Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Causal Reasoning in Healthcare: ML Guidelines & Dataset Shifts
Graph Chatbot
Related lectures (31)
Previous
Page 3 of 4
Next
Concept of Proof in Mathematics
Delves into the concept of proof in mathematics, emphasizing the importance of evidence and logical reasoning.
Statistical Analysis of Networks: Link Prediction and Biclustering
Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.
Disentangling Confounding and Nonsense Associations
Explores statistical dependence, confounding, and causal inference methods, emphasizing the distinction between existing and new approaches.
Statistical Inference for Bandit Data
Explores statistical inference for bandit data, focusing on personalized treatment actions and challenges of standard estimators.
Optimization and Simulation: Introduction to Simulation
Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Cognition, Language & Emotions
Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.
Maximum Likelihood Estimation: Density Estimation and Bernoulli Model
Explores maximum likelihood estimation for density and Bernoulli model, including test reliability and disease screening.
Basic MR Contrasts
Covers the generation of basic MRI contrasts and principles behind T₁-weighted MRI in medical imaging.
Model Selection and Local Geometry
Explores model selection challenges in causal models and the impact of local geometry on statistical inference.
Electrochemistry: Definitions and Concentration Stack
Explores electrochemical definitions and concentration stack, focusing on reduction, electrodes, and battery equilibrium.