Gui ke ting deng (3 risultati)
- Brossura
Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 65,12
EUR 15,64 spedizioneSpedito da Cina a U.S.A.Quantità: 1 disponibili
paperback. Condizione: New. Paperback. Pub Date: 2003 07 Pages: 345 Language: Chinese in Publisher: Science Press institutions of higher learning in the 21st century materials: engineering fluid mechanics fluid mechanics textbooks used by the University of Technology. it seeks to reflect the higher education-oriented 21 century…teaching achievements of the reform program is consistent with international trends. focused. and strengthen the foundation. with practice and apply what they have learned. The main content of th.
- Altre immagini
- Brossura
Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 51,85
EUR 15,64 spedizioneSpedito da Cina a U.S.A.Quantità: 5 disponibili
paperback. Condizione: New. Paperback. Pub Date: 2015-12-01 Pages: 21 Language: Chinese Publisher: China Communications Press. Ltd. in accordance with this standard. Standardization Guide Part 1: Standard structure and writing (GBT1.1-2009) the drafting of the rules given. The standard proposed by the Transportation Research Ins…titute of Yunnan Province. This standard is under the jurisdiction of Yunnan Provincial Transport Standardization Technical Committee. This standard was drafted: Transportation Research Institute.
- Altre immagini
- Brossura
Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 126,21
EUR 15,64 spedizioneSpedito da Cina a U.S.A.Quantità: 3 disponibili
paperback. Condizione: New. Paperback. Pub Date: 2021-03-01 Pages: 496 Language: Chinese Publisher: National Defense Industry Press Large-scale Machine Learning: Parallel and Distributed Technology The content involves the parallelization of some machine learning algorithms. making large-scale distributed machines Learning algor…ithms become possible. The content is divided into four parts: large-scale machine learning frameworks. supervised and unsupervised learning algorithms. other learning algorithms and related appl.
