Inhalt: Machine learning is reaching the mainstream. With the new tools available to developers, it's now possible to implement machine learning features-voice, face, and image recognition; personalized recommendations; and more-in a mobile context. This course explores how to apply the power of machine learning to mobile app development, using platforms such as IBM Watson, Microsoft Azure Cognitive Services, and Apple Core ML. Instructor Kevin Ford demos each product, reviewing the different features and approaches to machine learning. He shows how to train and deploy models for natural language and visual recognition and how to generate statistical models for use in a Xamarin application. In chapter five, he compares client-side and server-side models and explains when a developer might choose one platform over another. Umfang: 03:15:26.00
Inhalt: Visual Studio App Center brings together multiple tools used by mobile developers-tools for testing, deployment, distribution, reporting, and analytics-into a single, unified product. It integrates with popular repositories such as GitHub and supports platforms such as React Native, Swift, Android Java, and Xamarin. Join instructor Kevin Ford as he shows how to use VSAC to create and customize builds, run automated UI testing, distribute builds, monitor the health and usage of apps, and send users push notifications. Plus, learn how to update applications without distributing new releases. Using the features in VSAC, you can improve your app development workflow and your users' experience. Umfang: 02:50:11.00
Inhalt: Implement the principles of material design in your Android apps-keeping attributes material, making elements intentional, and ensuring motion coincides with meaning. This course shows how to use Xamarin and Android Studio to create cross-platform compatible apps. Discover the purpose of material design and how it can enhance the experience users have with your apps. Then, learn how to add floating action buttons, RecyclerView, CardView, animations, a Snackbar, and more. Umfang: 01:47:47.00
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