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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

Measuring and Testing the Accuracy of Einstein

n this chapter, we will discuss how to measure the accuracy of the data provided by Einstein using Salesforce reporting. We will also look into the details of how to measure the accuracy of machine learning algorithms for PredictionIO and fine-tune performances via the cross-validation approach.

In this chapter, we will cover the following topics in detail:

  • Measuring the accuracy of Sales Cloud Einstein
  • Building evaluation metrics for the PredictionIO systems
  • Measuring the accuracy of Salesforce Einstein Vision
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