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Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor / / by Andreas François Vermeulen
| Industrial Machine Learning : Using Artificial Intelligence as a Transformational Disruptor / / by Andreas François Vermeulen |
| Autore | Vermeulen Andreas François |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Big data Artificial Intelligence Big Data |
| ISBN |
9781523150489
1523150483 9781484253168 1484253167 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- Chapter 2: Background Knowledge -- Chapter 3: Classic Machine Learning -- Chapter 4: Supervised Learning: Using labeled data for Insights -- Chapter 5: Supervised Learning: Advanced Algorithms -- Chapter 6: Unsupervised Learning: Using Unlabeled Data -- Chapter 7: Unsupervised Learning: Neural Network Toolkits -- Chapter 8: Unsupervised Learning: Deep Learning -- Chapter 9: Reinforcement Learning: Using Newly Gained Knowledge for Insights -- Chapter 10: Evolutionary Computing -- Chapter 11: Mechatronics -- Chapter 12: Robotics Revolution -- Chapter 13: Fourth Industrial Revolution (4IR ) -- Chapter 14: Industrialized Artificial Intelligence -- Chapter 15: Final Industrialization Project -- Appendix: Reference Material -- . |
| Record Nr. | UNINA-9910369899903321 |
Vermeulen Andreas François
|
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets / / by Andreas François Vermeulen
| Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets / / by Andreas François Vermeulen |
| Autore | Vermeulen Andreas François |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
| Descrizione fisica | 1 online resource (824 pages) |
| Disciplina | 005.73 |
| Soggetto topico |
Data mining
Big data Data structures (Computer science) Data Mining and Knowledge Discovery Big Data/Analytics Big Data Data Storage Representation |
| ISBN |
9781484230541
148423054X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Data Science Technology Stack -- Chapter 2: Vermeulen - Krennwallner - Hillman - Clark -- Chapter 3: Layered Framework -- Chapter 4: Business Layer -- Chapter 5: Utility Layer -- Chapter 6: Three Management Layers -- Chapter 7: Retrieve Super Step -- Chapter 8: Assess Super Step -- Chapter 9: Process Super Step -- Chapter 10: Transform Super Step -- Chapter 11: Organize and Report Super Step -- . |
| Record Nr. | UNINA-9910300364903321 |
|
Vermeulen Andreas François
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||