
Let’s take a use case to showcase the influence of mobile apps using ML.
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