Machine Learning, Deep Learning and Applications in Finance
About This Course
FIN525 Machine Learning, Deep Learning and Applications in Finance aims to equip the students with model constructing and programming skills so that they can have a good understanding of the trending machine learning (ML) and deep learning (DL) techniques used in the financial industries. It introduces the concepts as well as fundamentals of classic algorithms and models in machine learning and deep learning. During the course, various financial data types and applications will be covered. It will help the students learn different machine learning and deep learning approaches in the financial context and gain experience applying the models to different financial data types and applications through multiple hands-on demonstrations and exercises using Python.
What You'll Learn
2 Appraise the importance and application scenarios of ML and DL frameworks
3 Design ML and DL models to tackle financial issues and analyse model performance
4 Construct and implement deep learning and machine learning models in different financial practices
5 Compose sentiment analysis on textual data
6 Develop the programming skills used to model ML and DL applications in finance
Entry Requirements
Bachelor Degree