Overview
Machine learning is a branch of Artificial Intelligence which makes use of sample data known as training data to build a model for making predictions or decisions without being explicitly programmed to do so. It has been applied in many applications such as email filtering, text analysis, sales forecasting, digital marketing, computer vision, healthcare, etc. where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. In this course, participants will learn the fundamental concepts of Machine Learning. These include Supervised and Unsupervised Learning methods such as Linear Regression, Logistics Regression, Support Vector Machines, K-Nearest Neighbours, K-Means and Hierarchical Clustering. This course teaches how to use Python to create Machine Learning applications.
Course Description & Learning Outcomes
This course aims to:
Provide participants with a strong foundation in advanced analytics methods.
Provide participants with the necessary knowledge to appreciate the proper application of advanced analytics methods in business applications.
Teach participants the use of Python for creating Machine Learning applications.
At the end of the course, participants will be able to:
Understand various machine learning methods for classifying and clustering data.
Use Python to implement Machine Learning methods in business applications.
Schedule
End Date: 13 Nov 2024, Wednesday
Location: 11 Research Link, COM 3, Singapore 119391
Pricing
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Machine Learning (Proficiency level: Beginner)
