With the growth of the Internet of Things (IoT), developers and engineers have had to rethink how users interact with devices. While screens have worked well...

Core ML makes it easy for iOS developers to add deep machine learning to their apps. Learn how you can train a Core ML model to derive intelligent insights.

Core ML makes it easy for iOS developers to add deep machine learning to their apps. This tutorial will introduce you to a subset of machine learning:...

Get up to speed with Apple's new machine learning library in our new course, Image Recognition on iOS With Core ML.

Devices can now use their built-in cameras to accurately identify and label images. Learn to create an image classification app in Core ML.

Use IBM Watson's natural language services to create an app that translates from one language to another and extracts sentiment, entities, and emotions.

Learn how to use IBM Watson's Visual Recognition service to create an Android app that can guess a person's age and gender and identify objects in an image.

By using IBM Watson's Conversation service, you can create AI-powered conversational user interfaces in minutes. Learn how to use it in Android apps.

Learn how to use the IBM Bluemix cloud platform and the Watson Java SDK to create an Android app that can identify the emotions expressed in any text.

In this tutorial you'll learn how to add smart features such as face detection, emotion detection, and optical character recognition to your Android apps...

In this tutorial, I'll show you how how to use the Google Cloud Speech and Natural Language APIs to create Android apps that can process speech in many...

The Google Cloud Machine Learning platform offers neural networks that have been pre-trained to perform a variety of tasks. It also exposes a REST API to...