Reading Group: Machine Learning for Asset Managers

Exploring the Intersection of Artificial Intelligence and Financial Markets

Created by: Hudson and Thames Quantitative Research
Developing sophisticated algorithms for quant traders.

What Will I Learn?

• Master Core Machine Learning Concepts and Techniques in Finance
• Assess Cutting-Edge Research to Solve Real-World Financial Problems
• Develop insights into Advanced Portfolio Construction
• Understand Risk Management Techniques Using ML

Requirements

• A background in calculus, finance or statistics

Target audience

• Beginners with a background in calculus, finance or statistics
• Professionals with a background in Machine Learning or finance
• Professionals who are eager to stay at the forefront of the finance industry by examining cutting-edge research
• Individuals in academic settings or conducting research who are interested in the latest methodologies, theories, and empirical studies related to ML in finance