Advances in Financial Machine Learning (Chapter 1)

ArXiv ID: ssrn-3104847 “View on arXiv”

Authors: Unknown

Abstract

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform

Keywords: machine learning, deep learning, algorithmic trading, predictive modeling, Financial Technology

Complexity vs Empirical Score

• Math Complexity: 2.0/10
• Empirical Rigor: 7.0/10
• Quadrant: Street Traders
• Why: The excerpt focuses on practical implementation and real-world data challenges in finance with an empirical approach, but does not present dense mathematical derivations or advanced formulas.

  flowchart TD
    A["Research Goal:<br>Application of ML in Finance"] --> B["Key Methodology:<br>Algorithmic Trading &<br>Predictive Modeling"]
    B --> C["Computational Process:<br>Deep Learning &<br>ML Algorithms"]
    C --> D["Data Input:<br>Financial Market Data"]
    D --> C
    C --> E["Key Findings:<br>ML replacing expert human tasks<br>in FinTech & Finance"]