Modern Analytics Methodologies

Modern Analytics Methodologies Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Modern Analytics Methodologies book. This book definitely worth reading, it is an incredibly well-written.

Modern Analytics Methodologies

Michele Chambers,Thomas W Dinsmore

Author : Michele Chambers,Thomas W Dinsmore
Publisher : Pearson Education
Page : 272 pages
File Size : 51,6 Mb
Release : 2014-07-09
Category : Business & Economics
ISBN : 9780133498837

Get Book

Modern Analytics Methodologies by Michele Chambers,Thomas W Dinsmore Pdf

Create a complete roadmap for capitalizing on analytics to grow topline revenue and build shareholder value in your unique organization! Modern Analytics Methodologies goes far beyond the classic Analytics Maturity Model to help you overcome the gaps between your current analytics capabilities and where you need to go. Pioneering analytics experts Michele Chambers and Thomas Dinsmore help you implement analytics that supports your strategy, aligns with your culture, and serves your customers and stakeholders. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. Writing for both professionals and students, they show how to: Leverage the convergence of macro trends ranging from "flattening" and "green" to Big Data and machine learning Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies Modern Analytics Methodologies will be an indispensable resource for any executive or professional concerned with analytics, including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and line-of-business executives.

Advanced Analytics Methodologies

Michele Chambers,Thomas W Dinsmore

Author : Michele Chambers,Thomas W Dinsmore
Publisher : Pearson Education
Page : 337 pages
File Size : 47,9 Mb
Release : 2014-08-27
Category : Business & Economics
ISBN : 9780133498646

Get Book

Advanced Analytics Methodologies by Michele Chambers,Thomas W Dinsmore Pdf

Advanced Analytics Methodologies is today's definitive guide to analytics implementation for MBA and university-level business students and sophisticated practitioners. Its expanded, cutting-edge coverage helps readers systematically "jump the gap" between their organization's current analytical capabilities and where they need to be. Step by step, Michele Chambers and Thomas Dinsmore help readers customize a complete roadmap for implementing analytics that supports unique corporate strategies, aligns with specific corporate cultures, and serves unique customer and stakeholder communities. Drawing on work with dozens of leading enterprises, Michele Chambers and Thomas Dinsmore provide advanced applications and examples not available elsewhere, describe high-value applications from many industries, and help you systematically identify and deliver on your company's best opportunities. They show how to: Go beyond the Analytics Maturity Model: power your unique business strategy with an equally focused analytics strategy Link key business objectives with core characteristics of your organization, value chain, and stakeholders Take advantage of game changing opportunities before competitors do Effectively integrate the managerial and operational aspects of analytics Measure performance with dashboards, scorecards, visualization, simulation, and more Prioritize and score prospective analytics projects Identify "Quick Wins" you can implement while you're planning for the long-term Build an effective Analytic Program Office to make your roadmap persistent Update and revise your roadmap for new needs and technologies This advanced text will serve the needs of students and faculty studying cutting-edge analytics techniques, as well as experienced analytics leaders and professionals including Chief Analytics Officers; Chief Data Officers; Chief Scientists; Chief Marketing Officers; Chief Risk Officers; Chief Strategy Officers; VPs of Analytics or Big Data; data scientists; business strategists; and many line-of-business executives.

Big Data Analytics Methods

Peter Ghavami

Author : Peter Ghavami
Publisher : Createspace Independent Publishing Platform
Page : 304 pages
File Size : 45,7 Mb
Release : 2016-03-06
Category : Electronic
ISBN : 1530414830

