Entropy, data and Machine Learning
The concept of entropy and how can it be useful in a classification problem.
The concept of entropy and how can it be useful in a classification problem.
A quick overview of what they are and what they describe.
Helping others outside the data team to use data is a valuable thing to do, as a data scientist
What is the best way to perform a technical interview for a data science position?
And how to avoid them
Or how the data science advocacy unfolds
A list of easy command line commands to facilitate data work
Data Science has been around for a while now, but how has it evolved in time? Notes from a debate.
PyDataEdinburgh, the first birthday
The evolving field of data science, from the trench, and what is the sense of it all
Getting into #SoDS
Studying the Heaps’ law in different languages from NLTK Corpora
Data visualisation sui dati del treno Roma-Tivoli e viceversa
Passing long lists of texts to categorise
Playing with maths with Jupyter interactivity.
Python’s antigravity package explored
PyDataEdinburgh, the first birthday
Stopwords in English and finding them in NLP libraries
Installing OpenCV3 with Python3 bindings on macOS, the ultimate guide
Learning to make the most of Jupyter notebooks
How to plot the real frequency of occurrence of text with NLTK
Python for querying a DynamoDB in AWS with boto3
Using Python for querying Elasticsearch
Exploring the difference between class and instance attributes in Python
Some basics on how to use matplotlib for plotting data
Digging into this foundational piece of machinery
Some quick notes - it’s a tool, not a oracle
How far apart these languages are, in data.
The Heaps’ law in different languages from Wikipedia text data
Studying the Heaps’ law in different languages from NLTK Corpora
Data visualisation sulle parole usate dai presidenti della Repubblica nei discorsi di fine anno, continuazione su parole specifiche
Data visualisation sulle parole usate dai presidenti della Repubblica nei discorsi di fine anno
Un po’ di spirito sulle parole più usate a Natale
Data visualisation over the text of my PhD thesis on language evolution
Helping others outside the data team to use data is a valuable thing to do, as a data scientist
What is the best way to perform a technical interview for a data science position?
And how to avoid them
Or how the data science advocacy unfolds
Data Science has been around for a while now, but how has it evolved in time? Notes from a debate.
The evolving field of data science, from the trench, and what is the sense of it all
Getting into #SoDS
How not to use machine learning: to make recipes
Make your terminal beautiful and efficient with Oh My ZSH!
Learning to make the most of Jupyter notebooks
How to plot the real frequency of occurrence of text with NLTK
Python for querying a DynamoDB in AWS with boto3
Using Python for querying Elasticsearch
Exploring the difference between class and instance attributes in Python
Some basics on how to use matplotlib for plotting data
Digging into this foundational piece of machinery
Passing long lists of texts to categorise
Looking at the differences between predicted and effective realisation
Looking at the differences between predicted and effective realisation
A follow-up from the previous card
Looking at Italian recipes with a data lens.
Much more variety than you may know of.
Going with Dickens on a tour of Italy, a data card.
Reflecting on the history of technology company Olivetti and what it can still mean today.
Da autodidatta, costruire due band e arrangiare brani
Data visualisation sulle parole usate dai presidenti della Repubblica nei discorsi di fine anno, continuazione su parole specifiche
Data visualisation sulle parole usate dai presidenti della Repubblica nei discorsi di fine anno
Recensione de ‘Storia di una ladra di libri’
Un po’ di spirito sulle parole più usate a Natale
Data visualisation sui dati del treno Roma-Tivoli e viceversa
A review of the book “L’anello di re Salomone” (Italian)
Building the landscape of viral families and species in a data viz
Several of the candidates under work for a COVID-19 vaccine use methods and technologies which are novel and not used yet in existing vaccines.
Looking at the volume of candidate vaccines against COVID-19 and their progress in pre-clinical and clinical phases, in time
Scientific publishing is broken and academia is doing very little to fix it
My first week of work in the industry after transitioning from academia
Data visualisation over the text of my PhD thesis on language evolution
My path through science and crossing disciplines boundaries
Going with Dickens on a tour of Italy, a data card.
