How Machine Learning Has Come to Transform The User Experience
Machine learning transformed the way interacts with users.
(ML) has technology
From a monotonous question-answer regime, we have moved to more conversational & "learning" algorithms. Fulfilling these small expectations is what makes a great UX great.
What is Machine Learning? ď ś ML is an application of artificial intelligence (AI) that provides systems the ability to automatically learn & improve from experience without being explicitly programmed. ď ś The process of learning begins with observations or data, such as examples, direct experience, or instruction, to look for patterns in data and make better decisions in the future based on the examples that we provide. ď ś This improves the conversation flow, increases the efficiency of the algorithm and ensures an improved user experience.
How Does Machine Learning Help?
If there is data that can be segregated based on location, physical aspects or genetics. The core idea is to give each individual an experience based on their own behavioral aspects outside a specific target audience. A good user experience provides good information, nice visuals, interactive design, & a strong impact.
Major Applications of Machine Learning for UX? Machine Learning transforms the UX from a general form-based question-answer round to a conversation with most relevant suggestions. ML equips the user with the ability to navigate through heaps of data and find the required information. Most companies are developing strong algorithms to deal with the situation. Amazon
Netflix
Spotify
Future Aspects?
ď ś ML is not only refining the relationship between humans and machines.
ď ś Android keyboard autocorrection function & Apple Maps suggestions for destinations & stops are just basic practical examples of implementation of ML in real life.
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