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Democratizing Application Development with AppSheet

You're reading from  Democratizing Application Development with AppSheet

Product type Book
Published in Jan 2023
Publisher Packt
ISBN-13 9781803241173
Pages 396 pages
Edition 1st Edition
Languages
Authors (3):
Koichi Tsuji Koichi Tsuji
Profile icon Koichi Tsuji
Suvrutt Gurjar Suvrutt Gurjar
Profile icon Suvrutt Gurjar
Takuya Miyai Takuya Miyai
Profile icon Takuya Miyai
View More author details

Table of Contents (20) Chapters

Preface 1. Part 1 – Introduction and Getting Started
2. Chapter 1: Getting Started with AppSheet 3. Part 2 – App Editor and Main Features
4. Chapter 2: Understanding App Editor and Data Sources 5. Chapter 3: Presenting App Data with UX/Views 6. Chapter 4: Manipulating Data with Functions and Expressions 7. Chapter 5: Manipulating Data with Behaviors and Actions 8. Chapter 6: Controlling App Users and Data Security 9. Chapter 7: Managing the App Environment 10. Part 3 – Advanced Features and External Services
11. Chapter 8: Automating Recurring Data Changes and Scheduling Tasks 12. Chapter 9: Using Intelligence and Advanced Features 13. Chapter 10: Extending App Capabilities with Third-Party Services 14. Part 4 – App Templates and Tricks for App Building
15. Chapter 11: Building More Apps with App Templates 16. Chapter 12: Tips and Tricks 17. Chapter 13: Appendix 18. Index 19. Other Books You May Enjoy

Using Intelligence and Advanced Features

AppSheet is not only a data-driven platform for developing feature-rich business applications but is also powered by artificial intelligence (AI) to give it additional and advanced functionality in terms of data searching, predictions, and data scraping image files. Throughout this chapter, a brief explanation of three different key AppSheet advanced features will be given so that you are familiarized with each feature, driven by the power of machine learning.

Besides the Smart Assistant feature, in order to use the other features, predictive models and optical character recognition (OCR), you need to train your own model as a first step. During this process, you will teach the AI models behind the scenes of AppSheet to get the desired results, such as the result of a prediction based on your own dataset and precise text extraction out of your own images. This training process is an important step in starting to use these unique features...

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