What does it mean to work as a data scientist in manufacturing? What is the value behind data? Data science has gained popularity in domains like internet, but the industrial production domain has specific requirements.
I gave a talk at Data Driven Innovation about the specific challenges when doing data …
read moreI received valuable feedbacks by Jim Nasby regarding the post about weighted random sampling with PostgreSQL. I will report here Jim's email.
Sadly, Common Table Expressions (CTE)s are insanely expensive, because each one must be fully materialized. So in your example, you're essentially creating 5 temp tables (one for …
read moreI have just launched atacmonitor. It is a website providing information about the waiting time at bus stops in Rome.
The datasource is live data about bus waiting time of ATAC, Rome's public transport company. The transport office provides public API with real-time data.
I have implemented a simple …
read moreI have migrated my blog. It is built under Pelican, a static site generator. It allows me to write posts as plain markdown or even Jupyter notebooks. I then use GitHub Pages to version and publish the blog. I am continuing to use Aruba as domain provider. It is sufficient …
read moreI have attended the IEEE Big Data 16 conference in Washington DC. I thank my company for sponsoring the trip. The conference included a special symposium dedicated to manufacturing. The symposium hosted some participants of the Bosch Production Line Performance competition from Kaggle.
read more2016 IEEE International Conference on Big Data …
You have a table like the following:
CREATE TABLE weights (
color varchar primary key,
weight float
);
INSERT INTO weights (color, weight)
VALUES
('red', 8),
('blue', 3),
('green', 10),
('yellow', 10);
The table lists the weights associated with certain colors. Imagine a weight representing how much you like that color.
Now …
read moreI was glad to give an intro to Bayesian Inference at PyData Florence 2016. The video of the talk is now out.
read moreThis post contains the code that I used in my talk at Python Milano Meetup on June 22nd 2016. The talk was a quick overview of Pipeline, a nice API by scikitlearn to abstract your machine learning algorithm. It is based on the Boston Housing Data Set.
We'll just load …
read moreI use Ubuntu 16.04. Sometimes, when I double-click a .deb file, the installation program does not work. What often solves the problem is installing it from terminal.
sudo dpkg -i my_deb_file.deb
sudo apt-get -f install
#DeepLearning introduction and enterprise architectures using #H2O - first #DataScienceMilan meetup! - https://t.co/I8LsfaFJSu
— Andrea Scarso (@andreaesseci) May 18, 2016
A new Data Science meetup is out in Milan. Two talks about Deep Learning were given in the first event.
Neural Networks and Deep Learning: An Introduction. @MilanHighTech. The first …
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