Firebase ML Kit is a library that allows you to effortlessly, and with minimal code, use a variety of highly accurate, pre-trained deep neural networks in...

Machine learning is the act of giving computers the ability to learn without explicitly programming them. In this tutorial, we will talk about machine...

With TensorFlow, one of the most popular machine learning frameworks available today, you can easily create and train deep models. TensorFlow Mobile is a...

Google Dialogflow is a natural language processing service that's free, very powerful, and multilingual. It also comes with a large number of well-designed...

Creating engaging apps requires a well thought-out design for user experience—UX design for short. One common underlining principle to all mobile platforms...

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.