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

1
MACHINE LEARNING IN MOBILE APPS DEVELOPMENT HOW
TO IMPLEMENT IT IN YOUR APPS?
2
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.

3
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.

4

• Shopping sites
• Various E-commerce sites like Amazon aim to
  provide content that is similar to the users
  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.

5
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.

6

• 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.

7
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
  e-commerce 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.

8

• 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.

9
Looking for a Machine Learning SolutionContact Us

• https//www.consagous.com/machine-learning-solutio
  ns/
• https//www.consagous.com
• info_at_consagous.com

10
(No Transcript)