Stopwords in English and finding them in NLP libraries
The Heaps’ law in different languages from Wikipedia text data
Studying the Heaps’ law in different languages from NLTK Corpora
How to plot the real frequency of occurrence of text with NLTK
Data visualisation sulle parole usate dai presidenti della Repubblica nei discorsi di fine anno, continuazione su parole specifiche
Data visualisation sulle parole usate dai presidenti della Repubblica nei discorsi di fine anno
Inspired by Derek Siver’s suggestion on keeping a “now page” updated, I have decided I will do one a month. The now page will stay in the navigation above an...
This is the page, updated once a month, where I list what I’m currently up to. This idea has been largely inspired by Derek Sivers and I decided to do a new ...
Inspired by Derek Siver’s suggestion on keeping a “now page” updated, I have decided I will do one a month. The now page will stay in the navigation above an...
Inspired by Derek Siver’s suggestion on keeping a “now page” updated, I have decided I will do one a month. The now page will stay in the navigation above an...
Inspired by Derek Siver’s suggestion on keeping a “now page” updated, I have decided I will do one a month. The now page will stay in the navigation above an...
Inspired by Derek Siver’s suggestion on keeping a “now page” updated, I have decided I will do one a month. The now page will stay in the navigation above an...
Inspired by Derek Siver’s suggestion on keeping a “now page” updated, I have decided I will do one a month. The now page will stay in the navigation above an...
A follow-up from the previous card
Looking at Italian recipes with a data lens.
Who has more stars, and what about the type of cuisine?
Much more variety than you may know of.
A lipidic data journey.
A lot of sugar and a data story.
Simple counts on my list of reads - July 2023
What did James Bond drink, in data.
Going with Dickens on a tour of Italy, a data card.
Recensione de ‘Storia di una ladra di libri’
A review of the movie Anna Karenina
How far apart these languages are, in data.
Stopwords in English and finding them in NLP libraries
The Heaps’ law in different languages from Wikipedia text data
Studying the Heaps’ law in different languages from NLTK Corpora
Data visualisation over the text of my PhD thesis on language evolution
Looking at truth tables via the McCulloch-Pitts unit
Creating files for training object detection models in TensorFlow
Looking at YOLO and Darknet as neural network frameworks for object detection
Digging into this foundational piece of machinery
How not to use machine learning: to make recipes
Strauss galore, but there’s some more
This time, looking at musical careers
The most popular 80s tracks from Spotify, in data
Exploring the favourite keys used by composers of the Classical era, in data.
Da autodidatta, costruire due band e arrangiare brani
A classic of the year-end, reviewing what’s done
Recensione de ‘Storia di una ladra di libri’
A review of the book “L’anello di re Salomone” (Italian)
A review of the movie Anna Karenina
Building the landscape of viral families and species in a data viz
Several of the candidates under work for a COVID-19 vaccine use methods and technologies which are novel and not used yet in existing vaccines.
Looking at the volume of candidate vaccines against COVID-19 and their progress in pre-clinical and clinical phases, in time
My path through science and crossing disciplines boundaries
A walkthrough example of gathering data and preparing it ahead of analysis and display, with detailed steps.
A walkthrough example of gathering data and preparing it ahead of analysis and display, with detailed steps.
Spreadsheets don’t enjoy much of a good reputation in the data science circles. But I’d argue they’re a great tool and deserve more respect.
In a Google Sheet, count the number of times a term appears in rows where one column has a comma-separated list
Helping others outside the data team to use data is a valuable thing to do, as a data scientist
What is the best way to perform a technical interview for a data science position?
And how to avoid them
Or how the data science advocacy unfolds
Passing long lists of texts to categorise
Looking at the differences between predicted and effective realisation
Looking at the differences between predicted and effective realisation
The 8th of March and where we’re at, some data.
What did James Bond drink, in data.
Recensione de ‘Storia di una ladra di libri’
A review of the book “L’anello di re Salomone” (Italian)
My first week of work in the industry after transitioning from academia
Data visualisation over the text of my PhD thesis on language evolution
My path through science and crossing disciplines boundaries
The 8th of March and where we’re at, some data.
The evolving field of data science, from the trench, and what is the sense of it all
My first week of work in the industry after transitioning from academia
Some quick notes - it’s a tool, not a oracle
Getting into #SoDS
Everyone grows and learns in time, no matter the age
The world records in freestyle swimming, for men and women, a data card.
Running is an amazing activity for body and mind. It is hard work, but it feels so good. I started running more and more lately and have progressed quite well.