Get Book

Big Data Analytics Methods by Peter Ghavami Pdf

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods are covered. The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. This book is ideal as a text book for a course or as a reference for data scientists, data engineers, data analysts, Business intelligence practitioners, and business managers. It covers 10 chapters that discuss natural language processing (NLP), data visualization, prediction, optimization, artificial intelligence, regression analysis, cox hazard model and many analytics use case examples with applications in healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services. Big Data Analytics Methods Is a must read for those who wish to gain confidence and knowledge about big data and advanced analytics techniques. Read this book and confidently speak, lead and guide others about machine learning, neural networks, NLP, deep learning, and over 100 other analytics techniques. This book is fun and easy to read. It starts with simple and broad explanation of methods and gradually introduces more technical terms and techniques layer by layer. It finally introduces the underlying mathematical terms for those who want a mathematical foundation of the analytics methods. This book is one of a kind as it provides state of the art in advanced data analytics methods with important best practices to ensure the reader's success in data analytics.

Modern Analytical Methodologies in Fat- and Water-Soluble Vitamins

Won O. Song,Gary R. Beecher,Ronald R. Eitenmiller

Author : Won O. Song,Gary R. Beecher,Ronald R. Eitenmiller
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 49,7 Mb
Release : 2000-03-27
Category : Science
ISBN : 9780471179429

Get Book

Modern Analytical Methodologies in Fat- and Water-Soluble Vitamins by Won O. Song,Gary R. Beecher,Ronald R. Eitenmiller Pdf

This self-contained book provides modern and practical analytical methodologies for the assays in foods, pharmaceuticals and clinical samples. It covers the fat-soluble Vitamins: A, beta-carotene, D, E and K as well as the water soluble vitamins, C, folate, thiamin, biotin, pyridoxin and cyancobalims.

Process Analytics

Seyed-Mehdi-Reza Beheshti,Boualem Benatallah,Sherif Sakr,Daniela Grigori,Hamid Reza Motahari-Nezhad,Moshe Chai Barukh,Ahmed Gater,Seung Hwan Ryu

Author : Seyed-Mehdi-Reza Beheshti,Boualem Benatallah,Sherif Sakr,Daniela Grigori,Hamid Reza Motahari-Nezhad,Moshe Chai Barukh,Ahmed Gater,Seung Hwan Ryu
Publisher : Springer
Page : 178 pages
File Size : 50,8 Mb
Release : 2016-03-28
Category : Computers
ISBN : 9783319250373

Get Book

Process Analytics by Seyed-Mehdi-Reza Beheshti,Boualem Benatallah,Sherif Sakr,Daniela Grigori,Hamid Reza Motahari-Nezhad,Moshe Chai Barukh,Ahmed Gater,Seung Hwan Ryu Pdf

This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.

Disruptive Analytics

Thomas W. Dinsmore

Author : Thomas W. Dinsmore
Publisher : Apress
Page : 276 pages
File Size : 48,5 Mb
Release : 2016-08-27
Category : Computers
ISBN : 9781484213117

Get Book

Disruptive Analytics by Thomas W. Dinsmore Pdf

Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Modern Meta-Analysis

Ton J. Cleophas,Aeilko H. Zwinderman

Author : Ton J. Cleophas,Aeilko H. Zwinderman
Publisher : Springer
Page : 314 pages
File Size : 40,7 Mb
Release : 2017-05-02
Category : Medical
ISBN : 9783319558950

Get Book

Modern Meta-Analysis by Ton J. Cleophas,Aeilko H. Zwinderman Pdf

Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research. The authors have published over twenty innovative meta-analyses from the turn of the century till now. This edition will review the current state of the art, and will use for that purpose the methodological aspects of the authors' own publications, in addition to other relevant methodological issues from the literature. Are there alternative works in the field? Yes, there are, particularly in the field of psychology. Psychologists have invented meta-analyses in 1970, and have continuously updated methodologies. Although very interesting, their work, just like the whole discipline of psychology, is rather explorative in nature, and so is their focus to meta-analysis. Then, there is the field of epidemiologists. Many of them are from the school of angry young men, who publish shocking news all the time, and JAMA and other publishers are happy to publish it. The reality is, of course, that things are usually not as bad as they seem. Finally, some textbooks, written by professional statisticians, tend to use software programs with miserable menu programs and requiring lots of syntax to be learnt. This is prohibitive to clinical and other health professionals. The current edition is the first textbook in the field of meta-analysis entirely written by two clinical scientists, and it consists of many data examples and step by step analyses, mostly from the authors' own clinical research.

