THIRD SEMESTERcoretheorySem 3
AI FOR FINANCE
CSS 3102
Syllabus
- 01Artificial Intelligence
- 02Superintelligence
- 03Normative Finance
- 04Data-Driven Finance
- 05Machine Learning
- 06Deep Neural Network
- 07Recurrent Neural Networks
- 08Reinforcement Learning
References
- Yves Hilpisch, Artificial Intelligence in Finance, O'Reilly Media, 2020
- Marcos López de Prado, Advances in Financial Machine Learning, Wiley, 2018
- Marcos López de Prado, Machine Learning for Asset Managers, Cambridge University Press, 2020
- Ernest P. Chan, Quantitative Trading: How to Build Your Own Algorithmic Trading Business (2nd Edition), Wiley, 2017
- Yves Hilpisch, Python for Finance: Mastering Data-Driven Finance (2nd Edition), O'Reilly Media, 2018
- Stefan Jansen, Hands-On Machine Learning for Algorithmic Trading (2nd Edition), Packt Publishing, 2020
- Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov, Financial Signal Processing and Machine Learning, Wiley, 2016
Credits Structure
3Lecture
0Tutorial
0Practical
3Total