MACHINE LEARNING IN MOBILE APPS DEVELOPMENT HOW TO IMPLEMENT IT IN YOUR APPS

MACHINE LEARNING IN MOBILE APPS DEVELOPMENT: HOW TO IMPLEMENT IT IN YOUR APPS?

What is Machine Learning?

 Computers can learn on their own without the need to code and program for the different elements.  This can also help you to provide you with an extra edge over the other apps and stand out from the other apps.

Some major apps that use Machine Learning in their apps:  Google Play Store and Apple App Store:  Widely implemented in the Google Play Store as based on the types of apps installed and browsed on your device.

 Snapchat Filters:  Includes snapchat filters that make use of facial recognition to recognize the face and learn what the face looks like.

 Siri, Cortana, and Google Assistant:  Based on the user responses and their voice searches, these learn more and more about the users and then aim to provide relevant and accurate results.

 Shopping sites:  Various E-commerce sites like Amazon aim to provide content that is similar to the user’s request.  Provide relevant ads:  Ads are displayed on the mobiles to attract more and more consumers to a particular product.

 Tinder:  It also makes use of machine learning with the help of smart photos to find a perfect match for the user.

 Netflix:  Netflix also makes use of the Machine Learning app like Linear regression, Logistic regression, and other machine learning algorithms.

How to implement the Machine Learning into your apps?  Tensor flow:  An open source machine, learning library from Google used to implement machine learning into your apps.  Many multinational companies like Google, MI, Snapchat, Intel, Dropbox, Twitter, eBay, and many more such apps uses it.

 Core ML:  Provided by Apple and can be used to create mobile apps and implement machine learning into the iOS apps.  Amazing features like face detection, text recognition, object tracking, image registration, face tracking, image recognition, barcode detection and several such items.

 Amazon Machine Learning:  Managed by Amazon and provides easy to manage tools to implement machine learning into your websites.  It helps to make use of the smart APIs and real-time predictions for different apps.

 Wit.ai:  Implement machine learning into the web apps.  Transform the apps and provide different solutions based on the natural language.

Benefits of Machine Learning in the apps:  Provide better and relevant content:  The content is provided to the users based on their interests, these get better responses from the users.

 Increase sales:  Machine learning if properly implemented in the ecommerce websites, can help to enhance the sales of an organization.

 Security:  Safety and security are also provided with the help of machine learning.  You can block certain IP addresses, users, and locations that indulge in malicious practices.

 Predictions:  By data can learn behavioral patterns, market, upcoming trends, and various other such information.

 Provide better user experience:  Machine learning with the help of personalization and by offering better results can turn out to provide the better user experience.

 Brand development:  The information gathered with the help of machine learning can be used to provide a better experience to the users by knowing more about them.

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