Course Aims & Objectives
Artificial Intelligence (AI) and Machine Learning (ML) increasingly encroach on every corner of our lives. The course will help participants understand how AI differs from ML, in particular, how ML is disrupting the landscape of business and finance. Course participants are expected to develop the confidence and the skills needed to define problems in business and finance, and to tackle them using Python ML toolkits.
Desired Outcomes: on successful completion, participants should be able to:
- Understand the difference between AI and ML.
- Familiarize themselves with ML Models.
- Understand and appreciate the impact of ML, particularly in financial markets.
- Understand the basics of preparing and working with data for ML applications.
- Discover how the Python toolkit can be used in ML.
- Build an ML model using Python.
Course Prerequisites
Although some preliminary Basic Python and financial knowledge is preferable, it is not a must. All participants are required to have Python already installed on their machines and Jupyter Notebook as a working environment; a link will be provided prior to the course.
For more information please visit the course website
Golcer Research Unit 