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Hands-On Data Warehousing with Azure Data Factory

You're reading from   Hands-On Data Warehousing with Azure Data Factory ETL techniques to load and transform data from various sources, both on-premises and on cloud

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781789137620
Length 284 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
Author Profile Icon Christian Cote
Christian Cote
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
Michelle Gutzait Michelle Gutzait
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Michelle Gutzait
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Toc

Machine learning tasks

When we first venture into the use of artificial intelligence for data analysis, the first problem we are faced with is to choose the most appropriate algorithm for solving a specific problem. Analyzing the available algorithms, we immediately realize that the choice is not so immediate and requires an appropriate investigation.

A first approach to the problem involves the specification of the task that our machine learning algorithm will have to face. In this sense we can rest assured: there are only a handful of tasks to be analyzed even if, for each of these activities, different approaches and algorithms are available.

In fact, even if all machine learning algorithms take the same data as input, what they'll want to achieve is different. Machine learning algorithms can generally be classified into a few groups based on the tasks they were designed...

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