Machine Learning

About

A practical workshop to gain an understanding of the basics of Machine Learning and Textual Analysis in Accounting and Finance with an application using Natural Language Processing (NLP). The course covers both theory and practical workshop sessions. The course does not require prior programming knowledge and does not use or teach programming.

Course leader

Mohan Subbiah & Paulo Alves

Target group

Financial and Accounting Professionals and those interested in applying NLP to financial model building.
The course does not require prior programming knowledge and avoids programming while still allowing participants to both gain an understanding of the techniques and offer practical workshop sessions to apply the knowledge learnt.

Course aim

The course is structured in 5 practical sessions where students will learn using a combination of teaching sessions and practical exercises. The focus will be on learning through experience in which participants will have a set of tasks to complete The tasks use the Weka software, and demonstrate how to apply the machine learning and natural language processing techniques taught to enhance the efficacy of investment models.
Day 1: An Introduction to Machine Learning
Day 2: An Introduction to Natural Language Processing
Day 3 to 5: Practical applications of ML and NLP.

Fee info