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Machine Learning with Apache Spark Quick Start Guide

You're reading from   Machine Learning with Apache Spark Quick Start Guide Uncover patterns, derive actionable insights, and learn from big data using MLlib

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789346565
Length 240 pages
Edition 1st Edition
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Author (1):
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Jillur Quddus Jillur Quddus
Author Profile Icon Jillur Quddus
Jillur Quddus
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Machine learning

Machine learning is an applied field of study within the broader subject of artificial intelligence that focuses on learning from data by detecting patterns, trends, and relationships in order to make predictions and ultimately deliver actionable insights to help decision making. Machine learning models can be split into three main types: supervised learning, unsupervised learning, and reinforced learning.

Supervised learning

In supervised learning, the goal is to learn a function that is able to map inputs x to outputs y given a labeled set of input-output pairs D, where D is referred to as the training set and N is the number of input-output pairs in the training set:

In simple applications of supervised...

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