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Data analysis with pandas
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Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies
Sokolovskyy, Yaroslav
;
Manokhin, Denys
;
Kaplunsky, Yaroslav
- In:
Technology audit and production reserves
5
(
2021
)
2/61
,
pp. 21-25
Persistent link: https://www.econbiz.de/10013167345
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Introducing a new, machine learning process, and online tools for conducting sales literature reviews : an application to the forty years of JPSSM
Kitanaka, Hideaki
;
Kwiatek, Piotr
;
Panagopoulos, Nikolaos G.
- In:
Journal of personal selling & sales management : JPSSM
41
(
2021
)
4
,
pp. 351-368
Persistent link: https://www.econbiz.de/10012695217
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Estimation procedures of using five alternative machine learning methods for predicting credit card default
Teng, Huei-Wen
;
Lee, Michael
- In:
Review of Pacific Basin financial markets and policies
22
(
2019
)
3
,
pp. 1950021-1-1950021-27
Persistent link: https://www.econbiz.de/10012156160
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4
Economic nowcasting with long short-term memory artificial neural networks (LSTM)
Hopp, Daniel
-
2021
Persistent link: https://www.econbiz.de/10012492809
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5
Analysis and prediction of China stock market return based on BP neural network
Zhang, Yize
- In:
Internet finance and digital economy : advances in …
,
(pp. 739-753)
.
2024
Persistent link: https://www.econbiz.de/10014534672
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Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis
Hopp, Daniel
-
2021
Persistent link: https://www.econbiz.de/10013536140
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7
Inventory analytics
Rossi, Roberto
-
2021
control. Inventory Analytics is the first book of its kind to adopt a practicable,
Python
-driven approach to illustrating … theories and concepts via computational examples, with each model covered in the book accompanied by its
Python
code …
Persistent link: https://www.econbiz.de/10013539531
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8
A basic time series forecasting course with
Python
Zemkoho, Alain B.
- In:
Operations research forum
4
(
2023
)
1
,
pp. 1-43
Persistent link: https://www.econbiz.de/10013488665
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Forecasting stock prices of fintech companies of India using random forest with high-frequency data
Meher, Bharat Kumar
;
Manohar Singh
;
Birau, Ramona
; …
- In:
Journal of open innovation : technology, market, and …
10
(
2024
)
1
,
pp. 1-10
., and Niyogin Ltd. Using Random Forest model with high-frequency data in
Python
. The literature review section also proves …
Persistent link: https://www.econbiz.de/10014518757
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10
Bevölkerungsentwicklung in Zeit und Raum : Datenquellen und Methoden zur quantitativen Analyse
Gerß, Wolfgang
(
ed.
)
-
2010
-
1. Aufl.
Persistent link: https://www.econbiz.de/10003866186
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