Reader small image

You're reading from  Machine Learning for Mobile

Product typeBook
Published inDec 2018
PublisherPackt
ISBN-139781788629355
Edition1st Edition
Right arrow
Authors (2):
Revathi Gopalakrishnan
Revathi Gopalakrishnan
author image
Revathi Gopalakrishnan

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.
Read more about Revathi Gopalakrishnan

Avinash Venkateswarlu
Avinash Venkateswarlu
author image
Avinash Venkateswarlu

Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.
Read more about Avinash Venkateswarlu

View More author details
Right arrow

Key innovation areas


The following sections detail some of the business areas where innovation is happening, leveraging the power of ML. A number of players are already leading the way in this regard.

Personalization applications

Understanding user behavior by leveraging various parameters that are provided through mobile devices and understanding their life patterns for the purposes of personalization will be of value to users. When the same mobile application is going to cater to user profiles across a broad spectrum, it will be of significant value if it could provide specific features that best suit the person using it. Such advanced personalization could be brought into applications by leveraging ML.

Healthcare

Here, there are various use cases that help track various health parameters that can be tracked, learned, and put into use for providing innovations in healthcare, such as diagnostic applications that can diagnose based on pictures and sound from mobile applications.

Fitness tracking...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Machine Learning for Mobile
Published in: Dec 2018Publisher: PacktISBN-13: 9781788629355

Authors (2)

author image
Revathi Gopalakrishnan

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.
Read more about Revathi Gopalakrishnan

author image
Avinash Venkateswarlu

Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.
Read more about Avinash Venkateswarlu