In the previous post on Android user data security, we looked at encrypting data via a user-supplied passcode. This tutorial will shift the focus to credential and key storage. I’ll begin by introducing account credentials and end with an example of protecting data using the KeyStore.

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In the previous tutorial of this series, we added the ability to add, update, and remove shopping lists. A shopping list without any items in it isn’t very useful, though. In this tutorial, we’ll add the ability to add, update, and remove items from a shopping list. This means that we’ll be working with references and the CKReference class.

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Mobile coders have been taking advantage of Google’s Mobile Backend as a Service (MBaaS) platform Firebase Realtime Database for many years, helping them focus on building features for their apps without having to worry about the back-end infrastructure and database. By making it easy to store and persist data in the cloud and take care of authentication and security, Firebase allows coders to focus on the client side.

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With TensorFlow, one of the most popular machine learning frameworks available today, you can easily create and train deep models—also commonly referred to as deep feed-forward neural networks—that can solve a variety of complex problems, such as image classification, object detection, and natural language comprehension. TensorFlow Mobile is a library designed to help you leverage those models in your mobile apps.

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There are several ways to create a mobile application. Do you want to know what the best way is? It depends. What technologies do you have experience with? What platforms are you targeting? How much time do you want to spend building your application?

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