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The Effect of Machine Learning on Web Application Development

As a type of artificial intelligence (AI), machine learning uses algorithms to make computers learn without being explicitly programmed. It is a method of data analysis that automates analytical model building. The automated analytical model building makes computers find hidden insight. Likewise, it makes computer programmers change when exposed to new data. At present, machine learning is one of the hottest trends in software development. Many analysts even believe that machine learning will completely transform the development process of various software including web applications.

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The Effect of Machine Learning on Web Application Development

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  1. Assessing Impact of Machine Learning on Web Application Development Alternative to Conventional Data Mining : Most enterprises use data mining to generate new information based on huge volumes of existing data. There are many websites that use specialized data mining techniques like web mining to discover patterns based on huge amount of online data. The enterprises can use machine learning as an alternative to conventional data mining. Like data mining, machine learning can also detect patterns based on huge amount of data. But machine learning, unlike data mining, will change the program actions automatically based on the detected patterns.

  2. Understand Customer Behaviour: The web applications can also use machine learning algorithms to understand customer behaviour and boost customer engagement. application can use machine learning to monitor and understand customer conversation related to a product. It can even use the algorithm to know the features and functionality expected by the customers. Also, an enterprise can use machine learning to communicate with customers more efficiently through contact us forms. The machine learning algorithm can easily analyse the customer queries and companies, and transfer the query to the relevant team. Hence, the sales and customer support teams can easily enhance customer experience by resolving issues faster. An ecommerce

  3. Deliver Personalized Content and Information: Facebook already use machine learning algorithm to personalize newsfeed of each user. The technology used by Facebook combines predictive analytics and statistical analysis to detect patterns based on the user’s data. Also, it personalizes the newsfeed of the users based on the detected patterns. The machine learning technology identifies pattern based on the content read and posts liked by the user. Based on the identified pattern, it displays similar posts and content earlier in the feed. While developing web applications, programmers can embed similar machine learning technology to deliver personalized content and information to each user based on his personal choices and preferences. Content Designed By : Mindfire Solutions

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