توضیحات
Written by Marcos López de Prado, Financial Machine Learning is one of the most influential books on applying machine learning techniques to finance. It provides a detailed explanation of how statistical models, data mining, and predictive algorithms can be used to analyze market behavior.
The book covers essential topics such as feature engineering, backtesting, portfolio optimization, and algorithmic trading. Its main goal is to help financial professionals use data-driven approaches to reduce risk and improve profitability in trading and investment strategies.
نقد و بررسیها
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