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Estimation procedures of using five alternative machine learning methods for predicting credit card default

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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

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Economic nowcasting with long short-term memory artificial neural networks (LSTM)

Hopp, Daniel - 2021

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Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies

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Performance of long short-term memory artificial neural networks in nowcasting during the COVID-19 crisis

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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 …

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A basic time series forecasting course with Python

Zemkoho, Alain B. - In: Operations research forum 4 (2023) 1, pp. 1-43

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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 …

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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

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Business analytics : methods, models, and decisions

Evans, James R. - 2017 - Second edition, global edition

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