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