Upcoming talks and demos:

Jupyter Con - New York 23-25 Aug









View Natalino Busa's profile on LinkedIn





Principal Data Scientist, Director for Data Science, AI, Big Data Technologies. O’Reilly author on distributed computing and machine learning.



Natalino leads the definition, design and implementation of data-driven financial and telecom applications. He has previously served as Enterprise Data Architect at ING in the Netherlands, focusing on fraud prevention/detection, SoC, cybersecurity, customer experience, and core banking processes.


​Prior to that, he had worked as senior researcher at Philips Research Laboratories in the Netherlands, on the topics of system-on-a-chip architectures, distributed computing and compilers. All-round Technology Manager, Product Developer, and Innovator with 15+ years track record in research, development and management of distributed architectures, scalable services and data-driven applications.

Tuesday, October 15, 2013

Parametric gaussian normal distribution with R and ggplot

Gaussian distribution


Let's defining a population of normally distributed elements, with small sample size. We can start by plotting a family of normal distributions, with increasing standard deviation from 1 to 4 and zero mean.