English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 1h 40m | 1.24 GB
With iOS 11 and macOS High Sierra, Apple introduced the Core ML framework. This put the integration of machine learning within the grasp of Apple developers, and ushered in a host of new opportunities for developers to come up with the next big thing or enhance the quality of their mobile and desktop applications. This course provides an introduction to the Core ML framework, and the advantages of using machine learning models, computer vision, and natural language processing in modern apps. Learn about different features and use cases for the Core ML and Vision frameworks, as well as the natural language processing classes. Plus, the course walks through the development of sample apps that leverage different machine learning features.
Topics include:
- What are machine learning, Core ML, Vision, and NLP?
- Adding a machine learning model to a project
- Getting predictions from machine learning models
- Converting existing machine learning models for Core ML
- Classifying images and detecting objects with Vision and Core ML
- Analyzing natural language text with NSLinguisticTagger
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