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Books > Computing & IT > Applications of computing > Databases

Reliable Machine Learning - Applying SRE Principles to ML in Production (Paperback): Cathy Chen, Niall Richard Murphy, Kranti... Reliable Machine Learning - Applying SRE Principles to ML in Production (Paperback)
Cathy Chen, Niall Richard Murphy, Kranti Parisa, D Sculley, Todd Underwood
R1,509 R1,322 Discovery Miles 13 220 Save R187 (12%) Ships in 12 - 17 working days

Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You'll examine: What ML is: how it functions and what it relies on Conceptual frameworks for understanding how ML "loops" work Effective "productionization," and how it can be made easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to get around them How ML, product, and production teams can communicate effectively

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics (Hardcover): R. Sujatha, S. L. Aarthy, R.... Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics (Hardcover)
R. Sujatha, S. L. Aarthy, R. Vettriselvan
R3,036 Discovery Miles 30 360 Ships in 12 - 17 working days

Provides insight into the skill set that requires leveraging strength to move further to act as a good data analyst Discusses how big data along with deep learning holds the potential to significantly increase data understanding and in turn, helps to make decisions Covers the numerous potential applications in healthcare, education, communications, media, and the entertainment industry Offers innovative platforms for integrating big data and deep learning Presents issues related to adequate data storage, sematic indexing, data tagging, and fast information retrieval from big data

Smart Computational Intelligence in Biomedical and Health Informatics (Hardcover): Amit Kumar Manocha, Mandeep Singh, Shruti... Smart Computational Intelligence in Biomedical and Health Informatics (Hardcover)
Amit Kumar Manocha, Mandeep Singh, Shruti Jain, Vishal Jain
R3,487 Discovery Miles 34 870 Ships in 12 - 17 working days

Covers evolutionary approaches to solve optimization problems in biomedical engineering. Discusses IoT, Cloud computing, data analytics in healthcare informatics. Provides computational intelligence-based solution for diagnosis of diseases. Reviews modelling and simulations in designing of biomedical equipment. Promotes machine learning based approaches to improvements in biomedical engineering problems.

Archaeology of Logic (Hardcover): Andrew Schumann Archaeology of Logic (Hardcover)
Andrew Schumann
R4,800 Discovery Miles 48 000 Ships in 12 - 17 working days

Around the third millennium B.C. in the Fertile Crescent, a world-system with a single world-economy, covering very vast regions, began to form. Mesopotamia became the center of this world-system. This was possible due to the development of common commercial law and logical competence there. The expansion of the world-economy during the Silk Road period from the 4th century B.C. to the early 5th century A.D. across various countries of Eurasia was accompanied by the spread of logical competence, first formed in Mesopotamia, as a mechanism of legal hermeneutics to draw logical conclusions without fallacies. This competence was simultaneously comprehended in different cultures connected by the Great Silk Road - in ancient Greek logic (4th - 2nd centuries B.C.); ancient Chinese proto-logic (5th - 2nd centuries B.C.); Judaic logical hermeneutics (1st - 2nd centuries A.D.); and in Indian-Buddhist logic (2nd - 6th centuries A.D.). The book analyzes the emergence of logic and its spread and early forms of its reflection. Consequently, logical competence is seen not as an innate ability, but as a social practice first established in Mesopotamia. Logic as a science became possible only after the development of logical competence as an accepted social practice. On the other hand, this view is a non-Marxist assessment of the early form of the world-system, centered on international law and logical competence, which made the world-economy and international trade then possible.

Handbook of Deep Learning in Biomedical Engineering and Health Informatics - Biomedical Engineering: Techniques and... Handbook of Deep Learning in Biomedical Engineering and Health Informatics - Biomedical Engineering: Techniques and Applications (Hardcover)
E. Golden Julie, Y. Harold Robinson, S. M. Jaisakthi
R3,963 Discovery Miles 39 630 Ships in 12 - 17 working days

Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies

A Simple Guide to Technology and Analytics (Hardcover): Brian J Evans A Simple Guide to Technology and Analytics (Hardcover)
Brian J Evans
R2,081 Discovery Miles 20 810 Ships in 12 - 17 working days

