دانلود کتاب Deep Learning for Finance 2024

“Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python” is a comprehensive guide authored by Sofien Kaabar, set to be released in January 2024. The book aims to demystify the complexities of deep learning in the financial sector by providing hands-on instructions for developing trading models from scratch using Python. It covers the creation and backtesting of trading algorithms based on machine learning and reinforcement learning, blending technical and quantitative analyses to offer innovative strategies for financial trading.

The guide delves into various aspects of data science, including a full introduction to technical analysis, evaluation of machine learning algorithms, and optimization of algorithms. Readers will learn to understand and create machine learning and deep learning models, explore reinforcement learning applications in time series, interpret performance evaluation metrics, and develop technical indicators in Python.

By bridging the gap between complex deep learning methodologies and practical financial applications, the book serves as a valuable resource for professionals and academics in finance, data scientists, quantitative traders, and students seeking to enhance their understanding of machine learning in trading¹.