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You're reading from  Serverless Machine Learning with Amazon Redshift ML

Product typeBook
Published inAug 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781804619285
Edition1st Edition
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Authors (4):
Debu Panda
Debu Panda
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Debu Panda

Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re:Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).
Read more about Debu Panda

Phil Bates
Phil Bates
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Phil Bates

Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.
Read more about Phil Bates

Bhanu Pittampally
Bhanu Pittampally
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Bhanu Pittampally

Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.
Read more about Bhanu Pittampally

Sumeet Joshi
Sumeet Joshi
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Sumeet Joshi

Sumeet Joshi is an Analytics Specialist Solutions Architect based out of New York. He specializes in building large-scale data warehousing solutions. He has over 17 years of experience in the data warehousing and analytical space.
Read more about Sumeet Joshi

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An introduction to classification algorithms

Classification is the process of categorizing any kind of entity or class so that it is better understood and analyzed. The classifying process usually happens as part of a pre-setup business process (for example, tagging a product as defective or good after observing it), or through a return process (for example, tagging a product as defective after the customer returned it as defective). In either event, the important point is classifying an entity – in this case, a product into a class (i.e., defective or not).

Figure 6.1 shows data that has been classified into two classes using three input variables. The figure shows where a pair of Input and Output data points are categorized into two classes. When output labels consist of only two classes, it is called a binary classification problem:

Figure 6.1 – Binary classification

Figure 6.1 – Binary classification

If the output variable consists of more than two classes –...

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Serverless Machine Learning with Amazon Redshift ML
Published in: Aug 2023Publisher: PacktISBN-13: 9781804619285

Authors (4)

author image
Debu Panda

Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re:Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).
Read more about Debu Panda

author image
Phil Bates

Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.
Read more about Phil Bates

author image
Bhanu Pittampally

Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.
Read more about Bhanu Pittampally

author image
Sumeet Joshi

Sumeet Joshi is an Analytics Specialist Solutions Architect based out of New York. He specializes in building large-scale data warehousing solutions. He has over 17 years of experience in the data warehousing and analytical space.
Read more about Sumeet Joshi