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Learning Salesforce Einstein

You're reading from   Learning Salesforce Einstein Add artificial intelligence capabilities to your business solutions with Heroku, PredictiveIO, and Force

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Length 334 pages
Edition 1st Edition
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Author (1):
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Mohit Shrivatsava Mohit Shrivatsava
Author Profile Icon Mohit Shrivatsava
Mohit Shrivatsava
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Table of Contents (10) Chapters Close

Preface 1. Introduction to AI FREE CHAPTER 2. Role of AI in CRM and Cloud Applications 3. Building Smarter Apps Using PredictionIO and Heroku 4. Product Recommendation Application using PredicitionIO and Salesforce App Cloud 5. Salesforce Einstein Vision 6. Building Applications Using Einstein Vision and Salesforce Force.com Platform 7. Einstein for Analytics Cloud 8. Einstein and Salesforce IoT Cloud Platform 9. Measuring and Testing the Accuracy of Einstein

Summary

In this chapter, we covered how to use the Einstein Vision Services API using CURL to create and train the dataset, and then use the trained dataset to ask for predictions. We also covered how to build an end-to-end Node.js application using a modern day JavaScript framework such as React, and using a middleware such as Express. With Heroku, deployment of applications from the local machine to the server is painless. This chapter covered how to deploy a node-based application on Heroku. Throughout this journey, we touched upon some of the newest ES6 JavaScript syntaxes. Do not worry if you did not get the ES6 syntax right--it gets easier with practice and experience. Mozilla Developer Network (MDN) has some great documentation on ES6 and TypeScript syntaxes. You can take a peek here to learn ES6 and enhance your skills:
https://developer.mozilla.org/en-US/docs/Web/JavaScript...

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