# Alessandro Angioi

My personal site/blog. Mainly about science, technology, and coding.

## Category blog

#### During my time as a Data Scientist, I had the chance to interview my fair share of candidates for data-related roles. While doing this, I started noticing a pattern: some...

#### 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 math

#### Graphs are awesome, hypergraphs are hyperawesome! Hypergraphs are a generalization of graphs where one relaxes the requirement for edges to connect just two nodes and allows instead edges to connect...

####
“In a hierarchy every employee tends to rise to his level of incompetence”
– Dr. Laurence J. Peter

#### The ability to see common patterns and analogies, to conjecture universal laws starting from the particular things we can experience, is a powerful tool, which arguably is one of the...

#### 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...

#### 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

#### The ability to see common patterns and analogies, to conjecture universal laws starting from the particular things we can experience, is a powerful tool, which arguably is one of the...

#### During my time as a Data Scientist, I had the chance to interview my fair share of candidates for data-related roles. While doing this, I started noticing a pattern: some...

#### 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...

#### 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...

#### 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...

#### 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

#### In this post, I want to showcase how simple it has become to perform transfer learning with the help of modern libraries. I will use TensorFlow, but the situation looks...

#### In this post I want to illustrate a problem I have been thinking about in time series forecasting, while simultaneously showing how to properly use some Tensorflow features which greatly...

#### 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...

#### 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

#### 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

#### 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

#### 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

#### In this post, I want to showcase how simple it has become to perform transfer learning with the help of modern libraries. I will use TensorFlow, but the situation looks...

#### In this post I want to illustrate a problem I have been thinking about in time series forecasting, while simultaneously showing how to properly use some Tensorflow features which greatly...

#### 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...

## Category business

####
“In a hierarchy every employee tends to rise to his level of incompetence”
– Dr. Laurence J. Peter