Revathi Gopalakrishnan - Machine Learning for Mobile

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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.

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.

KarthikeyanNG is the head of engineering and technology at an Indian lifestyle and fashion retail brand. He served as a software engineer at Symantec Corporation, and has worked with two US-based start-ups as an early employee and has built various products. He has more than 9 years of experience with various scalable products using web, mobile, ML, AR, and VR technologies. He is an aspiring entrepreneur and technology evangelist. His interests lie in using new technologies and innovative ideas to resolve problems. He has also bagged prizes from more than 15 hackathons and is a TEDx speaker and a speaker at technology conferences and meetups, as well as a guest lecturer at a Bengaluru University. When not at work, he is found trekking.

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This book will help you perform machine learning on mobile with simple practical examples. You start from the basics of machine learning, and by the time you complete the book, you will have a good grasp of what mobile machine learning is and what tools/SDKs are available for implementing mobile machine learning, and will also be able to implement various machine learning algorithms in mobile applications that can be run in both iOS and Android.

You will learn what machine learning is and will understand what is driving mobile machine learning and how it is unique. You will be exposed to all the mobile machine learning tools and SDKs: TensorFlow Lite, Core ML, ML Kit, and Fritz on Android and iOS. This book will explore the high-level architecture and components of each toolkit. By the end of the book, you will have a broad understanding of machine learning models and will be able to perform on-device machine learning. You will get deep-dive insights into machine learning algorithms such as regression, classification, linear