TY  - GEN
N2  - This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
DO  - 10.1007/978-3-030-75847-9
DO  - doi
AB  - This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
T1  - Machine learning in industry /
DA  - ©2022.
CY  - Cham, Switzerland :
AU  - Datta, Shubhabrata,
AU  - Davim, J. Paulo,
CN  - Q325.5
PB  - Springer,
PP  - Cham, Switzerland :
PY  - ©2022.
ID  - 1442059
KW  - Machine learning.
KW  - Artificial intelligence
KW  - Apprentissage automatique.
KW  - Intelligence artificielle
SN  - 9783030758479
SN  - 3030758478
TI  - Machine learning in industry /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75847-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75847-9
ER  -