Data Mining for Business Analytics

Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel

Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
Publisher : John Wiley & Sons
Page : 610 pages
File Size : 49,8 Mb
Release : 2019-11-05
Category : Mathematics
ISBN : 9781119549840

Get Book

Data Mining for Business Analytics by Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel Pdf

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Soil Analysis

K. I. Peverill,L. A. Sparrow,D. J. Reuter

Author : K. I. Peverill,L. A. Sparrow,D. J. Reuter
Publisher : CSIRO PUBLISHING
Page : 427 pages
File Size : 55,9 Mb
Release : 1999
Category : Electronic books
ISBN : 9780643063761

Get Book

Soil Analysis by K. I. Peverill,L. A. Sparrow,D. J. Reuter Pdf

A practical guide to soil tests for Australian soils and conditions.

Digital Exhaust

Dale Neef

Author : Dale Neef
Publisher : Pearson Education
Page : 320 pages
File Size : 47,5 Mb
Release : 2014-11-05
Category : Business & Economics
ISBN : 9780133838343

Get Book

Digital Exhaust by Dale Neef Pdf

Will "Big Data" supercharge the economy, tyrannize us, or both? Data Exhaust is the definitive primer for everyone who wants to understand all the implications of Big Data, digitally driven innovation, and the accelerating Internet Economy. Renowned digital expert Dale Neef clearly explains: What Big Data really is, and what's new and different about it How Big Data works, and what you need to know about Big Data technologies Where the data is coming from: how Big Data integrates sources ranging from social media to machine sensors, smartphones to financial transactions How companies use Big Data analytics to gain a more nuanced, accurate picture of their customers, their own performance, and the newest trends How governments and individual citizens can also benefit from Big Data How to overcome obstacles to success with Big Data – including poor data that can magnify human error A realistic assessment of Big Data threats to employment and personal privacy, now and in the future Neef places the Big Data phenomenon where it belongs: in the context of the broader global shift to the Internet economy, with all that implies. By doing so, he helps businesses plan Big Data strategy more effectively – and helps citizens and policymakers identify sensible policies for preventing its misuse. By conservative estimate, the global Big Data market will soar past $50 billion by 2018. But those direct expenses represent just the "tip of the iceberg" when it comes to Big Data's impact. Big Data is now of acute strategic interest for every organization that aims to succeed – and it is equally important to everyone else. Whoever you are, Data Exhaust tells you exactly what you need to know about Big Data – and what to do about it, too.

Causal Analytics for Applied Risk Analysis

Louis Anthony Cox Jr.,Douglas A. Popken,Richard X. Sun

Author : Louis Anthony Cox Jr.,Douglas A. Popken,Richard X. Sun
Publisher : Springer
Page : 588 pages
File Size : 51,9 Mb
Release : 2018-06-19
Category : Business & Economics
ISBN : 9783319782423

Get Book

Causal Analytics for Applied Risk Analysis by Louis Anthony Cox Jr.,Douglas A. Popken,Richard X. Sun Pdf

