Exploration Bias

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Related lectures (32)

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Software Security: Execution Attacks and Defenses

Covers code injection and control-flow hijack attacks, and defenses like Data Execution Prevention and Stack Canaries.

Observational Studies: Pitfalls and Solutions

Covers the pitfalls of observational studies, solutions to avoid biases, and the importance of valid conclusions from 'found data'.

Observational Studies: Pitfalls and Solutions

Explores observational studies, pitfalls, solutions, and the importance of valid conclusions in research projects.

Epidemiological Parameters Inference from Clinical Data

Explores the challenges of inferring epidemiological parameters from clinical data, focusing on COVID-19 and the complexities of estimating infection fatality ratios.

Randomness in Social Self-Organization

Discusses randomness in social self-organization, exploring its role in democratic processes and the challenges of representation and accuracy.

Backpropagation and Neural Networks

Covers the backpropagation algorithm for training neural networks and the representation of functions in multilayer networks.

Privacy-Preserving Data Mining

Explores privacy-preserving data mining techniques, including k-anonymity, attacks, and differential privacy.

Shor Algorithm: Circuit Details II

Explores the Shor algorithm circuit details for efficient number factoring using quantum computing.

ExVR Workshop: Introduction and Showcase

Introduces ExVR, a software for creating and executing 3D/2D experiments using VR or not, and showcases various tasks.

Distributed Randomness: Drand

Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.