Mechanistic interpretability: how AI constructs and reveals its internal models
Understand mechanistic interpretability, conceptual spaces, and techniques to open the black box of AI models and LLMs.
Statistic
What are the axioms of probability? Full explanation.
Understand Kolmogorov's axioms of probability, their properties, and practical examples in a clear and comprehensive explanation.
How to find clusters in a line diagram
Learn how to read dendrograms, define K, and choose distances to find clusters with robust techniques and practical examples.
Tipi di mathematical relationships due to variability: theory, test and applications
Scopri comes to analyze the relationship between variables: Pearson, Spearman, Kendall, chi-quadro, Kappa and parziale correlation. Example and code R.
Perché gli scienziati timediato gli experimenti? Replication, method and fiducia
Scope perché la scienza ripete experimenti, casa causa i fallimenti y como increare la replicabilità con metodi chiari e dati aperti.
Misure and uncertainty in science: theory, practice and norm
It's the uncertainty of the mixture, as it is calculated and perché counts. Esempi, norme (GUM, ISO/IEC 17025) and good practice for affidabili results.
The mathematical regulation of the Settecento tra Bayes, quanti e proportional
Give Lumi to quantistical physics: Bayes, map of Petz and control of three spiegati with examples and protagonists. Scopri come change the calcolo.
