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You're reading from  Designing Machine Learning Systems with Python

Product typeBook
Published inApr 2016
Reading LevelBeginner
Publisher
ISBN-139781785882951
Edition1st Edition
Languages
Python
Tools
Scikit-learn
Concepts
Machine Learning
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Author (1)
David Julian
David Julian
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David Julian

David Julian is a freelance technology consultant and educator. He has worked as a consultant for government, private, and community organizations on a variety of projects, including using machine learning to detect insect outbreaks in controlled agricultural environments (Urban Ecological Systems Ltd., Bluesmart Farms), designing and implementing event management data systems (Sustainable Industry Expo, Lismore City Council), and designing multimedia interactive installations (Adelaide University). He has also written Designing Machine Learning Systems With Python for Packt Publishing and was a technical reviewer for Python Machine Learning and Hands-On Data Structures and Algorithms with Python - Second Edition, published by Packt.
Read more about David Julian

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Big data

The amount of data that's being created and stored on a global level is almost inconceivable, and it just keeps growing. Big data is a term that describes the large volume of data—both structured and unstructured. Let's now delve deeper into big data, beginning with the challenges of big data.

Challenges of big data

Big data is characterized by three challenges. They are as follows:

  • The volume of the data

  • The velocity of the data

  • The variety of the data

Data volume

The volume problem can be approached from three different directions: efficiency, scalability, and parallelism. Efficiency is about minimizing the time it takes for an algorithm to process a unit of information. A component of this is the underlying processing power of the hardware. The other component, and the one that we have more control over, is ensuring that our algorithms are not wasting precious processing cycles with unnecessary tasks.

Scalability is really about brute force and throwing as much hardware at a problem...

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Designing Machine Learning Systems with Python
Published in: Apr 2016Publisher: ISBN-13: 9781785882951
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
David Julian

David Julian is a freelance technology consultant and educator. He has worked as a consultant for government, private, and community organizations on a variety of projects, including using machine learning to detect insect outbreaks in controlled agricultural environments (Urban Ecological Systems Ltd., Bluesmart Farms), designing and implementing event management data systems (Sustainable Industry Expo, Lismore City Council), and designing multimedia interactive installations (Adelaide University). He has also written Designing Machine Learning Systems With Python for Packt Publishing and was a technical reviewer for Python Machine Learning and Hands-On Data Structures and Algorithms with Python - Second Edition, published by Packt.
Read more about David Julian

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