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Related lectures (32)

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Overfitting in Supervised Learning: Case Studies and Techniques

Addresses overfitting in supervised learning through polynomial regression case studies and model selection techniques.

Data-driven Modeling of Thermal Stress in Additive Manufacturing

Explores data-driven modeling of thermal stress in additive manufacturing, focusing on reliable temperature profiles and microstructure-dependent properties.

Recovering dynamical properties: Path Integral Methods

Explores deconvolution of GLE spectra to predict and extract dynamical properties from MD.

Machine Learning-Guided Treatment Discovery

Explores personalized medicine, machine learning for treatment prediction, and challenges in traditional algorithms.

Choice Models: Predicting Consumer Behavior

Explores choice models to predict consumer behavior and market shares.

Overfitting: Symptoms and Characteristics

Explores overfitting in polynomial regression, emphasizing the importance of generalization in machine learning and statistics.

Engineering in the Age of AI: Innovations and Challenges

Examines the transformative impact of AI on engineering disciplines and the associated challenges.

Graph Mining: Social Networks and Data Analysis

Explores graph mining in social networks, covering data analysis and community detection.

Tensorial Properties in Scientific Machine Learning

Delves into predicting non-scalar properties beyond energies in scientific machine learning, focusing on dipole moments, polarizability, and dielectric response.

Linear Regression & Correlation

Covers linear regression, correlation analysis, and logistic regression fundamentals, emphasizing the distinction between correlation and causation.