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You're reading from  Machine Learning for Developers

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781786469878
Edition1st Edition
Languages
Python
Tools
SciPyScikit-learn
Concepts
Machine Learning
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Authors (2):
Rodolfo Bonnin
Rodolfo Bonnin
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Rodolfo Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.
Read more about Rodolfo Bonnin

Md Mahmudul Hasan
Md Mahmudul Hasan
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Md Mahmudul Hasan


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Dataset definition and retrieval

Once we have identified the data sources, the next task is to gather all the tuples or records as a homogeneous set. The format can be a tabular arrangement, a series of real values (such as audio or weather variables), and N-dimensional matrices (a set of images or cloud points), among other types.

The ETL process

The previous stages in the big data processing field evolved over several decades under the name of data mining, and then adopted the popular name of big data.

One of the best outcomes of these disciplines is the specification of the Extraction, Transform, Load (ETL) process.

This process starts with a mix of many data sources from business systems, then moves to a system that transforms...

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Machine Learning for Developers
Published in: Oct 2017Publisher: PacktISBN-13: 9781786469878
© 2017 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Rodolfo Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.
Read more about Rodolfo Bonnin

author image
Md Mahmudul Hasan


Read more about Md Mahmudul Hasan

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