The Resource Introduction to machine learning with Python : a guide for data scientists, Andreas C. Müller and Sarah Guido

Introduction to machine learning with Python : a guide for data scientists, Andreas C. Müller and Sarah Guido

Label
Introduction to machine learning with Python : a guide for data scientists
Title
Introduction to machine learning with Python
Title remainder
a guide for data scientists
Statement of responsibility
Andreas C. Müller and Sarah Guido
Creator
Contributor
Author
Subject
Language
eng
Summary
"Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You{u2019}ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you'll learn: Fundamental concepts and applications of machine learning ; Advantages and shortcomings of widely used machine learning algorithms ; How to represent data processed by machine learning, including which data aspects to focus on ; Advanced methods for model evaluation and parameter tuning ; The concept of pipelines for chaining models and encapsulating your workflow ; Methods for working with text data, including text-specific processing techniques ; Suggestions for improving your machine learning and data science skills"--Provided by publisher
Cataloging source
UMI
Dewey number
005.13/3
Illustrations
illustrations
Index
index present
LC call number
QA76.73.P98
Literary form
non fiction
Nature of contents
dictionaries
Label
Introduction to machine learning with Python : a guide for data scientists, Andreas C. Müller and Sarah Guido
Publication
Copyright
Note
Includes index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up
Control code
ocn960211579
Dimensions
unknown
Edition
First edition
Extent
1 online resource (378 pages)
Form of item
online
Isbn
9781449369903
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000791
http://library.link/vocab/recordID
.b36488008
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)960211579
  • safari1449369405

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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