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- Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
E-book details
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
Revathi Gopalakrishnan, Avinash Venkateswarlu
Ebook
Machine learning presents an entirely unique opportunity in software development. It allows smartphones to produce an enormous amount of useful data that can be mined, analyzed, and used to make predictions. This book will help you master machine learning for mobile devices with easy-to-follow, practical examples.
You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains.
By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices.
You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains.
By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices.
- 1. Introduction to Machine Learning on Mobile
- 2. Supervised and Unsupervised Learning Algorithms
- 3. Random Forest on iOS
- 4. Tensor Flow Mobile in Android
- 5. Regression Using CoreML in iOS
- 6. ML Kit and Image Labelling
- 7. Spam Message Detection in iOS - CoreML
- 8. Fritz – iOS and Android
- 9. Neural Networks on Mobile
- 10. Mobile Application using Google Cloud Vision
- 11. Future of ML on Mobile Applications
- 12. Appendix
- Title: Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
- Author: Revathi Gopalakrishnan, Avinash Venkateswarlu
- Original title: Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
- ISBN: 9781788621427, 9781788621427
- Date of issue: 2018-12-31
- Format: Ebook
- Item ID: e_15fh
- Publisher: Packt Publishing