Business Applications relying on Supervised Learning (Synchronous e-Learning)

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2022016044
S$630
Original: S$2,100
Save S$1,470

About This Course

At the end of this course, learners should be able to:
1. Understand several useful supervised learning techniques, e.g. decision tree, linear regression and neural networks.
2. Apply supervised learning techniques to solve real-life business problems, e.g. fraud detection and regression analysis
3. Identify the business problem, build supervised learning models, compare the model performance and finalise the business solution.

What You'll Learn

This course helps learners understand how to apply supervised learning techniques to business applications. Topics such as different supervised learning techniques, business applications and case studies, build and evaluate the predictive models using real-life business datasets will be covered.

Entry Requirements

Minimum Diploma in IT or related fields

Course Details

Duration 14 hours
Language English
Training Commitment Not specified
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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