You're reading from Hands-On Machine Learning with Microsoft Excel 2019

Product typeBook

Published inApr 2019

PublisherPackt

ISBN-139781789345377

Edition1st Edition

Tools

Excel

Concepts

Machine Learning

Author (1)

Julio Cesar Rodriguez Martino

Summary

We went through all the necessary steps to open an account in AMLS, a part of the Microsoft Azure cloud that helps us to build simple data and analysis flows. We also built two experiments: one of them trains a decision tree and the other predicts the target variable. Then we learned how to create a web service and connect Excel to it, sending and receiving data.

In the next chapter, we will show the present status of machine learning, which almost completely moves operations to the cloud, makes the data flows completely automatic, and uses automation to fine-tune the predictive models.

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Hands-On Machine Learning with Microsoft Excel 2019

Published in: Apr 2019Publisher: PacktISBN-13: 9781789345377

Author (1)

Julio Cesar Rodriguez Martino

Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks. Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.
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