Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning

Buy

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

  • Build smart mobile applications for Android and iOS devices
  • Use popular machine learning toolkits such as Core ML and TensorFlow Lite
  • Explore cloud services for machine learning that can be used in mobile apps

Book Description

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.

What you will learn

  • Build intelligent machine learning models that run on Android and iOS
  • Use machine learning toolkits such as Core ML, TensorFlow Lite, and more
  • Learn how to use Google Mobile Vision in your mobile apps
  • Build a spam message detection system using Linear SVM
  • Using Core ML to implement a regression model for iOS devices
  • Build image classification systems using TensorFlow Lite and Core ML

Who this book is for

If you are a mobile app developer or a machine learning enthusiast keen to use machine learning to build smart mobile applications, this book is for you. Some experience with mobile application development is all you need to get started with this book. Prior experience with machine learning will be an added bonus

Table of Contents

  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
(HTML tags aren't allowed.)

Pro Python 3: Features and Tools for Professional Development
Pro Python 3: Features and Tools for Professional Development

Refine your programming techniques and approaches to become a more productive and creative Python programmer. This book explores the concepts and features that will improve not only your code but also your understanding of the Python community with insights and details about the Python philosophy.

Pro Python 3,...

Proof Complexity (Encyclopedia of Mathematics and its Applications)
Proof Complexity (Encyclopedia of Mathematics and its Applications)
Proof complexity is a rich subject drawing on methods from logic, combinatorics, algebra and computer science. This self-contained book presents the basic concepts, classical results, current state of the art and possible future directions in the field. It stresses a view of proof complexity as a whole entity rather than a collection of various...
Scheduling Algorithms
Scheduling Algorithms
From the reviews of the fourth edition: 

"This is a book about scheduling algorithms. … The book contains eleven chapters. … Most of the chapters contain the summarized complexity results. In this edition the complexity columns have been updated. The book is completed by the bibliography which also has been updated and...


Handbook of RF and Microwave Power Amplifiers (The Cambridge RF and Microwave Engineering Series)
Handbook of RF and Microwave Power Amplifiers (The Cambridge RF and Microwave Engineering Series)
In 1989, I was responsible for organizing a workshop at the European Microwave Conference on High-Power Solid State Amplifiers. This workshop proved popular and so Artech House asked me to persuade the speakers to turn their material into a formsuitable for publication, the result was the book entitled “High-Power GaAs FET...
Economics
Economics

Economics is a highly respected and successful textbook, valued world-wide by students for its comprehensive and engaging coverage of introductory economics. The book presents economics as an interesting, lively and relevant subject and it helps students to see how the world works by developing "an economic way of thinking" Its...

DevOps in Python: Infrastructure as Python
DevOps in Python: Infrastructure as Python
Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. 

You'll start by writing command-line scripts and
...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy