Prediction Modeling

Nursah Alkan; Yakup Turgut; Emre Ari; Seval Ata; Mehmet Yasin Ulukus; Mehmet Ali Ergun; Omer Faruk Beyca

doi:10.1007/978-3-030-93823-9_3

Prediction Modeling

Nursah Alkan
, Yakup Turgut
, Emre Ari
, Seval Ata
, Mehmet Yasin Ulukus
, Mehmet Ali Ergun
, Omer Faruk Beyca^*

^*Bu çalışma için yazışmadan sorumlu yazar

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

Özet

Predictive modeling can be defined as modeling the historical data using statistical and machine learning techniques to predict future observations. Prediction modeling tasks can be grouped into three categories: supervised learning, unsupervised learning and reinforcement learning.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Springer Series in Advanced Manufacturing
Yayınlayan	Springer Nature
Sayfalar	49-112
Sayfa sayısı	64
DOI'lar	https://doi.org/10.1007/978-3-030-93823-9_3
Yayın durumu	Yayınlandı - 2022

Yayın serisi

Adı	Springer Series in Advanced Manufacturing
ISSN (Basılı)	1860-5168
ISSN (Elektronik)	2196-1735

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-93823-9_3

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Prediction Modeling",

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author = "Nursah Alkan and Yakup Turgut and Emre Ari and Seval Ata and Ulukus, \{Mehmet Yasin\} and Ergun, \{Mehmet Ali\} and Beyca, \{Omer Faruk\}",

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year = "2022",

doi = "10.1007/978-3-030-93823-9\_3",

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series = "Springer Series in Advanced Manufacturing",

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TY - CHAP

T1 - Prediction Modeling

AU - Alkan, Nursah

AU - Turgut, Yakup

AU - Ari, Emre

AU - Ata, Seval

AU - Ulukus, Mehmet Yasin

AU - Ergun, Mehmet Ali

AU - Beyca, Omer Faruk

PY - 2022

Y1 - 2022

N2 - Predictive modeling can be defined as modeling the historical data using statistical and machine learning techniques to predict future observations. Prediction modeling tasks can be grouped into three categories: supervised learning, unsupervised learning and reinforcement learning.

AB - Predictive modeling can be defined as modeling the historical data using statistical and machine learning techniques to predict future observations. Prediction modeling tasks can be grouped into three categories: supervised learning, unsupervised learning and reinforcement learning.

UR - https://www.scopus.com/pages/publications/85151530149

U2 - 10.1007/978-3-030-93823-9_3

DO - 10.1007/978-3-030-93823-9_3

M3 - Chapter

AN - SCOPUS:85151530149

T3 - Springer Series in Advanced Manufacturing

SP - 49

EP - 112

BT - Springer Series in Advanced Manufacturing

PB - Springer Nature

ER -

Prediction Modeling

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap