Health-related mobile applications are known as eHealth apps. These apps make people
more aware of their health, help during critical situations, provide home-based disease …

Companies are spending billions on machine learning projects, but it's money wasted if the
models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine …

AI as a Service is a practical handbook to building and implementing serverless AI
applications, without bogging you down with a lot of theory. Instead, you'll find easy-to-digest …

Deep learning is an evolving expanse of machine learning. Machine learning is observing
its neoteric span as deep learning is steadily becoming the pioneer in this field. With the …

Deep learning is artificial intelligence technology that can teach people like themselves who
need machine learning. Deep learning has become of the most promising in the …

Innovation in technology always makes an impact on how products and services are
designed. The invention of Smartphone especially and after the launch of Android OS which …

In this paper, we describe AzureML: a web service enabling software developers and data
scientists to build predictive applications. AzureML provides several unique features. These …

Mobile apps have transformed many aspects of clinical practice and are becoming a
commonplace in healthcare settings. The recent COVID-19 pandemic has provided the …

Deep learning is a subfield of machine learning and plays a vital role in the area of image
processing, natural language processing, computer vision, etc. As compared to traditional …

A large number of mobile phone applications have been built and deployed to combat
COVID-19, offering various services to users, including virus information, contact tracing …