Introduction
Machine learning is expected to have a critical impact on the accounting discipline. Current and future accountants must keep abreast themselves with this technology. Accountants must be able to harness the potential of machine learning to leverage on accounting data and solve accounting problems.
This course, Applied Machine Learning for Accountants, starts off with machine learning concepts, introduces machine learning algorithms (models) and their applications in accounting domains. The course covers common machine learning algorithms such as regression, classification, clustering, and text analysis. Participants will have hands-on experience using Microsoft Azure Machine Learning Studio to apply proper machine learning models on the accounting domain.
Programme Objective
The objective of this course is to help participants to understand machine learning algorithms (i.e., regression, classification, clustering, and text analysis) and how these algorithms can be applied in the accounting domain. Once participants fully understood the concepts, the course will guide participants to apply the concept using Machine Learning application.
Programme Outline
- Machine Learning Concept
- Machine Learning Algorithm - Regression
- Machine Learning Algorithm - Classification
- Machine Learning Algorithm - Clustering
- Machine Learning Algorithm – Text Analysis
- Hands-on Machine Learning with Microsoft Azure Studio ML
Training Methodology
Lecture style and workshop. Instructor will guide participants through case studies and hands-on experiences.
Closing Date for Registration
1 week before programme or until full enrolment.
Intended For
Accountants, auditors and other business professionals who need to know more about machine learning workflow and applications and learn how to harness the potential of machine learning to manage voluminous accounting data and solve accounting problems.
Schedule & Fees
Testimonial
Funding
No funding Available!
Programme Facilitator(s)
Introduction
Machine learning is expected to have a critical impact on the accounting discipline. Current and future accountants must keep abreast themselves with this technology. Accountants must be able to harness the potential of machine learning to leverage on accounting data and solve accounting problems.
This course, Applied Machine Learning for Accountants, starts off with machine learning concepts, introduces machine learning algorithms (models) and their applications in accounting domains. The course covers common machine learning algorithms such as regression, classification, clustering, and text analysis. Participants will have hands-on experience using Microsoft Azure Machine Learning Studio to apply proper machine learning models on the accounting domain.
Programme Objective
The objective of this course is to help participants to understand machine learning algorithms (i.e., regression, classification, clustering, and text analysis) and how these algorithms can be applied in the accounting domain. Once participants fully understood the concepts, the course will guide participants to apply the concept using Machine Learning application.
Programme Outline
- Machine Learning Concept
- Machine Learning Algorithm - Regression
- Machine Learning Algorithm - Classification
- Machine Learning Algorithm - Clustering
- Machine Learning Algorithm – Text Analysis
- Hands-on Machine Learning with Microsoft Azure Studio ML
Training Methodology
Lecture style and workshop. Instructor will guide participants through case studies and hands-on experiences.
Closing Date for Registration
1 week before programme or until full enrolment.
Intended For
Accountants, auditors and other business professionals who need to know more about machine learning workflow and applications and learn how to harness the potential of machine learning to manage voluminous accounting data and solve accounting problems.
Programme Facilitator(s)