Everyday technology is constantly changing, and it's hard to keep up with it at times. What is all this talk about automation, STEM, analytics and super-computers, and how will it really affect my daily life at work and in the home? This book is a simple guide to everyday technology and analytics written in plain language. It starts with explaining how computer networks are increasing in speed so fast that we can do more in less time than ever before. It explains the analytical jargon in plain English and why robotics in the home will be aided by the new technology of the quantum computer. Richly furnished with over 200 illustrations, photos and with minimal equations, A Simple Guide to Technology and Analytics is a ready reference book for those times when you don't really understand the technology and analytics being talked about. It explains complicated topics such as automated character recognition in a very simple way, and has simple exercises for the reader to fully understand the technology (with answers at the back). It even has explanations on how home appliances work, which are very useful the next time you go shopping for a microwave or TV. Even the Glossary at the back can be used as a quick look-up explanation for those on the go.

Blockchain Applied - Practical Technology and Use Cases of Enterprise Blockchain for the Real World (Paperback): Stephen... Blockchain Applied - Practical Technology and Use Cases of Enterprise Blockchain for the Real World (Paperback)
Stephen Ashurst, Stefano Tempesta
R1,288 Discovery Miles 12 880 Ships in 12 - 17 working days

Blockchain is the popular name given to the exciting, evolving world of distributed ledger technology (DLT). Blockchains offer equitable and secure access to data, as well as transparency and immutability. Organisations can decide to use blockchain to upgrade whatever ledgers they are currently deploying (for example, relational databases, spreadsheets and cumbersome operating models) for their data and technology stack in terms of books and records, transactions, storage, production services and in many other areas. This book describes the applied use of blockchain technology in the enterprise world. Written by two expert practitioners in the field, the book is in two main parts: (1) an introduction to the history of, and a critical context explainer about, the emergence of blockchain written in natural language and providing a tour of the features, functionality and challenges of blockchain and DLT; and (2) a series of six applied organisational use cases in (i) trade finance, (ii) healthcare, (iii) retail savings & investments, (iv) real estate, (v) central bank digital currencies (CBDC) and (vi) fund management that offer the reader a straightforward, easy-to-read comparison between 'old world' technology (such as platforms, people and processes) versus what blockchain ledgers offer to enterprises and organisations in terms of improved efficiency, performance, security and access to business data. Blockchain is sometimes tainted by association to Bitcoin, Onecoin and others. But as cryptocurrencies and stock markets continue to rise and fall with volatility and the world economy emerges changed by coronavirus, working from home and the threat of inflation, many enterprises, organisations and governments are looking again at the powerful features of blockchain and wondering how DLT may help them adapt. This book is an ideal introduction to the practical and applied nature of blockchain and DLT solutions for business executives, business students, managers, C-suite senior leaders, software architects and policy makers and sets out, clearly and professionally, the benefits and challenges of the actual business applications of blockchain.

Supervised Machine Learning for Text Analysis in R (Hardcover): Emil Hvitfeldt, Julia Silge Supervised Machine Learning for Text Analysis in R (Hardcover)
Emil Hvitfeldt, Julia Silge
R4,088 Discovery Miles 40 880 Ships in 12 - 17 working days

How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data

Creating Value with Data Analytics in Marketing - Mastering Data Science (Hardcover, 2nd edition): Peter C. Verhoef, Edwin... Creating Value with Data Analytics in Marketing - Mastering Data Science (Hardcover, 2nd edition)
Peter C. Verhoef, Edwin Kooge, Natasha Walk, Jaap E. Wieringa
R4,665 Discovery Miles 46 650 Ships in 12 - 17 working days

The key competing texts are practitioner-focused 'how to' guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners

Modern Information Retrieval - The Concepts and Technology behind Search (Paperback, 2nd edition): Ricardo Baeza-Yates,... Modern Information Retrieval - The Concepts and Technology behind Search (Paperback, 2nd edition)
Ricardo Baeza-Yates, Berthier Ribeiro-Neto
R2,240 Discovery Miles 22 400 Ships in 9 - 15 working days

This is a rigorous and complete textbook for a first course on information retrieval from the computer science perspective. It provides an up-to-date student oriented treatment of information retrieval including extensive coverage of new topics such as web retrieval, web crawling, open source search engines and user interfaces.

