Catalog Search | Arlington Heights Memorial Library

An introduction to statistical learning : with applications in R

Series: Springer Texts In Statistics

An introduction to statistical learning : with applications in R cover image cdn

0 holds on 1 copy

2017Original release 2013

Location: Adult Nonfiction

519.5/INTRODUCTION

Available

LOCATIONS	STATUS	CALL NUMBER	PUBLISHED
Adult Nonfiction	Available	519.5/INTRODUCTION	2017, Original release 2013

Practical time series analysis : prediction with statistics and machine learning

by Nielsen, Aileen,

Practical time series analysis : prediction with statistics and machine learning cover image cdn

0 holds on 1 copy

2019Original release 2020

Location: Adult Nonfiction

006.312/NIELSEN,A

Available

LOCATIONS	STATUS	CALL NUMBER	PUBLISHED
Adult Nonfiction	Available	006.312/NIELSEN,A	2019, Original release 2020

The art of statistics : how to learn from data

by Spiegelhalter, D. J.,

The art of statistics : how to learn from data cover image cdn

0 holds on 1 copy

2019

Location: Adult Nonfiction

519.5/SPIEGELHALTER,D

Available

LOCATIONS	STATUS	CALL NUMBER	PUBLISHED
Adult Nonfiction	Available	519.5/SPIEGELHALTER,D	2019

Statistical Learning for Big Dependent Data

by Tsay, Ruey S.,

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Elements of Statistical Learning

by Verma, Swarnalata,

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Learning Statistics

Series: Kanopy Ecourses

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Learning Statistics. Episode 7, Validating Statistical Assumptions

Series: Kanopy Ecourses

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Core Concepts in Statistical Learning

by Gulati, Tushar,

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Machine Learning and Statistical Modeling

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Learning Statistics. Episode 18, Statistical Design of Experiments

Series: Kanopy Ecourses

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Learning RStudio for R Statistical Computing

by Van Der Loo, Mark P. J.,

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Learning Statistics. Episode 21, Spatial Statistics

Series: Kanopy Ecourses

Learning Statistics. Episode 21, Spatial Statistics cover image cdn

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An Elementary Introduction to Statistical Learning Theory

by Harman, Gilbert,

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Statistics for Machine Learning

by Dangeti, Pratap,

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Statistical and Machine Learning Approaches for Network Analysis

by Dehmer, Matthias,

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