Module 3 - Supervised Machine Learning for Building and Deploying Models
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2023021236
S$720
Original: S$2,400
Save S$1,680
About This Course
This module focuses on the foundational and advanced aspects of supervised machine learning, equipping participants with the skills to build, evaluate, and deploy predictive models. Participants will explore core algorithms, such as linear regression, decision trees, and ensemble methods, and learn how to apply them to real-world datasets. The module also introduces model evaluation techniques to ensure reliability and accuracy and provides hands-on experience in deploying models using modern tools and platforms. By the end of this module, participants will be proficient in building and operationalising machine learning models for diverse business applications.
What You'll Learn
In this 2-day course, participants will learn:
• Understand the concepts and workflows of supervised machine learning.
• Implement core supervised learning algorithms, including regression, classification, and ensemble methods.
• Evaluate model performance using common evaluation metrics.
• Optimise hyperparameters to improve model performance.
• Deploy machine learning models in production environments using practical tools and techniques.
• Understand the concepts and workflows of supervised machine learning.
• Implement core supervised learning algorithms, including regression, classification, and ensemble methods.
• Evaluate model performance using common evaluation metrics.
• Optimise hyperparameters to improve model performance.
• Deploy machine learning models in production environments using practical tools and techniques.
Entry Requirements
Nil
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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