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Learning Einstein Analytics

You're reading from   Learning Einstein Analytics Unlock critical insights with Salesforce Einstein Analytics

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788475761
Length 242 pages
Edition 1st Edition
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Author (1):
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Santosh Tukaram Chitalkar Santosh Tukaram Chitalkar
Author Profile Icon Santosh Tukaram Chitalkar
Santosh Tukaram Chitalkar
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Toc

Summary


Machine learning, deep learning, and NLP are integral parts of the AI. This can help us with making predictions, sentiment analysis, and pattern reorganizations to understand customer needs. Einstein Vision and Einstein Language help the user understand the customer's sentiments and the intent of their text from email, chats, and social media platforms.

We started this book with an introduction to Einstein Analytics and are finishing with machine learning and deep learning. I hope you enjoyed this journey of learning Einstein Analytics. In this book, we learned about basic concepts and terminologies, lenses, and creating dashboards. We explored data recipes, XMD, and embedding into multiple environments. In this chapter, we took an overview of both machine learning and deep learning. The idea of is to combine business intelligence with AI to get data insights and help customers. I wish you luck on your journey to Einstein Analytics and your career. 

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