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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.
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SciPy

SciPy (pronounced sigh pi) adds a layer to NumPy that wraps common scientific and statistical applications on top of the more purely mathematical constructs of NumPy. SciPy provides higher-level functions for manipulating and visualizing data, and it is especially useful when using Python interactively. SciPy is organized into sub-packages covering different scientific computing applications. A list of the packages most relevant to ML and their functions appear as follows:

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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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Package

Description

cluster

This contains two sub-packages:

cluster.vq for K-means clustering and vector quantization.

cluster.hierachy for hierarchical and agglomerative clustering, which is useful for distance matrices, calculating statistics on clusters, as well as visualizing clusters with dendrograms.

constants

These are physical and mathematical constants such as pi and e.

integrate

These are differential equation solvers

interpolate

These are interpolation functions for creating new data...