Upcoming talks and demos:

Codemotion - Amsterdam - 16 May
DevDays - Vilnius - 17 May
Strata - London - 22 May



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.

Friday, October 4, 2013

Roadmap to data science

Since a while I have started a journey about data science, mathematics, and computer science. Thanks to the excellent visualization of Swami Chandrasekaran, I am now categorising some of my blog posts, my latest readings, and courses according to those 10 metro "data science" lines.

Swami Chandrasekaran: becoming a data scientist

  1. Fundamentals
  2. Statistics
  3. Programming
  4. Machine Learning
  5. Text Mining / Natural Language Processing
  6. Data Visualization
  7. Big Data
  8. Data Ingestion
  9. Data Munging
  10. Toolbox