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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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Jillur Quddus Jillur Quddus
Author Profile Icon Jillur Quddus
Jillur Quddus
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Toc

Deep learning

In deep learning, a subfield within the broader field of machine learning, the goal is still to learn a function but by employing an architecture that mimics the neural architecture found in the human brain in order to learn from experience using a hierarchy of concepts or representations. This enables us to develop more complex and powerful functions in order to predict outcomes better.

Many machine learning models employ a two-layer architecture, where some sort of function maps an input to an output. However, in the human brain, multiple layers of processing are found, in other words, a neural network. By mimicking natural neural networks, artificial neural networks (ANN) offer the ability to learn complex non-linear representations with no restrictions on the input features and are ideally suited to a wide variety of exciting use cases, including speech, image...

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