STFC School on Data Intensive Science 2020

Session

Parallel Session Data Analysis

13 Oct 2020, 10:30

Zoom Meeting

14. Big Data Python ecosystem for HEP

Eduardo Rodrigues

13/10/2020, 10:30

Data analysis in High Energy Physics (HEP) has evolved considerably in recent years. In particular, the role of Python has been gaining much momentum, sharing at present the show with C++ as a language of choice. Several (community) domain-specific projects have seen the day, providing (HEP) data analysis packages that profit from, and talk to well with, the huge Python scientific ecosystem,...

15. Demystifying "Big Data"

Andy Newsam

13/10/2020, 10:30

In a world increasingly dependent on vast data sets and complex processes to analyse and manipulate them, public understanding of them is poor. Combined with secrecy from vested interests, political spin, and conspiracy theories about "mutant algorithms" etc. this leads to mistrust, even fear, and dangerous anti-science attitudes. Demystifying "big data" is an important task which anyone...

12. Preparation of large datasets for machine learning

Isabell Melzer-Pellmann

13/10/2020, 10:30

Machine learning enjoys increasing popularity in many fields in economy and science. In most of the courses about machine learning, the data is already given nicely formatted for the usage of out the box, and the pre-processing of data is barely touched. But in reality, one of the most time-consuming steps when using machine learning is the proper preparation of the training data. Besides...

16. Big Data Python ecosystem for HEP

Eduardo Rodrigues

13/10/2020, 13:30

Data analysis in High Energy Physics (HEP) has evolved considerably in recent years. In particular, the role of Python has been gaining much momentum, sharing at present the show with C++ as a language of choice. Several (community) domain-specific projects have seen the day, providing (HEP) data analysis packages that profit from, and talk to well with, the huge Python scientific ecosystem,...

17. Demystifying "Big Data"

Andy Newsam 

13/10/2020, 13:30

In a world increasingly dependent on vast data sets and complex processes to analyse and manipulate them, public understanding of them is poor. Combined with secrecy from vested interests, political spin, and conspiracy theories about "mutant algorithms" etc. this leads to mistrust, even fear, and dangerous anti-science attitudes. Demystifying "big data" is an important task which anyone...

13. Preparation of large datasets for machine learning

Isabell Melzer-Pellmann

13/10/2020, 13:30

Machine learning enjoys increasing popularity in many fields in economy and science. In most of the courses about machine learning, the data is already given nicely formatted for the usage of out the box, and the pre-processing of data is barely touched. But in reality, one of the most time-consuming steps when using machine learning is the proper preparation of the training data. Besides...