From parsing to indexing, clustering to classification, retrieval to ranking, and user feedback to retrieval evaluation, all of the most important concepts are carefully introduced and exemplified. The contents and structure of the book have been carefully designed by the two main authors, with individual contributions coming from leading international authorities in the field, including Yoelle Maarek, Senior Director of Yahoo Research Israel; Dulce Ponceleon IBM Research; and Malcolm Slaney, Yahoo Research USA.

This completely reorganized, revised and enlarged second edition of "Modern Information Retrieval" contains many new chapters and double the number of pages and bibliographic references of the first edition, and a companion website www.mir2ed.org with teaching material. It will prove invaluable to students, professors, researchers, practitioners, and scholars of this fascinating field of information retrieval.

Cybersecurity - Ambient Technologies, IoT, and Industry 4.0 Implications (Hardcover): Gautam Kumar, Om Prakash Singh, Hemraj... Cybersecurity - Ambient Technologies, IoT, and Industry 4.0 Implications (Hardcover)
Gautam Kumar, Om Prakash Singh, Hemraj Saini
R3,908 Discovery Miles 39 080 Ships in 12 - 17 working days

It is becoming increasingly important to design and develop adaptive, robust, scalable, reliable, security and privacy mechanisms for IoT applications and for Industry 4.0 related concerns. This book serves as a useful guide for researchers and industry professionals and will help beginners to learn the basics to the more advanced topics. Along with exploring security and privacy issues through the IoT ecosystem and examining its implications to the real-world, this book addresses cryptographic tools and techniques and presents the basic and high-level concepts that can serve as guidance for those in the industry as well as help beginners get a handle on both the basic and advanced aspects of security related issues. The book goes on to cover major challenges, issues, and advances in IoT and discusses data processing as well as applications for solutions, and assists in developing self-adaptive cyberphysical security systems that will help with issues brought about by new technologies within IoT and Industry 4.0. This edited book discusses the evolution of IoT and Industry 4.0 and brings security and privacy related technological tools and techniques onto a single platform so that researchers, industry professionals, graduate, postgraduate students, and academicians can easily understand the security, privacy, challenges and opportunity concepts and make then ready to use for applications in IoT and Industry 4.0.

Blockchain for Big Data - AI, IoT and Cloud Perspectives (Hardcover): Shaoliang Peng Blockchain for Big Data - AI, IoT and Cloud Perspectives (Hardcover)
Shaoliang Peng
R1,948 Discovery Miles 19 480 Ships in 12 - 17 working days

In recent years, the fast-paced development of social information and networks has led to the explosive growth of data. A variety of big data have emerged, encouraging researchers to make business decisions by analysing this data. However, many challenges remain, especially concerning data security and privacy. Big data security and privacy threats permeate every link of the big data industry chain, such as data production, collection, processing, and sharing, and the causes of risk are complex and interwoven. Blockchain technology has been highly praised and recognised for its decentralised infrastructure, anonymity, security, and other characteristics, and it will change the way we access and share information. In this book, the author demonstrates how blockchain technology can overcome some limitations in big data technology and can promote the development of big data while also helping to overcome security and privacy challenges. The author investigates research into and the application of blockchain technology in the field of big data and assesses the attendant advantages and challenges while discussing the possible future directions of the convergence of blockchain and big data. After mastering concepts and technologies introduced in this work, readers will be able to understand the technical evolution, similarities, and differences between blockchain and big data technology, allowing them to further apply it in their development and research. Author: Shaoliang Peng is the Executive Director and Professor of the College of Computer Science and Electronic Engineering, National Supercomputing Centre of Hunan University, Changsha, China. His research interests are high-performance computing, bioinformatics, big data, AI, and blockchain.

