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Book Description paperback. Condition: New. Language: ENG. Seller Inventory # 9780367738198
Book Description Condition: New. Buy with confidence! Book is in new, never-used condition 1.1. Seller Inventory # bk0367738198xvz189zvxnew
Book Description Condition: New. New! This book is in the same immaculate condition as when it was published 1.1. Seller Inventory # 353-0367738198-new
Book Description Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9780367738198
Book Description Paperback. Condition: Brand New. 328 pages. 9.21x6.14x0.91 inches. In Stock. Seller Inventory # __0367738198
Book Description Blanda. Condition: New. Dust Jacket Condition: Nuevo. No Aplica (illustrator). 1. ".a thorough, but readable guide to parallel computing?one that can be used by researchers and students in a wide range of disciplines. In my view, this book will meet that need. ? For me and colleagues in my field, I would see this as a ?must-have? reference book." David E. Giles, University of Victoria. "This is a book that I will use, both as a reference and for instruction. The examples are poignant and the presentation moves the reader directly from concept to working code." Michael Kane, Yale University. Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science. The book also discusses software packages that span more than one type of hardware and can be used from more than one type of programming language. Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He earned a PhD in pure mathematics from UCLA. 480 gr. Libro. Seller Inventory # 9780367738198LEA88973
Book Description Einband - flex.(Paperback). Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Norman Matloff is a professor of computer science at the University of California, Davis, where he was a founding member of the Department of Statistics. He is a statistical consultant and a former database software developer. He has. Seller Inventory # 594600591