Machine Learning and AI for FinTech
Training Provider: Singapore University of Social Sciences
Course Reference: TGS-2024047351
S$1,461
About This Course
Distinguish between supervised machine learning (ML), unsupervised ML, deep learning and artificial intelligence.
Design and implement supervised ML algorithms to apply to financial datasets.
Examine and interpret ML models’ outputs and translate outputs into appropriate business decisions in financial settings.
Operate with high-dimensional financial datasets.
Formulate business requirements in Python code for automation.
Use suitable Python packages to build ML models for prediction or classification tasks.
What You'll Learn
FIN313 Machine Learning and AI for FinTech builds on the foundation from FIN312 to give an introduction to machine learning techniques in the handling of large datasets – the basis of AI. Students will learn fundamental concepts from the field, including supervised/unsupervised learning, bias-variance tradeoff, principal component analysis and neural networks. The course is peppered with examples of learning of datasets from finance. Students will be equipped with the understanding of how AI is applied in finance and the skill to implement machine learning algorithms to extract key features from financial datasets.
Course Details
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