Data Science Without Makeup - A Guidebook for End-Users, Analysts, and Managers (Paperback): Mikhail Zhilkin Data Science Without Makeup - A Guidebook for End-Users, Analysts, and Managers (Paperback)
Mikhail Zhilkin
R815 Discovery Miles 8 150 Ships in 12 - 17 working days

- The book shows you what 'data science' actually is and focuses uniquely on how to minimize the negatives of (bad) data science - It discusses the actual place of data science in a variety of companies, and what that means for the process of data science - It provides 'how to' advice to both individuals and managers - It takes a critical approach to data science and provides widely-relatable examples

Security of Internet of Things Nodes - Challenges, Attacks, and Countermeasures (Hardcover): Chinmay Chakraborty, Sree Ranjani... Security of Internet of Things Nodes - Challenges, Attacks, and Countermeasures (Hardcover)
Chinmay Chakraborty, Sree Ranjani Rajendran, Muhammad Habibur Rehman
R4,516 Discovery Miles 45 160 Ships in 12 - 17 working days

The book Security of Internet of Things Nodes: Challenges, Attacks, and Countermeasures (R) covers a wide range of research topics on the security of the Internet of Things nodes along with the latest research development in the domain of Internet of Things. It also covers various algorithms, techniques, and schemes in the field of computer science with state-of-the-art tools and technologies. This book mainly focuses on the security challenges of the Internet of Things devices and the countermeasures to overcome security vulnerabilities. Also, it highlights trust management issues on the Internet of Things nodes to build secured Internet of Things systems. The book also covers the necessity of a system model for the Internet of Things devices to ensure security at the hardware level.

Public Policy Analytics - Code and Context for Data Science in Government (Paperback): Ken Steif Public Policy Analytics - Code and Context for Data Science in Government (Paperback)
Ken Steif
R1,430 Discovery Miles 14 300 Ships in 12 - 17 working days

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand 'spatial process' and develop spatial analytics; how to develop 'useful' predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and 'Planning' are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

Developing an Enterprise Continuity Program (Hardcover): Sergei Petrenko Developing an Enterprise Continuity Program (Hardcover)
Sergei Petrenko
R3,470 Discovery Miles 34 700 Ships in 10 - 15 working days

The book discusses the activities involved in developing an Enterprise Continuity Program (ECP) that will cover both Business Continuity Management (BCM) as well as Disaster Recovery Management (DRM). The creation of quantitative metrics for BCM are discussed as well as several models and methods that correspond to the goals and objectives of the International Standards Organisation (ISO) Technical Committee ISO/TC 292 ""Security and resilience". Significantly, the book contains the results of not only qualitative, but also quantitative, measures of Cyber Resilience which for the first time regulates organizations' activities on protecting their critical information infrastructure. The book discusses the recommendations of the ISO 22301: 2019 standard "Security and resilience - Business continuity management systems - Requirements" for improving the BCM of organizations based on the well-known "Plan-Do-Check-Act" (PDCA) model. It also discusses the recommendations of the following ISO management systems standards that are widely used to support BCM. The ISO 9001 standard ""Quality Management Systems""; ISO 14001 ""Environmental Management Systems""; ISO 31000 ""Risk Management"", ISO/IEC 20000-1 ""Information Technology - Service Management"", ISO/IEC 27001 ""Information Management security systems", ISO 28000 "Specification for security management systems for the supply chain", ASIS ORM.1-2017, NIST SP800-34, NFPA 1600: 2019, COBIT 2019, RESILIA, ITIL V4 and MOF 4.0, etc. The book expands on the best practices of the British Business Continuity Institute's Good Practice Guidelines (2018 Edition), along with guidance from the Disaster Recovery Institute's Professional Practices for Business Continuity Management (2017 Edition). Possible methods of conducting ECP projects in the field of BCM are considered in detail. Based on the practical experience of the author there are examples of Risk Assessment (RA) and Business Impact Analysis (BIA), examples of Business Continuity Plans (BCP) & Disaster Recovery Plans (DRP) and relevant BCP & DRP testing plans. This book will be useful to Chief Information Security Officers, internal and external Certified Information Systems Auditors, senior managers within companies who are responsible for ensuring business continuity and cyber stability, as well as teachers and students of MBA's, CIO and CSO programs.

Data Science and Its Applications (Hardcover): Aakanksha Sharaff, G. R. Sinha Data Science and Its Applications (Hardcover)
Aakanksha Sharaff, G. R. Sinha
R5,405 Discovery Miles 54 050 Ships in 12 - 17 working days

The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.

Machine Learning for Time Series Forecasting with Python (Paperback): F Lazzeri Machine Learning for Time Series Forecasting with Python (Paperback)
F Lazzeri
R1,025 Discovery Miles 10 250 Ships in 12 - 17 working days

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models' performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.

Understanding the Blockchain Economy - An Introduction to Institutional Cryptoeconomics (Hardcover): Chris Berg, Sinclair... Understanding the Blockchain Economy - An Introduction to Institutional Cryptoeconomics (Hardcover)
Chris Berg, Sinclair Davidson, Jason Potts
R2,825 Discovery Miles 28 250 Ships in 12 - 17 working days

Offering the first scholarly analysis of the economic nature of blockchains and the formation of the blockchain economy, this timely book explores the future of global capitalism. Applying the institutional economics of Ronald Coase and Oliver Williamson, the authors highlight how blockchains are poised to reshape the nature of firms, governments, markets and civil society. Chapters apply basic economic principles to explore blockchains and distributed ledger technologies through the framework of institutional economics. The book suggests ways in which cryptocurrencies such as Bitcoin may develop further in the future, bringing us back to a barter economy which removes the need for a third person in economic transactions. Outlining a ledger-centric view of the economy, the authors explore how blockchains and dehierarchalisation will reduce the demand for government regulation. Institutional economists and scholars will greatly appreciate the thorough analysis of the development of institutional cryptoeconomics and insight into the future of blockchains that this book offers. Computer and technology scientists will also find this book to be a valuable read, as well as those working specifically in the blockchain industry.

Cognitive Hack - The New Battleground in Cybersecurity ... the Human Mind (Paperback): James Bone Cognitive Hack - The New Battleground in Cybersecurity ... the Human Mind (Paperback)
James Bone
R1,233 Discovery Miles 12 330 Ships in 12 - 17 working days

This book explores a broad cross section of research and actual case studies to draw out new insights that may be used to build a benchmark for IT security professionals. This research takes a deeper dive beneath the surface of the analysis to uncover novel ways to mitigate data security vulnerabilities, connect the dots and identify patterns in the data on breaches. This analysis will assist security professionals not only in benchmarking their risk management programs but also in identifying forward looking security measures to narrow the path of future vulnerabilities.

Big Data, Political Campaigning and the Law - Democracy and Privacy in the Age of Micro-Targeting (Paperback): Normann Witzleb,... Big Data, Political Campaigning and the Law - Democracy and Privacy in the Age of Micro-Targeting (Paperback)
Normann Witzleb, Moira Paterson, Janice Richardson
R1,241 Discovery Miles 12 410 Ships in 12 - 17 working days

In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practices should be regulated. The rise of big data analytics in the political process has triggered official investigations in many countries around the world, and become the subject of broad and intense debate. Political parties increasingly rely on data analytics to profile the electorate and to target specific voter groups with individualised messages based on their demographic attributes. Political micro-targeting has become a major factor in modern campaigning, because of its potential to influence opinions, to mobilise supporters and to get out votes. The book explores the legal, philosophical and political dimensions of big data analytics in the electoral process. It demonstrates that the unregulated use of big personal data for political purposes not only infringes voters' privacy rights, but also has the potential to jeopardise the future of the democratic process, and proposes reforms to address the key regulatory and ethical questions arising from the mining, use and storage of massive amounts of voter data. Providing an interdisciplinary assessment of the use and regulation of big data in the political process, this book will appeal to scholars from law, political science, political philosophy and media studies, policy makers and anyone who cares about democracy in the age of data-driven political campaigning.

Entrepreneurship and Big Data - The Digital Revolution (Hardcover): Meghna Chhabra, Rohail Hassan, Amjad Shamim Entrepreneurship and Big Data - The Digital Revolution (Hardcover)
Meghna Chhabra, Rohail Hassan, Amjad Shamim
R4,661 Discovery Miles 46 610 Ships in 12 - 17 working days

Presents how to create an effective entrepreneurship business plan Provides an overview of various aspects of entrepreneurship, function and the contemporary forms Offers a real-world understand of the entrepreneurial world with new analytics thinking and what computational skills are needed for the newer generation in handling big data challenges Encompasses the concepts which an entrepreneur must know before embarking on an entrepreneurial journey Includes inspirational case studies from "Change Leaders".

