{"product_id":"deep-learning-for-numerical-applications-with-sas-paperback","title":"Deep Learning for Numerical Applications with SAS - Paperback","description":"\u003cp\u003eby \u003cb\u003eHenry Bequet\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eForeword by Oliver Schabenberger, PhD\u003cbr\u003e Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS\u003c\/i\u003e\u003c\/p\u003e Dive into deep learning  Machine learning and deep learning are ubiquitous in our homes and workplaces-from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. \u003cp\u003e Deep Learning for Numerical Applications with SAS presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. \u003c\/p\u003e\u003cp\u003e This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eUse deep learning in SAS \u003c\/li\u003e\n\u003cli\u003eSpeed up their analytics using deep learning \u003c\/li\u003e\n\u003cli\u003eEasily write highly parallel programs using the many task computing paradigms \u003c\/li\u003e\n\u003c\/ul\u003e \u003cbr\u003e This book is part of the SAS Press program.\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eHenry Bequet is Director of High-Performance Computing and Machine Learning in the Financial Risk division of SAS. In that capacity, he leads the development of a high-performance solution that can run SAS code on thousands of CPU and GPU cores for advanced models that use techniques like Black-Scholes, Binomial Evaluation, and Monte-Carlo simulations. Henry has more than 35 years of industry experience and 15 years of high-performance analytics practice. He has published two books and several papers on server development and machine learning.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 234\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.49 x 9.25 x 7.52 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 20, 2018\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42713868042303,"sku":"9781635266801","price":146.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/3aa42ff8afa13d025495eada0220e32e.webp?v=1765066165","url":"https:\/\/dhlswag.com\/products\/deep-learning-for-numerical-applications-with-sas-paperback","provider":"BBB","version":"1.0","type":"link"}