(正版) 预测股市走势的深度学习工具 Deep Learning Tools for Predicting Stock Market Movements 预测股市走势的深度学习工具 (需预定或E版)
(英文原版正品)下单前请先咨询，未经咨询下此单不发货。
￥ 3299 全新
仅1件
辽宁沈阳
认证卖家担保交易快速发货售后保障
作者Kiran Mehta
出版社Wiley & Sons, Incorporated, John
ISBN9781394214303
出版时间2024
装帧精装
上书时间2024-08-22
- 店主推荐
- 最新上架
商品详情
- 品相描述：全新
- 商品描述
-
DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.
Journey into the realm of deep learning and embrace the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis.
This Book Discusses
- Delves into the development of an ensemble model for stock market prediction, combining Long Short-Term Memory and autoregressive Integrated Moving Average
- Explains rapid expansion of quantum computing technologies which change software engineering and addresses the challenges of literate analysis using data from several libraries
- Provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions
- Explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers
— 没有更多了 —
以下为对购买帮助不大的评价