Pemrograman Finansial untuk Memprediksi Volatilitas Nilai Mata Uang Kripto Berbasis Deep Learning Melalui Implementasi Metode LSTM ( Studi Kasus: Bitcoin, Ethereum, Theter dan Binance Coin)

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Pemrograman Finansial untuk Memprediksi Volatilitas Nilai Mata Uang Kripto Berbasis Deep Learning Melalui Implementasi Metode LSTM ( Studi Kasus: Bitcoin, Ethereum, Theter dan Binance Coin)

Muh. Faiq Rian Dani - Personal Name;

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PERPUSTAKAAN PUSAT 005 DAN p/2022

42322008

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Detail Information

Series Title: -
Call Number: 005 DAN p/2022
Publisher: Bumiayu : Prodi Sistem Informasi FST Univ. Peradaban., 2022
Collation: xv, 77 hal.; 30 cm
Language: Indonesia
ISBN/ISSN: -
Classification: 005
Content Type: text
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Pemrograman
Specific Detail Info: -
Statement of Responsibility: Muh. Faiq Rian Dan

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