Applying Machine Learning in Mobile App Development

Sophie Zoria
Analytics Vidhya
Published in
5 min readJun 29, 2020

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Today, Machine Learning is one of the most popular areas of Computer Science. Due to the widespread use of digital devices, machine learning provides a revolutionary way to solve problems such as image recognition, data classification and analysis, forecasting, and many others.

Let’s dwell in more detail on the application of machine learning technologies in mobile app development.

Machine Learning as a Developer Tool

Machine learning is a step in the direction of creating artificial intelligence. The main goal of machine learning is to create automated data processing algorithms. Instead of writing code, it is enough for mobile app developers to simply enter data into an algorithm that, processes it, learns itself, builds the logic necessary to solve the problem, and produces the desired result.

In the framework of machine learning, two main tasks are distinguished: recognition of multimedia images and forecasting trends based on Big Data analysis. Each of these tasks involves the construction of various models, which subsequently form the basis of software solutions. In turn, mobile applications with built-in machine learning algorithms are able to perform highly intelligent tasks that were previously available only to the human brain.

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Sophie Zoria
Analytics Vidhya

Sophie Zoria is a passioned author covered tech trends, mobile apps, and design.