Predictive modelling

Related lectures (32)

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Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Explores machine learning-guided treatment discovery and planning in personalized medicine using high-throughput data and neural optimal transport.

Explores machine learning for predicting new product life cycles and the challenges of limited historical data.

Showcases a project predicting Bitcoin's price using Twitter and ML, achieving 60% accuracy.

Explores invariance, causality, and robustness in data analysis, addressing challenges and implications for distribution generalization.

Explores dimensional analysis of large explosions using tabulated values to predict explosive behavior.

Explores quantifying algorithm learning, empirical risk minimization, inductive bias, and hypothesis spaces.

Explores feedback and adaptation in visual intelligence, enhancing machine performance in dynamic environments.