Thoughts on Rational Inference - Is Information Theoretic Inference Rational?
Exploring rational inference approaches for incomplete information in complex sciences. Discusses defining and implementing rational methods, handling misspecifications, and addressing model uncertainty and robustness.
Fairness, Accountability, and Transparency in Predictive Models for Criminal Justice
Explore fairness, accountability, and transparency in predictive modeling for criminal justice, with examples highlighting their importance in real-world applications.
Statistical Workflow and the Fractal Nature of Scientific Revolutions
Explore AI's role in statistical workflow, focusing on model building, checking, and revision. Discover how automated inference and best practices can enhance quantitative data analysis across various fields.
The Laws of Sensitivity for Small Nonequilibrium Systems
Explore laws constraining sensitivity in small, nonequilibrium systems. Uncover mechanisms behind biochemical switches, sensors, and molecular discrimination, with implications for gene regulation models.
Science in the Time of COVID - Lessons from the Pandemic
Insights from network epidemiologists on COVID-19's impact on scientific research, institutional interactions, and societal norms. Explores surprises, lasting effects, and future implications of the pandemic.
Projects in Time Series Analysis - Chaos Detection with Persistent Homology and Process Monitoring
Explore chaos detection in time series using persistent homology and process monitoring techniques, with applications in complex systems analysis and data-driven decision making.
Loss of Self-Organization in Earth's Climate
Análisis de cambios en la autorregulación del clima terrestre mediante herramientas de sistemas complejos, comparando datos de temperatura global con el modelo Daisyworld.
Modeling Disease Transmission and Interventions - Sam Scarpino Interview
Explore epidemiological modeling, interventions, and complex interactions of biological and behavioral contagions in the context of the Covid-19 pandemic with expert Sam Scarpino.
Trustworthy Network Science - Measuring Instability and Reliability in Data Algorithms
Explore network science methodologies, focusing on measuring instability, data algorithms, embedding methods, and reliability metrics for robust analysis and insights.
Community Detection and Data Topology in Network Science
Exploring network science and mathematical approaches to uncover hidden structures in complex data. Discusses community detection, data topology, and applications in social networks and opinion dynamics.
Crowdsourced Wearable Data and Citizen Science for Public Health Research
Explore the potential of crowdsourced wearable data and citizen science in advancing public health research, uncovering new insights and methodologies for population-level health monitoring.
Towards Collective Artificial Intelligence
Explore the concept of collective AI, its potential impact, and future developments in this thought-provoking talk on emerging technologies and their societal implications.
SARS-CoV-2 Infection Tracing Efficiency in Denmark Before Vaccine Impacts
Explore Denmark's pre-vaccine SARS-CoV-2 infection tracing strategies, analyzing their effectiveness and impact on pandemic control measures.
Bigger Data About Smaller People - Studying Language Learning at Scale
Explore innovative approaches to studying language acquisition in children using large-scale data analysis and computational methods to uncover patterns in early linguistic development.
Tabular Data
Learn machine learning techniques for tabular data, including model evaluation, feature engineering, tree-based models, hyperparameter tuning, and neural networks using AWS SageMaker.
Introduction to Accounting and Finance for Civil Engineers
Learn essential accounting and finance principles for civil engineers, covering economic decision-making, risk analysis, bidding strategies, and financial management in construction projects.
Probability and Statistics
Comprehensive exploration of probability and statistics concepts, covering fundamental principles, algebraic structures, and advanced topics through 79 detailed lectures.
Astrophysics & Cosmology
Explore the wonders of the universe through comprehensive lectures on celestial bodies, cosmic phenomena, and the origins and evolution of our cosmos.
Intro to Machine Learning
Dive into machine learning fundamentals with engaging videos covering models, data exploration, validation, and advanced concepts like random forests and AutoML.
SQL Summer Camp
In this series of videos, Kaggle Data Scientist, Rachael, will walk you through how to use SQL.
Marketing Analytics
Learn R programming and advanced marketing analytics techniques, including consumer behavior, segmentation, pricing, forecasting, and data-driven decision-making for business success.