About this course
The course DBM180 explores the cutting-edge capabilities of machine learning and artificial intelligence for designing innovative systems and experiences. Students will gain a deep understanding of classical ML algorithms and techniques, including supervised, unsupervised learning, and more. They will learn how to apply these powerful methods to tackle complex real-world problems and create AI-powered designs that provide unique value propositions. Specifically, students will employ these methods to design prototypes for solving real-world problems, such as a system to classify products, and analyze movie reviews. The projects will showcase how to harness AI to gain value from diverse data sources. With these hands-on projects and exposure to powerful ML software frameworks (such as Weka), students will gain the knowledge and skills required to push the forefront of AI-powered design. It includes the following:
- A generic architecture for designing intelligent systems comprising data repository, predictive engine, and managing potential feedback loops
- Apply architectural blueprint to design systems (digital or physical) providing predictive response
- Predictive engine uses data to predict optimal system responses to provide optimized experience, help automating workflow, or useful information to the human user
- Collect and store user feedback to further fine-tune and improve the model
- Successful prototypes could lead to further research or publications
Learning outcomes
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Describe key machine learning algorithms and their implementation
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Conceptualize a phenomenon as a learning problem and identify relevant data
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Recognize core components of ML-enabled systems including outcomes, data, and user experience
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Describe data collection strategies or recognize potential data sources for ML system including training, validation and test data acquisition
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Implement conceived machine learning-powered systems for a given context and problem.
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Distinguish key evaluation metrics to benchmark model performance in a given context
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Develop concepts focused on user experience and prototype its key components in groups or individually culminating in a capstone project
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Reflect individually on learning goals and group contributions
Required prior knowledge
You must meet the following requirements