Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products.

Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You'll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps.

在iOS应用程序中实现机器学习模型。这篇简短的文章首先回顾了机器学习的主要原理，然后讨论了更高级的主题，如CoreML，用于在苹果产品中实现机器学习任务的框架。
iPhone上的许多应用程序都使用机器学习：Siri提供基于语音的请求，照片应用程序用于面部识别，Facebook提供照片中可能出现的人的建议。您将回顾这些类型的机器学习任务是如何实现和执行的，以便您可以在自己的应用程序中使用它们。