Result: Machine Learning.

Title:
Machine Learning.
Authors:
Ono, Kanta1 (AUTHOR)
Source:
Synchrotron Radiation News. Jul/Aug2022, Vol. 35 Issue 4, p2-2. 1p.
Database:
Academic Search Index

Further Information

With recent advances in machine learning technology, data-driven research is beginning to permeate natural science and engineering fields. Furthermore, machine learning technology has become much easier than in the past, thanks not only to simple programming languages such as Python but also to open source platforms on which an ecosystem for data analysis has been built. Taking synchrotron radiation experiments as an example, the measurement space to be explored in experiments is extremely wide. [Extracted from the article]