Category blog

{Life Science} meets IT Hackathon, or how we built a wearable device in a weekend

Last weekend I got the chance to participate to the {Life Science} meets IT Hackathon, and it was really great! I met so many interesting people, been advised from awesome...

Hello, World!

Hello everyone!

Category math

On Differentiable Neural Architecture Search, DARTS, and Auto-Deeplab

I recently stumbled across a very interesting paper (thanks a lot, Noam!) titled “Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation”, by C. Liu et al.; the authors were...

A Game of Throws

I recently had the chance to mentor a high school student who was doing an internship at the Max Planck institute for Nuclear Physics. Since every project related to my...

Category statistics

Deep Learning, Heteroscedasticity, and TensorFlow Probability

It is very often the case that Machine Learning models calculate point estimates of quantities of interest; a typical example would be: given the number of rooms, size, and location...

Bayesian Inference, Science, and the Paranormal

Fun fact: Bayes’ Theorem, arguably one of the most important theorems in statistics, was discovered by Reverend Thomas Bayes, a Presbyterian minister/mathematician/theologian, and it was published posthumously thanks to Richard...

Time Series Nested Cross-Validation with scikit-learn

In this short post, I will show how to perform nested cross-validation on time series data with the scikit-learn function TimeSeriesSplit; this function by default just splits the data into...

A Game of Throws

I recently had the chance to mentor a high school student who was doing an internship at the Max Planck institute for Nuclear Physics. Since every project related to my...

Category machine learning

Deep Learning, Heteroscedasticity, and TensorFlow Probability

It is very often the case that Machine Learning models calculate point estimates of quantities of interest; a typical example would be: given the number of rooms, size, and location...

Time Series Nested Cross-Validation with scikit-learn

In this short post, I will show how to perform nested cross-validation on time series data with the scikit-learn function TimeSeriesSplit; this function by default just splits the data into...

Category philosophy

Bayesian Inference, Science, and the Paranormal

Fun fact: Bayes’ Theorem, arguably one of the most important theorems in statistics, was discovered by Reverend Thomas Bayes, a Presbyterian minister/mathematician/theologian, and it was published posthumously thanks to Richard...

Category IoT

{Life Science} meets IT Hackathon, or how we built a wearable device in a weekend

Last weekend I got the chance to participate to the {Life Science} meets IT Hackathon, and it was really great! I met so many interesting people, been advised from awesome...

Category TensorFlow

Deep Learning, Heteroscedasticity, and TensorFlow Probability

It is very often the case that Machine Learning models calculate point estimates of quantities of interest; a typical example would be: given the number of rooms, size, and location...

Category deep learning

On Differentiable Neural Architecture Search, DARTS, and Auto-Deeplab

I recently stumbled across a very interesting paper (thanks a lot, Noam!) titled “Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation”, by C. Liu et al.; the authors were...