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Data science from scratch : = first ...
~
Grus, Joel.
Data science from scratch : = first principles with Python /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Data science from scratch :/ Joel Grus.
Reminder of title:
first principles with Python /
Author:
Grus, Joel.
Published:
Sebastopol, CA :O'Reilly Media, : c2019.,
Description:
xvii, 384 p. :ill. ; : 24 cm.;
Notes:
Includes index.
Subject:
Python (Computer program language) -
ISBN:
9781492041139 (pbk.) :
Data science from scratch : = first principles with Python /
Grus, Joel.
Data science from scratch :
first principles with Python /Joel Grus. - 2nd ed. - Sebastopol, CA :O'Reilly Media,c2019. - xvii, 384 p. :ill. ;24 cm.
Includes index.
Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
ISBN: 9781492041139 (pbk.) :NT1776
Source: 107490TVG
LCCN: 2019304439Subjects--Topical Terms:
566246
Python (Computer program language)
LC Class. No.: QA76.73.P98 / G78 2019
Dewey Class. No.: 005.75/65
Data science from scratch : = first principles with Python /
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Includes index.
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Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
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1166620
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