Difference between revisions of "Research Implementation, Human Skills and Resource Management, and Sciences Education in Digital Era"
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'''link to material:''' https://ifors.org/wp-content/uploads/2019/12/Willi-Magda-et-al.-North-Sumatra-November-2019.pdf | '''link to material:''' https://ifors.org/wp-content/uploads/2019/12/Willi-Magda-et-al.-North-Sumatra-November-2019.pdf | ||
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[[Category:Labor]] | [[Category:Labor]] |
Revision as of 01:59, 14 December 2019
by: Gerhard-Wilhelm Weber, M. Graczyk-Kucharska, M. Szafranski, S. Gütmen, A. Özmen, A. Cevik, Z. Wlodarczak, M. Golinski, S. Kuter, R. Filia Sari
Introduction.
Learning from data has become very important in every field of science and technology, e.g., in
- financial sector, economics,
- quality improvement in manufacturing,
- computational biology, bioinformatics, medicine,
- earth- and geosciences, engineering,
- social sciences, and humanities.
Learning enables for doing estimation, modeling and prediction.
Learning named as:
- Statistical Learning,
- Deep Learning,
- Theory of Inverse Problems,
- Data Mining,
- Analytics, and
- Artificial Intelligence.
link to material: https://ifors.org/wp-content/uploads/2019/12/Willi-Magda-et-al.-North-Sumatra-November-2019.pdf