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Learning Salesforce Einstein

You're reading from  Learning Salesforce Einstein

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Pages 334 pages
Edition 1st Edition
Languages

Table of Contents (10) Chapters

Preface 1. Introduction to AI 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.

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Learning Salesforce Einstein
Published in: Jun 2017 Publisher: Packt ISBN-13: 9781787126893
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