How I started running from the absolute zero
Exploring some ways to make better use of bar charts in data viz
Following a path to learn D3 for data visualisation
Some basics on how to use matplotlib for plotting data
A journey from country to country, in data.
The 8th of March and where we’re at, some data.
Women amaze, as does everyone else
The concept of entropy and how can it be useful in a classification problem.
A quick overview of what they are and what they describe.
How the word average is used in regular talk and how to interpret and calculate it best
Looking at the IBA cocktails, in data.
What did James Bond drink, in data.
Not your usual roman place, the Babington’s tea rooms in Rome
Looking at truth tables via the McCulloch-Pitts unit
Creating files for training object detection models in TensorFlow
Looking at YOLO and Darknet as neural network frameworks for object detection
The year climate change went mainstream.
Looking at data about the share of low-emission buses in fleets from specific cities
Looking at the volume of stories about climate change in the media to assess how this area has been discussed historically, a case from the New York Times.
Building the landscape of viral families and species in a data viz
Several of the candidates under work for a COVID-19 vaccine use methods and technologies which are novel and not used yet in existing vaccines.
Looking at the volume of candidate vaccines against COVID-19 and their progress in pre-clinical and clinical phases, in time
A classic of the year-end, reviewing what’s done
Some considerations on property-buying and the whole process
Framing projects and digesting content
Strauss galore, but there’s some more
The choice of festive movies is larger and larger, in data
And a reflection on science popularisation
Passing long lists of texts to categorise
Looking at the differences between predicted and effective realisation
Looking at the differences between predicted and effective realisation
The choice of festive movies is larger and larger, in data
A review of the movie Anna Karenina
The evolving field of data science, from the trench, and what is the sense of it all
My first week of work in the industry after transitioning from academia
How not to use machine learning: to make recipes
The British bureaucracy for a European immigrant
My (sad) moving from Glasgow to Edinburgh
The British bureaucracy for a European immigrant
Running is an amazing activity for body and mind. It is hard work, but it feels so good. I started running more and more lately and have progressed quite well.
How I started running from the absolute zero
Python for querying a DynamoDB in AWS with boto3
Using Python for querying Elasticsearch
Playing with maths with Jupyter interactivity.
Learning to make the most of Jupyter notebooks
Creating files for training object detection models in TensorFlow
Looking at YOLO and Darknet as neural network frameworks for object detection
Creating files for training object detection models in TensorFlow
Looking at YOLO and Darknet as neural network frameworks for object detection
A list of easy command line commands to facilitate data work
Make your terminal beautiful and efficient with Oh My ZSH!
Going with Dickens on a tour of Italy, a data card.
This March, I’ve been away for 3 weeks visiting some places along the USA East Coast. This post will give the overview of what I’ve done and seen!
A lot of sugar and a data story.
This March, I’ve been away for 3 weeks visiting some places along the USA East Coast. This post will give the overview of what I’ve done and seen!
Several of the candidates under work for a COVID-19 vaccine use methods and technologies which are novel and not used yet in existing vaccines.
Looking at the volume of candidate vaccines against COVID-19 and their progress in pre-clinical and clinical phases, in time
What is the best way to perform a technical interview for a data science position?
And how to avoid them
Looking at truth tables via the McCulloch-Pitts unit
Reflecting on the history of technology company Olivetti and what it can still mean today.
Analysing colours in Caravaggio’s art.
Analysing colours in Pierre-Auguste Renoir’s art.
Analysing colours in Caravaggio’s art.
Analysing colours in Pierre-Auguste Renoir’s art.
Analysing colours in Caravaggio’s art.
Analysing colours in Pierre-Auguste Renoir’s art.
Analysing colours in Caravaggio’s art.
Analysing colours in Pierre-Auguste Renoir’s art.
Looking at the IBA cocktails, in data.
What did James Bond drink, in data.
This time, looking at musical careers
The most popular 80s tracks from Spotify, in data
The concept of entropy and how can it be useful in a classification problem.
A quick overview of what they are and what they describe.
