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Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning
A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly an...
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Lenguaje: | eng |
Publicado: |
Packt Publishing
2019
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Acceso en línea: | http://cds.cern.ch/record/2685800 |
_version_ | 1780963477077098496 |
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author | Smith, Taylor |
author_facet | Smith, Taylor |
author_sort | Smith, Taylor |
collection | CERN |
description | A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems. |
id | cern-2685800 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Packt Publishing |
record_format | invenio |
spelling | cern-26858002021-04-21T18:20:17Zhttp://cds.cern.ch/record/2685800engSmith, TaylorSupervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learningComputing and ComputersA supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems.Packt Publishingoai:cds.cern.ch:26858002019 |
spellingShingle | Computing and Computers Smith, Taylor Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning |
title | Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning |
title_full | Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning |
title_fullStr | Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning |
title_full_unstemmed | Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning |
title_short | Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning |
title_sort | supervised machine learning with python: develop rich python coding practices while exploring supervised machine learning |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2685800 |
work_keys_str_mv | AT smithtaylor supervisedmachinelearningwithpythondeveloprichpythoncodingpracticeswhileexploringsupervisedmachinelearning |