Wood Durability and Alpine Constructions

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Page 3 of 4

Covers concentration inequalities and sampling methods for estimating unknown distributions, with a focus on population infection rates.

Generalization Bound

Explores the relationship between empirical risk minimization and generalization error in machine learning.

Why Should We Avoid Using Stereotypes?

Discusses the distortion of reality caused by stereotypes and the importance of avoiding their use.

Advanced Counting: Exercise 11

Covers the advanced counting topic of distinct n-duples of integers.

Supervised Learning with kNN: Regression Model

Covers a simple mathematical model for supervised learning with k-nearest neighbors in regression.

Convergence of Random Variables

Explores the convergence of random variables, the law of large numbers, and the distribution of failure time.

Avoiding Stereotypes: Understanding Bias and Perception

Delves into the distortion caused by stereotypes and their partial truth.

Decentralized Storage & Distribution: BitTorrent & IPFS

Explores decentralized storage & distribution using BitTorrent & IPFS, covering goals, challenges, building specifications, integrity, bootstrapping, performance, incentives, versioning, naming, and CRDTs.

Distribution Estimation

Covers the estimation of distributions using various methods such as minimum loss and expectation.

Mixture models: individual level parameters

Explores mixture models and individual-level parameters in discrete choice scenarios, covering distribution, Bayes theorem, and expected values.