Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications
Department of Finance, Performance and  Marketing eesside University International Business School, Teesside University
Middlesbrough, UK

Textbook:Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications
Author(s): Mohammad Zoynul Abedin

Description:
This cursebook presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study.

This course covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice.