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Kai Hwang Big-Data Analytics for Cloud, IoT and Cognitive Computing Kai Hwang Big-Data Analytics for Cloud, IoT and Cognitive Computing
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Kai Hwang Big-Data Analytics for Cloud, IoT and Cognitive Computing


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7206.62 руб.

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

James Cochran J. INFORMS ABOK James Cochran J. INFORMS ABOK
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James Cochran J. INFORMS ABOK


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9257.46 руб.

Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—which is “a process by which a team of people helps an organization make better decisions (the objective) through the analysis of data (the activity)”– this book from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. The INFORMS ABOK documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics. The INFORMS ABOK offers in-depth insight from peer-reviewed chapters that provide readers with a better understanding of the dynamic field of analytics. Chapters cover: Introduction to Analytics; Getting Started with Analytics; The Analytics Team; The Data; Solution Methodology; Model Building; Machine Learning; Deployment and Life Cycle Management; and The Blossoming Analytics Talent Pool: An Overview of the Analytics Ecosystem. Across industries and academia, readers with various backgrounds in analytics – from novices who are interested in learning more about the basics of analytics to experienced professionals who want a different perspective on some aspect of analytics – will benefit from reading about and implementing the concepts and methods covered by the INFORMS ABOK.

Riaz Khadem Total Alignment Riaz Khadem Total Alignment
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Riaz Khadem Total Alignment


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1441.14 руб.

Усилитель SMSL SAP-12 Silver Усилитель SMSL SAP-12 Silver
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Усилитель SMSL SAP-12 Silver


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7407 руб.

Cute Cloud Neutral Pen Cartoon Learning Stationery Water-based Pen Creative Fresh Office Signature Pen Cute Cloud Neutral Pen Cartoon Learning Stationery Water-based Pen Creative Fresh Office Signature Pen
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Cute Cloud Neutral Pen Cartoon Learning Stationery Water-based Pen Creative Fresh Office Signature Pen


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78.04 руб.

Creative DIY Foam Rainbow Cloud Sun for Kids Learning Educational Toy Wall Decor Creative DIY Foam Rainbow Cloud Sun for Kids Learning Educational Toy Wall Decor
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Creative DIY Foam Rainbow Cloud Sun for Kids Learning Educational Toy Wall Decor


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63.83 руб.

Ajay Ohri Python for R Users. A Data Science Approach Ajay Ohri Python for R Users. A Data Science Approach
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Ajay Ohri Python for R Users. A Data Science Approach


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5043.61 руб.

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.

Jared Dean Big Data, Data Mining, and Machine Learning. Value Creation for Business Leaders and Practitioners Jared Dean Big Data, Data Mining, and Machine Learning. Value Creation for Business Leaders and Practitioners
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Jared Dean Big Data, Data Mining, and Machine Learning. Value Creation for Business Leaders and Practitioners


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3702.98 руб.

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.

Gene Pease Developing Human Capital. Using Analytics to Plan and Optimize Your Learning and Development Investments Gene Pease Developing Human Capital. Using Analytics to Plan and Optimize Your Learning and Development Investments
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Gene Pease Developing Human Capital. Using Analytics to Plan and Optimize Your Learning and Development Investments


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3702.98 руб.

Don't squander your most valuable resource! Collectively, your workers are your company's most important and most valuable asset. To make the most of this asset, nothing beats quantitative performance and investment measurement. Learning and Development is an 80 billion-dollar industry, and every valuable employee represents a sizable investment on the part of your company. To keep your business moving forward, effective management of human capital is crucial. It generates plenty of data, and deep analysis of this data helps you provide feedback and make adjustments to capitalize on the combined knowledge, skills, and creativity of your workers. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments provides a guidebook for collecting, organizing, and analyzing the data surrounding human capital so you can make the most of your employees' potential. Use predictive analysis to optimize human capital investments Learn effective study design and alignment Get the tools you need for measurement, surveys, and analysis Decide what to measure and how to measure it Outline your company's current and future analytics technology needs Map data sources, and overcome barriers to data collection Authors Gene Pease, Bonnie Beresford, and Lew Walker provide case studies in which major companies applied human capital analytics to guide people decisions, and expand upon the role of analytics in Learning and Development. Developing Human Capital: Using Analytics to Plan and Optimize Your Learning and Development Investments is an essential guide to 21st century human resources and management practices, and can keep you from squandering your company's most valuable resource.

Bill Franks The Analytics Revolution. How to Improve Your Business By Making Analytics Operational In The Big Data Era Bill Franks The Analytics Revolution. How to Improve Your Business By Making Analytics Operational In The Big Data Era
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Bill Franks The Analytics Revolution. How to Improve Your Business By Making Analytics Operational In The Big Data Era


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3082.73 руб.

Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.

Источник питания Orient SAP-04N 12V Источник питания Orient SAP-04N 12V
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Источник питания Orient SAP-04N 12V


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359 руб.

Площадка под хомуты Gembird Cablexpert SAP-30 30x30mm самоклеящаяся White - 20шт Площадка под хомуты Gembird Cablexpert SAP-30 30x30mm самоклеящаяся White - 20шт
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Площадка под хомуты Gembird Cablexpert SAP-30 30x30mm самоклеящаяся White - 20шт


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85 руб.

Замок 31 век SAP-100 Замок 31 век SAP-100
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Замок 31 век SAP-100


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498 руб.

Marie Lowman A Practical Guide to Analytics for Governments. Using Big Data for Good Marie Lowman A Practical Guide to Analytics for Governments. Using Big Data for Good
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Marie Lowman A Practical Guide to Analytics for Governments. Using Big Data for Good


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3082.73 руб.

Analytics can make government work better—this book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in fact, already does—transform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an expert in the field. Analytics allows you to mine your data to create a holistic picture of your constituents; this model helps you tailor programs, fine-tune legislation, and serve the populace more effectively. This book walks you through analytics as applied to government, and shows you how to reap Big data's benefits at whatever level necessary. Learn how analytics is already transforming government service delivery Delve into the digital healthcare revolution Use analytics to improve education, juvenile justice, and other child-focused areas Apply analytics to transportation, criminal justice, fraud, and much more Legislators and policy makers have plenty of great ideas—but how do they put those ideas into play? Analytics can play a crucial role in getting the job done well. A Practical Guide to Analytics for Governments provides advice, perspective, and real-world guidance for public servants everywhere.

Андерсон Джордж Лучшие практики внедрения SAP Андерсон Джордж Лучшие практики внедрения SAP
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Андерсон Джордж Лучшие практики внедрения SAP


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987 руб.

Книга знакомит с тем, как необходимо планировать центр данных SAP, инсталлировать компоненты mySAP, настраивать инструменты и процессы, необходимые для мониторинга и управления системой SAP. Рассматриваются вопросы анализа общей стоимости владения для выбора правильных технологических решений, позволяющих построить правильное применение продуктов SAP и выбрать технологических партнеров для развертывания решений SAP. В книге рассмотрены вопросы связанные с формированием всей команды SAP - от управляющего комитета до службы технической поддержки.

Источник питания Orient SAP-03N 12V Источник питания Orient SAP-03N 12V
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Источник питания Orient SAP-03N 12V


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379 руб.

PoE инжектор Orient SAP-C48POE 1A 30672 PoE инжектор Orient SAP-C48POE 1A 30672
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PoE инжектор Orient SAP-C48POE 1A 30672


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780 руб.

PoE инжектор Orient SAP-C48POE PoE инжектор Orient SAP-C48POE
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PoE инжектор Orient SAP-C48POE


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593 руб.

PoE инжектор Orient SAP-24POE 1A PoE инжектор Orient SAP-24POE 1A
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PoE инжектор Orient SAP-24POE 1A


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610 руб.

Площадка под хомуты Gembird Cablexpert SAP-20 20x20mm самоклеящаяся White - 100шт Площадка под хомуты Gembird Cablexpert SAP-20 20x20mm самоклеящаяся White - 100шт
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Площадка под хомуты Gembird Cablexpert SAP-20 20x20mm самоклеящаяся White - 100шт


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162 руб.

Усилитель для наушников S.M.S.L SAP-1 Усилитель для наушников S.M.S.L SAP-1
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Усилитель для наушников S.M.S.L SAP-1


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7799 руб.

Блок питания Orient SAP-48POE 1A Блок питания Orient SAP-48POE 1A
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Блок питания Orient SAP-48POE 1A


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770 руб.

Инжектор питания PoE ORIENT SAP-24POE 1A Инжектор питания PoE ORIENT SAP-24POE 1A
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Инжектор питания PoE ORIENT SAP-24POE 1A


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560 руб.

Усилитель для наушников S.M.S.L SAP-12 silver Усилитель для наушников S.M.S.L SAP-12 silver
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Усилитель для наушников S.M.S.L SAP-12 silver


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11590 руб.


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The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.
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