Tom Shlomo’s Blog - All posts

Teaching Rust to Python Developers

Over the last two years, I have developed a strong interest in Rust.
While my day-to-day work primarily involves Python, I have been exploring ways to leverage Rust in our…

The sparse approximation algorithm no one talks about

A somewhat unique introduction to greedy algorithms for the sparse approximation problem, and proposing an obvious algorithm that seems to be overlooked.

Efficient leave one out cross validation - part 2

The non quadratic case

Efficient leave one out cross validation - part 1

The derivation and implementation of a method for leave one out cross validation with neglible extra runtime compared to fitting alone.

MUSIC as a sparse decomposition method

A unique introduction to the MUSIC algorithm, as a general method to solve the multisnapshot sparse decomposition problem.

A practical interpertation of the Pearson correlation coefficient

\(\rho=1\) means perfect positive correlation, \(\rho=-1\) means perfect negative correlation, \(\rho=0\) means no correlation. But what does \(\rho=0.72\) mean?

Augmentation is Regularization

On the equivalence of training data augmentation and quadratic regularization for linear models - a very useful (but not well known) result.