Computational Statistics Handbook with MATLAB (Paperback, 3rd edition): Wendy L. Martinez, Angel R. Martinez Computational Statistics Handbook with MATLAB (Paperback, 3rd edition)
Wendy L. Martinez, Angel R. Martinez
R1,518 Discovery Miles 15 180 Ships in 12 - 17 working days

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB (R), Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods. New to the Third EditionThis third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines. Web ResourceThe authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.

ECPPM 2021 - eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 13th European Conference on... ECPPM 2021 - eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the 13th European Conference on Product & Process Modelling (ECPPM 2021), 15-17 September 2021, Moscow, Russia (Hardcover)
Vitaly Semenov, Raimar J. Scherer
R5,726 Discovery Miles 57 260 Ships in 12 - 17 working days

eWork and eBusiness in Architecture, Engineering and Construction 2021 collects the papers presented at the 13th European Conference on Product and Process Modelling (ECPPM 2021, Moscow, 5-7 May 2021). The contributions cover a wide spectrum of thematic areas that hold great promise towards the advancement of research and technological development targeted at the digitalization of the AEC/FM (Architecture, Engineering, Construction and Facilities Management) domains. High quality contributions are devoted to critically important problems that arise, including: Information and Knowledge Management Semantic Web and Linked Data Communication and Collaboration Technologies Software Interoperability BIM Servers and Product Lifecycle Management Systems Digital Twins and Cyber-Physical Systems Sensors and Internet of Things Big Data Artificial and Augmented Intelligence in AEC Construction Management 5D/nD Modelling and Planning Building Performance Simulation Contract, Cost and Risk Management Safety and Quality Sustainable Buildings and Urban Environments Smart Buildings and Cities BIM Standardization, Implementation and Adoption Regulatory and Legal Aspects BIM Education and Training Industrialized Production, Smart Products and Services Over the past quarter century, the biennial ECPPM conference series, as the oldest BIM conference, has provided researchers and practitioners with a unique platform to present and discuss the latest developments regarding emerging BIM technologies and complementary issues for their adoption in the AEC/FM industry.

Blockchain Applied - Practical Technology and Use Cases of Enterprise Blockchain for the Real World (Hardcover): Stephen... Blockchain Applied - Practical Technology and Use Cases of Enterprise Blockchain for the Real World (Hardcover)
Stephen Ashurst, Stefano Tempesta
R4,073 Discovery Miles 40 730 Ships in 12 - 17 working days

Blockchain is the popular name given to the exciting, evolving world of distributed ledger technology (DLT). Blockchains offer equitable and secure access to data, as well as transparency and immutability. Organisations can decide to use blockchain to upgrade whatever ledgers they are currently deploying (for example, relational databases, spreadsheets and cumbersome operating models) for their data and technology stack in terms of books and records, transactions, storage, production services and in many other areas. This book describes the applied use of blockchain technology in the enterprise world. Written by two expert practitioners in the field, the book is in two main parts: (1) an introduction to the history of, and a critical context explainer about, the emergence of blockchain written in natural language and providing a tour of the features, functionality and challenges of blockchain and DLT; and (2) a series of six applied organisational use cases in (i) trade finance, (ii) healthcare, (iii) retail savings & investments, (iv) real estate, (v) central bank digital currencies (CBDC) and (vi) fund management that offer the reader a straightforward, easy-to-read comparison between 'old world' technology (such as platforms, people and processes) versus what blockchain ledgers offer to enterprises and organisations in terms of improved efficiency, performance, security and access to business data. Blockchain is sometimes tainted by association to Bitcoin, Onecoin and others. But as cryptocurrencies and stock markets continue to rise and fall with volatility and the world economy emerges changed by coronavirus, working from home and the threat of inflation, many enterprises, organisations and governments are looking again at the powerful features of blockchain and wondering how DLT may help them adapt. This book is an ideal introduction to the practical and applied nature of blockchain and DLT solutions for business executives, business students, managers, C-suite senior leaders, software architects and policy makers and sets out, clearly and professionally, the benefits and challenges of the actual business applications of blockchain.

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