Deploying Machine Learning for Android Applications Development

Original article can be found here (source): Artificial Intelligence on Medium

Deploying Machine Learning for Android Applications Development

Mobile application projects demand intense research and development efforts. From ideation and planning to design and development, mobile developers often struggle with proper evaluation of project requirements and value generation. Artificial intelligence (AI) is opening new development opportunities with dynamic machine learning capabilities such as predictive analytics, facial detection, and more. In this blog post, we are exploring the implementation of machine learning for android app development using several AI and Machine learning development services.

Machine Learning + Traditional Programming = Smart App Development

Programming has fueled some of the world’s most innovative software developments for almost a century. From the Short Code to Python to cloud computing, programmers and software developers have propelled the global digital transformation. The advent of AI development services has opened new opportunities for developers using machine learning techniques for more efficient, automated, and intelligent application development.

Although the model training approach under machine learning and programming is quite different, together these methodologies boost model development significantly.

While in its embryonic stage, machine learning is making diligent efforts to overcome the limitations of traditional programming practices. Machine learning algorithms work as a supplement for programmers to accelerate application development.

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