Lecture

Understanding Data Models

Related lectures (52)
Vision-Language-Action Models: Training and Applications
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Critical Data Studies: Introduction and Models
Introduces the Critical Data Studies course, covering data models, trust, reproducibility, biases, and ethics.
Data Science Fundamentals
Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
Maximum Likelihood: Inference and Model Comparison
Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.
Google Analytics 4: Understand & set up GA4
Introduces Google Analytics 4 and guides on setting it up for WordPress websites, emphasizing key differences and event tracking.
Urban Metabolism Analysis
Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Scientific Method: Critical Thinking in Science
Covers experimental methods, critical thinking, scientific fraud, and the importance of doubt in science, using various examples to illustrate key concepts.
Digital Humanities Workflow
Explores the workflow in Digital Humanities, emphasizing data collection and visualization.
Human Behavior in Economics
Covers methods in economic research, group projects, scientific method, and challenges in applying research findings.
Water Consumption in Geneva
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.