内容简介

书名:Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
出版社:Oreilly & Associates Inc
作者:Kaabar, Sofien
出版年份:2024
电子书格式: pdf
简介:Master the art of algorithmic trading with “Deep Learning for Finance.” This comprehensive guide, written by Sofien Kaabar and published by O’Reilly, dives deep into building machine and deep learning models for financial markets using Python. Learn to leverage cutting-edge techniques like LSTM networks, reinforcement learning, and more to optimize your trading strategies. From data preprocessing and feature engineering to model deployment and backtesting, this book equips you with the practical skills needed to succeed in quantitative finance. Ideal for data scientists, financial analysts, and anyone seeking to enhance their trading prowess using AI.
ISBN:9781098148393, 10981

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