Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 67,48
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. 133.
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2017. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 90,00
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In den WarenkorbPaperback. Zustand: Brand New. 151 pages. 9.25x6.25x0.50 inches. In Stock.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. MATLAB Deep Learning | With Machine Learning, Neural Networks and Artificial Intelligence | Phil Kim | Taschenbuch | xvii | Englisch | 2017 | APRESS | EAN 9781484228449 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 145,40
Anzahl: 15 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 141,05
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
EUR 159,75
Anzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New. Kamal I. M. Al-Malah received his PhD degree from Oregon State University in 1993. He served as a Professor of Chemical Engineering in Jordan and Gulf countries, as well as Former Chairman of the Chemical Engineering Department at the University of Hail in .
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 222,67
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 560 pages. 10.20x7.32x1.46 inches. In Stock.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - MACHINE AND DEEP LEARNINGIn-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processesMachine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code.The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues.Readers will also find information on:\* Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning)\* Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response)\* Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps\* Retraining and creation for image labeling, object identification, regression classification, and text recognitionMachine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.