Causal analytics methods can revolutionize the use of data to make effective decisions by revealing how different choices affect probabilities of various outcomes. This book presents and illustrates models, algorithms, principles, and software for deriving causal models from data and for using them to optimize decisions with uncertain outcomes. It discusses how to describe and summarize situations; detect changes; evaluate effects of policies or interventions; learn what works best under different conditions; predict values of as-yet unobserved quantities from available data; and identify the most likely explanations for observed outcomes, including surprises and anomalies. The book resents practical techniques for causal modeling and analytics that practitioners can apply to improve understanding of how choices affect probabilities of consequences and, based on this understanding, to recommend choices that are more likely to accomplish their intended objectives.The book begins with a survey of modern analytics methods, focusing mainly on techniques useful for decision, risk, and policy analysis. Chapter 2 introduces free in-browser software, including the Causal Analytics Toolkit (CAT) software, to enable readers to perform the analyses described and to apply modern analytics methods easily to their own data sets. Chapters 3 through 11 show how to apply causal analytics and risk analytics to practical risk analysis challenges, mainly related to public and occupational health risks from pathogens in food or from pollutants in air. Chapters 12 through 15 turn to broader questions of how to improve risk management decision-making by individuals, groups, organizations, institutions, and multi-generation societies with different cultures and norms for cooperation. These chapters examine organizational learning, community resilience, societal risk management, and intergenerational collaboration and justice in managing risks.

Big Data Analytics Methods

Peter Ghavami

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
Page : 282 pages
File Size : 42,9 Mb
Release : 2019-12-16
Category : Business & Economics
ISBN : 9781547401581

Get Book

Big Data Analytics Methods by Peter Ghavami Pdf

Analytics and Knowledge Management

Suliman Hawamdeh,Hsia-Ching Chang

Author : Suliman Hawamdeh,Hsia-Ching Chang
Publisher : CRC Press
Page : 333 pages
File Size : 54,9 Mb
Release : 2018-08-06
Category : Computers
ISBN : 9781351806992

Get Book

Analytics and Knowledge Management by Suliman Hawamdeh,Hsia-Ching Chang Pdf

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Data Analysis Methods in Physical Oceanography

Richard E. Thomson,William J. Emery

Author : Richard E. Thomson,William J. Emery
Publisher : Elsevier
Page : 654 pages
File Size : 45,6 Mb
Release : 2001-04-03
Category : Science
ISBN : 9780080477008

Get Book

Data Analysis Methods in Physical Oceanography by Richard E. Thomson,William J. Emery Pdf

Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references. Featuring:• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.• A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

Real-Time Analytics

Byron Ellis

Author : Byron Ellis
Publisher : CreateSpace
Page : 436 pages
File Size : 48,7 Mb
Release : 2014-09-30
Category : Computers
ISBN : 1502553163

Get Book

Real-Time Analytics by Byron Ellis Pdf

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.

Modern Analytics Methodologies

Modern Analytics Methodologies by Michele Chambers,Thomas W Dinsmore Pdf

Advanced Analytics Methodologies by Michele Chambers,Thomas W Dinsmore Pdf

Big Data Analytics Methods by Peter Ghavami Pdf

Modern Analytical Methodologies in Fat- and Water-Soluble Vitamins by Won O. Song,Gary R. Beecher,Ronald R. Eitenmiller Pdf

Process Analytics by Seyed-Mehdi-Reza Beheshti,Boualem Benatallah,Sherif Sakr,Daniela Grigori,Hamid Reza Motahari-Nezhad,Moshe Chai Barukh,Ahmed Gater,Seung Hwan Ryu Pdf

Disruptive Analytics by Thomas W. Dinsmore Pdf

Modern Meta-Analysis by Ton J. Cleophas,Aeilko H. Zwinderman Pdf

Data Mining for Business Analytics by Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel Pdf

Soil Analysis by K. I. Peverill,L. A. Sparrow,D. J. Reuter Pdf

Digital Exhaust by Dale Neef Pdf

Causal Analytics for Applied Risk Analysis by Louis Anthony Cox Jr.,Douglas A. Popken,Richard X. Sun Pdf

Big Data Analytics Methods by Peter Ghavami Pdf

Analytics and Knowledge Management by Suliman Hawamdeh,Hsia-Ching Chang Pdf

Data Analysis Methods in Physical Oceanography by Richard E. Thomson,William J. Emery Pdf

Real-Time Analytics by Byron Ellis Pdf

Recent Posts