The Signal and The Noise by Nate Silver is a must-read book for those interested in predictions. It is not a technical book. You will not learn any algorithm. However, it presents a series of real-world scenarios when predictions did work and where predictions did not work. The book is …read more
Yesterday, I gave a talk Python Milano Meetup. The Meetup was designed as Python pills: three 20-minutes talks in a row. The talks:
- Superset: data visualization at AirBnB - Marco Santoni
- Java Vs Python - Cesare Placanica
- pdb in action - Lorenzo Mele
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 more
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 more
I 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 more
I 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.
2016 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 more
I was glad to give an intro to Bayesian Inference at PyData Florence 2016. The video of the talk is now out.read more
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