Machine Learning With Sas

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Machine Learning with SAS Viya

SAS Institute Inc.
Machine Learning with SAS Viya Book PDF

Author : SAS Institute Inc.
Publisher : SAS Institute
Page : 295 pages
File Size : 44,5 Mb
Release : 2020-05-29
Category : Computers
ISBN : 9781951685379

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Machine Learning with SAS Viya by SAS Institute Inc. Pdf

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

Machine Learning with SAS

Anonim
Machine Learning with SAS Book PDF

Author : Anonim
Publisher : Unknown
Page : 168 pages
File Size : 53,6 Mb
Release : 2019-06-21
Category : Electronic
ISBN : 1642954764

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Machine Learning with SAS by Anonim Pdf

Machine learning is a branch of artificial intelligence (AI) that develops algorithms that allow computers to learn from examples without being explicitly programmed. Machine learning identifies patterns in the data and models the results. These descriptive models enable a better understanding of the underlying insights the data offers. Machine learning is a powerful tool with many applications, from real-time fraud detection, the Internet of Things (IoT), recommender systems, and smart cars. It will not be long before some form of machine learning is integrated into all machines, augmenting the user experience and automatically running many processes intelligently. SAS offers many different solutions to use machine learning to model and predict your data. The papers included in this special collection demonstrate how cutting-edge machine learning techniques can benefit your data analysis. Also available free as a PDF from sas.com/books.

Exploring SAS Viya

Sas Education
Exploring SAS Viya Book PDF

Author : Sas Education
Publisher : Unknown
Page : 126 pages
File Size : 40,6 Mb
Release : 2020-01-10
Category : Computers
ISBN : 1642955884

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Exploring SAS Viya by Sas Education Pdf

SAS Visual Data Mining and Machine Learning, powered by SAS Viya, means that users of all skill levels can visually explore data on their own while drawing on powerful in-memory technologies for faster analytic computations and discoveries. You can manually program with custom code or use the features in SAS Studio, Model Studio, and SAS Visual Analytics to automate your data manipulation and modeling. These programs offer a flexible, easy-to-use, self-service environment that can scale on an enterprise-wide level. In this book, we will explore some of the many features of SAS Visual Data Mining and Machine Learning including: programming in the Python interface; new, advanced data mining and machine learning procedures; pipeline building in Model Studio, and model building and comparison in SAS Visual Analytics.

Supervised Machine Learning

Tanya Kolosova,Samuel Berestizhevsky
Supervised Machine Learning Book PDF

Author : Tanya Kolosova,Samuel Berestizhevsky
Publisher : CRC Press
Page : 140 pages
File Size : 45,7 Mb
Release : 2020-09-21
Category : Computers
ISBN : 9781000176834

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Supervised Machine Learning by Tanya Kolosova,Samuel Berestizhevsky Pdf

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics, design and analysis of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness of the classifiers. Key Features: Using ML methods by itself doesn’t ensure building classifiers that generalize well for new data Identifying optimal feature subsets and hyper-parameters of ML methods can be resolved using design and analysis of statistical experiments Using a bootstrapping approach to massive sampling of training and tests datasets with various data characteristics (e.g.: contaminated training sets) allows dealing with bias Developing of SAS-based table-driven environment allows managing all meta-data related to the proposed AI framework and creating interoperability with R libraries to accomplish variety of statistical and machine-learning tasks Computer programs in R and SAS that create AI framework are available on GitHub

End-to-End Data Science with SAS

James Gearheart
End to End Data Science with SAS Book PDF

Author : James Gearheart
Publisher : SAS Institute
Page : 246 pages
File Size : 45,9 Mb
Release : 2020-06-26
Category : Computers
ISBN : 9781642958065

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End-to-End Data Science with SAS by James Gearheart Pdf

Learn data science concepts with real-world examples in SAS! End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary to develop machine learning models in any industry. The book covers concepts including understanding the business need, creating a modeling data set, linear regression, parametric classification models, and non-parametric classification models. Real-world business examples and example code are used to demonstrate each process step-by-step. Although a significant amount of background information and supporting mathematics are presented, the book is not structured as a textbook, but rather it is a user’s guide for the application of data science and machine learning in a business environment. Readers will learn how to think like a data scientist, wrangle messy data, choose a model, and evaluate the model’s effectiveness. New data scientists or professionals who want more experience with SAS will find this book to be an invaluable reference. Take your data science career to the next level by mastering SAS programming for machine learning models.

Applied Analytics through Case Studies Using SAS and R

Deepti Gupta
Applied Analytics through Case Studies Using SAS and R Book PDF

Author : Deepti Gupta
Publisher : Apress
Page : 415 pages
File Size : 43,7 Mb
Release : 2018-08-03
Category : Computers
ISBN : 9781484235256

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Applied Analytics through Case Studies Using SAS and R by Deepti Gupta Pdf

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniques Create and apply analytical strategies Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.

Deep Learning for Numerical Applications with SAS

Henry Bequet
Deep Learning for Numerical Applications with SAS Book PDF

Author : Henry Bequet
Publisher : SAS Institute
Page : 234 pages
File Size : 55,9 Mb
Release : 2018-07-20
Category : Computers
ISBN : 9781635266771

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Deep Learning for Numerical Applications with SAS by Henry Bequet Pdf

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.

