Data Governance in Urban Settings

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Supervised Learning: k-NN and Decision Trees

Introduces supervised learning with k-NN and decision trees, covering techniques, examples, and ensemble methods.

Data Quality in Life Cycle Assessment

Explores data quality in Life Cycle Assessment, covering inventory format, control, measurement procedures, uncertainty factors, and the Data Quality Rating system.

Hedonic Pricing Method: Housing and Environmental Goods

Covers the Hedonic Pricing Method for assessing implicit prices of goods and introduces the Contingent Valuation Method for estimating environmental goods' value.

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Image Processing II: Bayesian Classification and Decision Making

Explores Bayesian classification, decision making, and pattern recognition applications in image processing.

Big Data: Challenges and Implications

Explores the challenges and implications of Big Data, emphasizing the importance of data quality and ethical considerations.

Decision Trees: Classification

Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.

Multi-Criteria Analysis: Investment Choice

Covers multi-criteria decision analysis for investment choice and sustainability, including challenges in criteria selection and scoring methods.

Data Annotation: Collection and Biases in NLP

Addresses data collection, annotation processes, and biases in natural language processing.

Optimisation in Energy Systems

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.