Deep Learning for Financial Markets: A Practical Guide - Tapa blanda

Deep Learning for Financial Markets (Paperback)

Paperback. Condición: new. Paperback. Reactive PublishingDeep Learning for Financial Markets bridges the gap between theory and execution-offering a hands-on roadmap for leveraging AI to navigate, analyze, and outperform modern markets.Written for quants, traders, data scientists, and financial professionals, this practical guide demystifies cutting-edge neural network techniques and shows how to apply them directly to algorithmic trading, portfolio optimization, risk modeling, and financial forecasting. With a focus on actionable implementations using Python, PyTorch, and TensorFlow, Hayden Van Der Post walks you through end-to-end workflows, including data preprocessing, model architecture, hyperparameter tuning, and live deployment strategies.From LSTMs for time-series prediction to transformers for market pattern recognition, this book is designed to give you a real competitive edge-whether you're developing your first model or optimizing complex trading strategies.If you're ready to move beyond buzzwords and into profit-driven, AI-powered finance, this is your field manual. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798316335022

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