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
SWISH: Split Where Information Should Happen
Graph Chatbot
Related lectures (32)
Generalization Error
Explores generalization error in machine learning, focusing on data distribution and hypothesis impact.
FlowField Data Distribution
Covers the distribution of data in the FlowField class, focusing on gridpoint calculations and MPI usage.
SmartDataLake: Distributed Analytics over Heterogeneous Data
Discusses challenges in scalable analytics over heterogeneous Big Data and introduces SmartDataLake for efficient handling of raw data.
Statistics: Exploratory Data Analysis
Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.
Quantitative Risk Management: Copulas and Generative Adversarial Networks
Explores copulas, simulation algorithms, fitting data with rank correlations, and GANs for image generation.
Surprise, Curiosity and Reward: An Evolutionary Perspective
Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.
Self-Organization: Challenges and Applications
Explores the benefits, challenges, and applications of self-organization in various fields.
Distributed Query Processing: Execution Models and Declustering Tradeoffs
Covers analytical query processing, declustering strategies, and distributed operations.
Extreme Value Theory: GEV and GPD
Covers Extreme Value Theory, focusing on GEV and GPD distributions and the POT Model for threshold exceedances.
Social Influence and Choice
Explores social influence, democracy, individual autonomy, equality, and decision-making models.
Model Specification: The Error Term
Delves into the binary choice model, error term specification, and Extreme Value distribution properties.
Extreme Value Theory: Limiting Distributions and Applications
Covers Extreme Value Theory, GEV distributions, GPD, and threshold exceedances.
Integrated Risk Management in Civil Engineering
Explores integrated risk management in civil engineering, including government policies, decision-making processes, and a controversial case study on risk analysis.
Foundations of ICT: Decision Makers
Introduces the Foundations of ICT course, emphasizing the importance of understanding hidden costs.
Skyfall: Excerpt 1
Explores the tension of making quick decisions under pressure.
Assessing environmental goods and external costs: Road Safety
Explores the value of statistical life in road safety and environmental assessments.
Binary Choice Model
Covers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.
Risk Governance Framework: Decision-making and Management
Discusses risk governance, decision-making, stakeholder engagement, and risk assessment.
Gaussian Noise: Decision Making
Covers Gaussian noise and decision-making in communication systems, emphasizing the importance of understanding Gaussian noise in signal processing.
Agile Focus Strategy: Design and Implementation
Presents the Market Opportunity Navigator for designing an agile focus strategy and addresses common questions on market selection.
Previous
Page 1 of 2
Next