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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

Programming languages used for machine learning

Programming languages used for machine learning depend on your requirements and expected predictions. MATLAB, R, and Python are commonly used languages because of their ability to provide powerful functions for statistical analysis.

If you want to explore and write your own machine learning algorithms, you might want to learn these languages; however, to use Einstein, PredicitonIO, or any other topic discussed in this book does not require you to know R or Python. Instead, we will keep it simple with Apex, Java, Scala, or Node that most of the developers are already familiar with.

You have been reading a chapter from
Learning Salesforce Einstein
Published in: Jun 2017
Publisher: Packt
ISBN-13: 9781787126893
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