With the worldwide spread of cryptocurrencies, data has become richer and more heterogeneous than before and, as a result, poses a new problem related to prediction and decision making. Although there has been recent increase in acceptance of deep learning (DL) technologies, the current analytical models appear to have limited correspondence with cryptocurrency markets. This work directly addresses price forecasting, fraud detection, sentiment analysis, and risk management, thus illustrating the applicability of the current technologies. We implement complex and novel deep learning techniques such as long short-term memory, gated recurrent unit, Bidirectional-LSTM to explore the temporal and spatial behaviour of data associated with cryptocurrencies. These models enable accurate predictions of price and market trends along with reinforcement strategies to refine trading strategies and generative models to assess the market and project what the future might require. This is used to help investors and traders spot patterns in the buying and selling of various crypto currencies, these models might have far-reaching effects on the economy.
"synopsis" may belong to another edition of this title.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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. Seller Inventory # L0-9786208452926
Quantity: Over 20 available
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. With the worldwide spread of cryptocurrencies, data has become richer and more heterogeneous than before and, as a result, poses a new problem related to prediction and decision making. Although there has been recent increase in acceptance of deep learning (DL) technologies, the current analytical models appear to have limited correspondence with cryptocurrency markets. This work directly addresses price forecasting, fraud detection, sentiment analysis, and risk management, thus illustrating the applicability of the current technologies. We implement complex and novel deep learning techniques such as long short-term memory, gated recurrent unit, Bidirectional-LSTM to explore the temporal and spatial behaviour of data associated with cryptocurrencies. These models enable accurate predictions of price and market trends along with reinforcement strategies to refine trading strategies and generative models to assess the market and project what the future might require. This is used to help investors and traders spot patterns in the buying and selling of various crypto currencies, these models might have far-reaching effects on the economy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786208452926
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9786208452926
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 80 pp. Englisch. Seller Inventory # 9786208452926
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26405273734
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 407913305
Quantity: 4 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. With the worldwide spread of cryptocurrencies, data has become richer and more heterogeneous than before and, as a result, poses a new problem related to prediction and decision making. Although there has been recent increase in acceptance of deep learning (DL) technologies, the current analytical models appear to have limited correspondence with cryptocurrency markets. This work directly addresses price forecasting, fraud detection, sentiment analysis, and risk management, thus illustrating the applicability of the current technologies. We implement complex and novel deep learning techniques such as long short-term memory, gated recurrent unit, Bidirectional-LSTM to explore the temporal and spatial behaviour of data associated with cryptocurrencies. These models enable accurate predictions of price and market trends along with reinforcement strategies to refine trading strategies and generative models to assess the market and project what the future might require. This is used to help investors and traders spot patterns in the buying and selling of various crypto currencies, these models might have far-reaching effects on the economy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208452926
Quantity: 1 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18405273740
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the worldwide spread of cryptocurrencies, data has become richer and more heterogeneous than before and, as a result, poses a new problem related to prediction and decision making. Although there has been recent increase in acceptance of deep learning (DL) technologies, the current analytical models appear to have limited correspondence with cryptocurrency markets. This work directly addresses price forecasting, fraud detection, sentiment analysis, and risk management, thus illustrating the applicability of the current technologies. We implement complex and novel deep learning techniques such as long short-term memory, gated recurrent unit, Bidirectional-LSTM to explore the temporal and spatial behaviour of data associated with cryptocurrencies. These models enable accurate predictions of price and market trends along with reinforcement strategies to refine trading strategies and generative models to assess the market and project what the future might require. This is used to help investors and traders spot patterns in the buying and selling of various crypto currencies, these models might have far-reaching effects on the economy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786208452926
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the worldwide spread of cryptocurrencies, data has become richer and more heterogeneous than before and, as a result, poses a new problem related to prediction and decision making. Although there has been recent increase in acceptance of deep learning (DL) technologies, the current analytical models appear to have limited correspondence with cryptocurrency markets. This work directly addresses price forecasting, fraud detection, sentiment analysis, and risk management, thus illustrating the applicability of the current technologies. We implement complex and novel deep learning techniques such as long short-term memory, gated recurrent unit, Bidirectional-LSTM to explore the temporal and spatial behaviour of data associated with cryptocurrencies. These models enable accurate predictions of price and market trends along with reinforcement strategies to refine trading strategies and generative models to assess the market and project what the future might require. This is used to help investors and traders spot patterns in the buying and selling of various crypto currencies, these models might have far-reaching effects on the economy. Seller Inventory # 9786208452926