Computer Vision With Sas
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Computer Vision With Sas
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Author : Susan Kahler
language : en
Publisher:
Release Date : 2020-07-22
Computer Vision With Sas written by Susan Kahler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-22 with Computers categories.
Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. In recent years, computer vision has begun to rival and even surpass human visual abilities in many areas. SAS offers many different solutions to train computers to "see" by identifying and classifying objects, and several groundbreaking papers have been written to demonstrate these techniques. The papers included in this special collection demonstrate how the latest computer vision tools and techniques can be used to solve a variety of business problems.
Deep Learning For Computer Vision With Sas
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Author : Robert Blanchard
language : en
Publisher:
Release Date : 2020-06-12
Deep Learning For Computer Vision With Sas written by Robert Blanchard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with categories.
Discover deep learning and computer vision with SAS! Deep Learning for Computer Vision with SAS(R) An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders. Transfer learning is covered to help readers learn about this emerging field. Containing a mix of theory and application, this book will also briefly cover methods for customizing deep learning models to solve novel business problems or answer research questions. SAS programs and data are included to reinforce key concepts and allow readers to follow along with included demonstrations. Readers will learn how to: Define and understand deep learning Build models using deep learning techniques and SAS Viya Apply models to score (inference) new data Modify data for better analysis results Search the hyperparameter space of a deep learning model Leverage transfer learning using supervised and unsupervised methods
Computer Vision With Sas
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Author :
language : en
Publisher:
Release Date : 2022
Computer Vision With Sas written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Deep Learning For Computer Vision With Sas
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Author : Robert Blanchard
language : en
Publisher: SAS Institute
Release Date : 2020-06-12
Deep Learning For Computer Vision With Sas written by Robert Blanchard and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Computers categories.
Discover deep learning and computer vision with SAS! Deep Learning for Computer Vision with SAS®: An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders. Transfer learning is covered to help readers learn about this emerging field. Containing a mix of theory and application, this book will also briefly cover methods for customizing deep learning models to solve novel business problems or answer research questions. SAS programs and data are included to reinforce key concepts and allow readers to follow along with included demonstrations. Readers will learn how to: Define and understand deep learning Build models using deep learning techniques and SAS Viya Apply models to score (inference) new data Modify data for better analysis results Search the hyperparameter space of a deep learning model Leverage transfer learning using supervised and unsupervised methods
Machine Learning With Sas Viya
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Author : SAS Institute Inc.
language : en
Publisher: SAS Institute
Release Date : 2020-05-29
Machine Learning With Sas Viya written by SAS Institute Inc. and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-29 with Computers categories.
Master machine learning with SAS Viya! Machine learning can feel intimidating for new practitioners. Machine Learning with SAS Viya provides everything you need to know to get started with machine learning in SAS Viya, including decision trees, neural networks, and support vector machines. The analytics life cycle is covered from data preparation and discovery to deployment. Working with open-source code? Machine Learning with SAS Viya has you covered – step-by-step instructions are given on how to use SAS Model Manager tools with open source. SAS Model Studio features are highlighted to show how to carry out machine learning in SAS Viya. Demonstrations, practice tasks, and quizzes are included to help sharpen your skills. In this book, you will learn about: Supervised and unsupervised machine learning Data preparation and dealing with missing and unstructured data Model building and selection Improving and optimizing models Model deployment and monitoring performance
Deep Learning For Computer Vision With Sas
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Author : Robert Blanchard
language : en
Publisher:
Release Date : 2020-06-12
Deep Learning For Computer Vision With Sas written by Robert Blanchard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with categories.
Discover deep learning and computer vision with SAS! Deep Learning for Computer Vision with SAS(R) An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders. Transfer learning is covered to help readers learn about this emerging field. Containing a mix of theory and application, this book will also briefly cover methods for customizing deep learning models to solve novel business problems or answer research questions. SAS programs and data are included to reinforce key concepts and allow readers to follow along with included demonstrations. Readers will learn how to: Define and understand deep learning Build models using deep learning techniques and SAS Viya Apply models to score (inference) new data Modify data for better analysis results Search the hyperparameter space of a deep learning model Leverage transfer learning using supervised and unsupervised methods
Natural Language Processing With Sas
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Author :
language : en
Publisher:
Release Date : 2020-08-31
Natural Language Processing With Sas written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with categories.
Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret, and emulate written or spoken human language. NLP draws from many disciplines including human-generated linguistic rules, machine learning, and deep learning to fill the gap between human communication and machine understanding. The papers included in this special collection demonstrate how NLP can be used to scale the human act of reading, organizing, and quantifying text data.
Deep Learning For Numerical Applications With Sas
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Author : Henry Bequet
language : en
Publisher: SAS Institute
Release Date : 2018-07-20
Deep Learning For Numerical Applications With Sas written by Henry Bequet and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Computers categories.
Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS 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. 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. 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 Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms This book is part of the SAS Press program.
Text Analytics With Sas
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Author :
language : en
Publisher:
Release Date : 2019-06-14
Text Analytics With Sas written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with categories.
SAS provides many different solutions to investigate and analyze text and operationalize decisioning. Several impressive papers have been written to demonstrate how to use these techniques. We have carefully selected a handful of these from recent Global Forum contributions to introduce you to the topic and let you sample what each has to offer. Also available free as a PDF from sas.com/books.