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
