{ "item_title" : "Deep Learning for Financial Markets", "item_author" : [" Reactive Publishing", "Johann Strauss", "Vincent Bisette "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/831/633/9798316335022_b.jpg", "price_data" : { "retail_price" : "42.99", "online_price" : "42.99", "our_price" : "42.99", "club_price" : "42.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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