Passing long lists of texts to categorise
Some quick notes - it’s a tool, not a oracle
Passing long lists of texts to categorise
Some quick notes - it’s a tool, not a oracle
A review of the book “L’anello di re Salomone” (Italian)
The British bureaucracy for a European immigrant
My two cents on how to give quality public talks
My two cents on how to give quality public talks
Digging into this foundational piece of machinery
Digging into this foundational piece of machinery
Some basics on how to use matplotlib for plotting data
Using Python for querying Elasticsearch
Python for querying a DynamoDB in AWS with boto3
Python for querying a DynamoDB in AWS with boto3
Python for querying a DynamoDB in AWS with boto3
How to plot the real frequency of occurrence of text with NLTK
Learning to make the most of Jupyter notebooks
Installing OpenCV3 with Python3 bindings on macOS, the ultimate guide
Installing OpenCV3 with Python3 bindings on macOS, the ultimate guide
Installing OpenCV3 with Python3 bindings on macOS, the ultimate guide
Scientific publishing is broken and academia is doing very little to fix it
Following a path to learn D3 for data visualisation
Following a path to learn D3 for data visualisation
Da autodidatta, costruire due band e arrangiare brani
We analysed how the frequency of tags on Stack Overflow behaves, what are the relevant distributions, whether the age of a tag has an effect and what part do...
I’ve learned a bit about Google Cloud by tinkering on it to run a little job, this post outlines the steps and an overview of the platform.
I’ve learned a bit about Google Cloud by tinkering on it to run a little job, this post outlines the steps and an overview of the platform.
I’ve learned a bit about Google Cloud by tinkering on it to run a little job, this post outlines the steps and an overview of the platform.
Not your usual roman place, the Babington’s tea rooms in Rome
Make your terminal beautiful and efficient with Oh My ZSH!
Creating files for training object detection models in TensorFlow
PyDataEdinburgh, the first birthday
PyDataEdinburgh, the first birthday
Running is an amazing activity for body and mind. It is hard work, but it feels so good. I started running more and more lately and have progressed quite well.
Looking at the volume of stories about climate change in the media to assess how this area has been discussed historically, a case from the New York Times.
Looking at the volume of stories about climate change in the media to assess how this area has been discussed historically, a case from the New York Times.
In a Google Sheet, count the number of times a term appears in rows where one column has a comma-separated list
Talking about some shows I loved, with a feminist kick
Talking about some shows I loved, with a feminist kick
Talking about some shows I loved, with a feminist kick
Talking about some shows I loved, with a feminist kick
Framing projects and digesting content
Framing projects and digesting content
Building the landscape of viral families and species in a data viz
Building the landscape of viral families and species in a data viz
Python’s antigravity package explored
Some considerations on property-buying and the whole process
Or how the data science advocacy unfolds
And how to avoid them
What is the best way to perform a technical interview for a data science position?
Reflecting on the history of technology company Olivetti and what it can still mean today.
Reflecting on the history of technology company Olivetti and what it can still mean today.
Reflecting on the history of technology company Olivetti and what it can still mean today.
The world records in freestyle swimming, for men and women, a data card.
Spreadsheets don’t enjoy much of a good reputation in the data science circles. But I’d argue they’re a great tool and deserve more respect.
A walkthrough example of gathering data and preparing it ahead of analysis and display, with detailed steps.
A walkthrough example of gathering data and preparing it ahead of analysis and display, with detailed steps.
A walkthrough example of gathering data and preparing it ahead of analysis and display, with detailed steps.
A walkthrough example of gathering data and preparing it ahead of analysis and display, with detailed steps.
Analysing colours in Pierre-Auguste Renoir’s art.
Exploring the favourite keys used by composers of the Classical era, in data.
Looking at data about the share of low-emission buses in fleets from specific cities
Going with Dickens on a tour of Italy, a data card.
A lot of sugar and a data story.
And a reflection on science popularisation
Looking at the IBA cocktails, in data.
The 8th of March and where we’re at, some data.
A lipidic data journey.
Much more variety than you may know of.
Exploring some ways to make better use of bar charts in data viz
A journey from country to country, in data.
A journey from country to country, in data.
Strauss galore, but there’s some more
Strauss galore, but there’s some more
Strauss galore, but there’s some more
Playing with maths with Jupyter interactivity.
Playing with maths with Jupyter interactivity.
Playing with maths with Jupyter interactivity.
Playing with maths with Jupyter interactivity.
Some quick notes - it’s a tool, not a oracle
Looking at the differences between predicted and effective realisation
social impact
Entrepreneurship, social impact, and Olivetti
June 08, 2021
8 minute read
Reflecting on the history of technology company Olivetti and what it can still mean today.