Deep Learning for Computer Vision with SAS

Robert Blanchard
Deep Learning for Computer Vision with SAS Book PDF

Author : Robert Blanchard
Publisher : SAS Institute
Page : 120 pages
File Size : 44,9 Mb
Release : 2020-06-12
Category : Computers
ISBN : 9781642959178

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Deep Learning for Computer Vision with SAS by Robert Blanchard Pdf

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

Introduction to Statistical and Machine Learning Methods for Data Science

Carlos Andre Reis Pinheiro,Mike Patetta
Introduction to Statistical and Machine Learning Methods for Data Science Book PDF

Author : Carlos Andre Reis Pinheiro,Mike Patetta
Publisher : SAS Institute
Page : 169 pages
File Size : 41,5 Mb
Release : 2021-08-06
Category : Computers
ISBN : 9781953329622

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Introduction to Statistical and Machine Learning Methods for Data Science by Carlos Andre Reis Pinheiro,Mike Patetta Pdf

Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need. No software is shown in the book, and mathematical details are kept to a minimum. This allows you to develop an understanding of the fundamentals of data science, no matter what background or experience level you have.

SAS Viya

Kevin D. Smith,Xiangxiang Meng
SAS Viya Book PDF

Author : Kevin D. Smith,Xiangxiang Meng
Publisher : SAS Institute
Page : 425 pages
File Size : 49,7 Mb
Release : 2018-02-08
Category : Computers
ISBN : 9781629608839

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SAS Viya by Kevin D. Smith,Xiangxiang Meng Pdf

Learn how to access analytics from SAS Cloud Analytic Services (CAS) using Python and the SAS Viya platform. SAS Viya : The Python Perspective is an introduction to using the Python client on the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS. This book focuses on the perspective of SAS Viya from Python. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. The Python client is used to drive the CAS component directly using objects and constructs that are familiar to Python programmers. Some knowledge of Python would be helpful before using this book; however, there is an appendix that covers the features of Python that are used in the CAS Python client. Knowledge of CAS is not required to use this book. However, you will need to have a CAS server set up and running to execute the examples in this book. With this book, you will learn how to: Install the required components for accessing CAS from Python Connect to CAS, load data, and run simple analyses Work with CAS using APIs familiar to Python users Grasp general CAS workflows and advanced features of the CAS Python client SAS Viya : The Python Perspective covers topics that will be useful to beginners as well as experienced CAS users. It includes examples from creating connections to CAS all the way to simple statistics and machine learning, but it is also useful as a desktop reference.

Learning SAS by Example

Ron Cody
Learning SAS by Example Book PDF

Author : Ron Cody
Publisher : SAS Institute
Page : 536 pages
File Size : 52,8 Mb
Release : 2018-07-03
Category : Computers
ISBN : 9781635266566

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Learning SAS by Example by Ron Cody Pdf

Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.

Computer Vision with SAS

Susan Kahler
Computer Vision with SAS Book PDF

Author : Susan Kahler
Publisher : Unknown
Page : 112 pages
File Size : 43,9 Mb
Release : 2020-07-22
Category : Computers
ISBN : 195236504X

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Computer Vision with SAS by Susan Kahler Pdf

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.

Tree-Based Machine Learning Methods in SAS Viya

Sharad Saxena
Tree Based Machine Learning Methods in SAS Viya Book PDF

Author : Sharad Saxena
Publisher : Unknown
Page : 364 pages
File Size : 49,8 Mb
Release : 2022-02-21
Category : Computers
ISBN : 1954846711

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Tree-Based Machine Learning Methods in SAS Viya by Sharad Saxena Pdf

Discover how to build decision trees using SASViya! Tree-Based Machine Learning Methods in SASViya covers everything from using a single tree to more advanced bagging and boosting ensemble methods. The book includes discussions of tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees, forests, and gradient boosted trees. Each chapter introduces a new data concern and then walks you through tweaking the modeling approach, modifying the properties, and changing the hyperparameters, thus building an effective tree-based machine learning model. Along the way, you will gain experience making decision trees, forests, and gradient boosted trees that work for you. By the end of this book, you will know how to: build tree-structured models, including classification trees and regression trees. build tree-based ensemble models, including forest and gradient boosting. run isolation forest and Poisson and Tweedy gradient boosted regression tree models. implement open source in SAS and SAS in open source. use decision trees for exploratory data analysis, dimension reduction, and missing value imputation.

Big Data, Data Mining, and Machine Learning

Jared Dean
Big Data Data Mining and Machine Learning Book PDF

Author : Jared Dean
Publisher : John Wiley & Sons
Page : 293 pages
File Size : 51,9 Mb
Release : 2014-05-07
Category : Computers
ISBN : 9781118920701

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Big Data, Data Mining, and Machine Learning by Jared Dean Pdf

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.

Natural Language Processing with SAS

Anonim
Natural Language Processing with SAS Book PDF

Author : Anonim
Publisher : Unknown
Page : 74 pages
File Size : 46,5 Mb
Release : 2020-08-31
Category : Electronic
ISBN : 1952363187

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Natural Language Processing with SAS by Anonim Pdf

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.