Machine Learning in Mobile Applications

Abstract

Machine learning is a branch of computer science that enables computers to learn without being explicitly programmed. One of the most exciting technologies that one has ever encountered is machine learning. As the name implies, it provides the computer with the ability to learn, which makes it more human-like. Machine learning is now employed in a variety of applications, including self-driving cars, personal assistants such as Cortana, Alexa, and Siri, and security technologies such as face recognition. Developers of mobile applications are increasingly being pushed to include machine learning technology in their apps. This is unfamiliar territory for many of them. In this research paper, we will look at how machine learning relates to AI in this context, with an emphasis on application developers. This paper demonstrates different machine learning types, frameworks, and tools available on the market and how to use them to create the statistical models needed to use them in mobile applications without having to learn more about the complexity of algorithms and how they train and learn models. Also, this article covers the basic architectures that mobile applications can leverage to work with machine learning.