Use of Machine Learning Technology in Mobile Apps
With daily updates and technological advancement, artificial intelligence has taken power to improve app efficiency without manual programming dependency. One such AI is machine learning. ML uses constantly evolving algorithms and focuses on creating computer programs that help in accessing data and dealing with issues without any human interference. ML is rapidly gaining power, and with its power of making the mobile app more intelligent, it is in demand among mobile app companies.
What is machine learning?
It is a scientific study of algorithms; also, it is an application of artificial intelligence that has changed the whole scenario and refurbished mobile app development. According to Wikipedia, it is a subset of artificial intelligence and provides the ability to the system to automatically learn and improve without being manually programmed. It focuses on the development of computer programs, i.e., without any special programming, the task will complete.
How can machine learning be used in mobile apps?
Machine learning means “learning on the go.” designed algorithms improve operations as per the results. To achieve a more accurate ML algorithm, you need more accurate data ML
Algorithms used by machine learning in mobile apps are as follows
- Supervised learning
- Unsupervised learning
- Reinforcement learning
With technological advancement, mobile phones are now powerful and can run ML algorithms without an internet connection.
Here, we have explained six ways or sectors where you can use ML in mobile apps.
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Data mining
Let me help you understand this term in a better way. Data mining analysis big data and discover useful and non-obvious patterns. It includes data storage, real data analysis, and maintenance. It helps learn necessary algorithms and provides a set of tools to find possible connections within data sets.
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Mobile finance
In the finance sector, machine learning plays a vital role in predicting future trends, bubbles, and crashes. It determines the credit rating of borrowers by analyzing information. It is also helpful in automation. This advancement has replaced manual work, automate repetitive tasks, and increased productivity.
Let’s read the following benefits of machine learning applications in the finance industry.
- Process automation reduces operational cost
- Better productivity and more income by enhanced user experience
- Reinforced security and compliance improvised
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E-commerce
Machine learning will help in offering relevant search results to customers while searching for a product. According to user preference, ML functionalities help your application to recommend as the best available product. In the case of mobile e-commerce apps, e-bay and shopbot are one of the best examples where machine learning is implemented. Now-s-days intelligent chatbots have added a lot in creativity. They communicate with the customer in natural language, identify an issue, and resolve it. Get higher satisfaction through automated customer support.
In short, we have explained how to use ML in e-commerce through below points
- Product research
- Product recommendation and promotions
- Fraud detection
- Trend forecasting
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Health care
Machine learning is also taking over the hospitality and medical industry. It could analyze the symptoms and help users in providing measures to cope with it.
Sensor equipped mobile apps can analyze the important data and help a user with training and nourishment programs. Similar to the healthcare industry, fitness tracking and consumer healthcare are also booming with trends and valuable concerning lifestyle-related recommendations and best treatments.
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Restaurants and food delivery
ML used in restaurants mobile app helps in taking inquiries, orders, and suggesting recipes as per customer preference. Detailed listing and data mining help in experimenting with menu items.
List of top Machine learning mobile app examples/companies
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Snapchat
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Tinder
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Netflix
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Yelp
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Facebook
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eBay
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GoogleMaps
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Dango
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Uber
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Oval money
Closing thoughts on machine learning technology used for mobile apps -
From the above discussion, we can conclude that ML is an intelligent and innovative technology that can be used in any sector and any kind of mobile app development. There is extreme growth, and this trend is going to impact the future of mobile app in the coming time every app will divide according to niche and usability. So in this 2020, let’s expect new trends and beginning of trend revolution, which will bring new hope and advancement to ease human errors and hard work.
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