Machine Learning
Training Provider: SINGAPORE UNIVERSITY OF SOCIAL SCIENCES
Course Reference: TGS-2026061710
S$792
Original: S$2,640
Save S$1,848
About This Course
This course introduces key Artificial Intelligence (AI) and Machine Learning (ML) concepts including supervised and unsupervised learning, core algorithms, performance evaluation, and model optimisation. The course also covers about neural networks, big data processes, and practical model deployment, preparing them to build and apply effective AI/ML solutions.
What You'll Learn
1. Analyse the effectiveness of dimensionality reduction techniques such as prinicpal component analysis (PCA) and clustering in improving model performance.
2. Evaluate various supervised and unsupervised learning algorithms for their suitability in solving complex data problems.
3. Critique model performance using relevant metrics and apply hyperparameter tuning to optimise results.
4. Design machine learning models including regression, decision trees, support vector machine (SVM), and neural networks using appropriate datasets.
5. Prepare scalable AI/ML solutions incorporating big data processing frameworks.
6. Set up machine learning models in real-world environments, ensuring reliability and efficiency.
2. Evaluate various supervised and unsupervised learning algorithms for their suitability in solving complex data problems.
3. Critique model performance using relevant metrics and apply hyperparameter tuning to optimise results.
4. Design machine learning models including regression, decision trees, support vector machine (SVM), and neural networks using appropriate datasets.
5. Prepare scalable AI/ML solutions incorporating big data processing frameworks.
6. Set up machine learning models in real-world environments, ensuring reliability and efficiency.
Entry Requirements
undergraduate degree or an equivalent qualification
Course Details
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