You're reading from Machine Learning with the Elastic Stack - Second Edition

Product typeBook

Published inMay 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781801070034

Edition2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Rich Collier

Camilla Montonen

Bahaaldine Azarmi

View More author details

Classification under the hood: gradient boosted decision trees

The ultimate goal for a classification task is to solve a problem that requires us to take previously unseen data points and try to infer which of the several possible classes they belong to. We achieve this by taking a labeled training dataset that contains a representative number of data points, extracting relevant features that allow us to learn a decision boundary, and then encode the knowledge about this decision boundary into a classification model. This model then makes decisions about which class a given data point belongs to. How does the model learn to do this? This is the question that we will try to answer in this section.

In accordance with our habits throughout the book, let's start by exploring conceptually what tools humans use to navigate a set of complicated decisions. A familiar tool that many of us have used before to help make decisions when several, possibly complex factors are involved, is...

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Machine Learning with the Elastic Stack - Second Edition

Published in: May 2021Publisher: PacktISBN-13: 9781801070034

Authors (3)

Rich Collier

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.
Read more about Rich Collier

Camilla Montonen

Camilla Montonen is a Senior Machine Learning Engineer at Elastic.
Read more about Camilla Montonen

Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Read more about Bahaaldine Azarmi

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Classification under the hood: gradient boosted decision trees

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