Deep Learning Models Forecasting by Dadashi Nasrin (13 results)

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Deep Learning Models for Forecasting Financial Markets | and Blockchain Validation of Transactions | Nasrin Dadashi (u. a.) | Taschenbuch | Englisch | 2025 | Scholars' Press | EAN 9786209342271 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of how artificial intelligence and distributed ledger technology are reshaping modern finance. The book delves into advanced neural network architectures-such as LSTM, CNN, and Transformer models-for predicting market trends, price movements, and trading signals with high precision. It also investigates how blockchain enhances transactional transparency, immutability, and security in financial ecosystems. By merging predictive analytics with decentralized validation, the text presents a novel framework for building trust-driven, data-intelligent financial infrastructures. Practical case studies, algorithmic models, and implementation guidelines make this resource valuable for data scientists, economists, fintech developers, and policy analysts seeking to understand the synergy between AI-driven forecasting and blockchain-based integrity systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 100 pp. Englisch.

Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of how artificial intelligence and distributed ledger technology are reshaping modern finance. The book delves into advanced neural network architectures-such as LSTM, CNN, and Transformer models-for predicting market trends, price movements, and trading signals with high precision. It also investigates how blockchain enhances transactional transparency, immutability, and security in financial ecosystems. By merging predictive analytics with decentralized validation, the text presents a novel framework for building trust-driven, data-intelligent financial infrastructures. Practical case studies, algorithmic models, and implementation guidelines make this resource valuable for data scientists, economists, fintech developers, and policy analysts seeking to understand the synergy between AI-driven forecasting and blockchain-based integrity systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. This book offers a comprehensive exploration of how artificial intelligence and distributed ledger technology are reshaping modern finance. The book delves into advanced neural network architectures-such as LSTM, CNN, and Transformer models-for predicting market trends, price movements, and trading signals with high precision. It also investigates how blockchain enhances transactional transparency, immutability, and security in financial ecosystems. By merging predictive analytics with decentralized validation, the text presents a novel framework for building trust-driven, data-intelligent financial infrastructures. Practical case studies, algorithmic models, and implementation guidelines make this resource valuable for data scientists, economists, fintech developers, and policy analysts seeking to understand the synergy between AI-driven forecasting and blockchain-based integrity systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a comprehensive exploration of how artificial intelligence and distributed ledger technology are reshaping modern finance. The book delves into advanced neural network architectures-such as LSTM, CNN, and Transformer models-for predicting market trends, price movements, and trading signals with high precision. It also investigates how blockchain enhances transactional transparency, immutability, and security in financial ecosystems. By merging predictive analytics with decentralized validation, the text presents a novel framework for building trust-driven, data-intelligent financial infrastructures. Practical case studies, algorithmic models, and implementation guidelines make this resource valuable for data scientists, economists, fintech developers, and policy analysts seeking to understand the synergy between AI-driven forecasting and blockchain-based integrity systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Condition: New. PRINT ON DEMAND.