Quantitative Analysis for System Applications: Data Science and Analytics Tools and Techniques, Paperback - Daniel McGrath

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Harness data within the supply chain using this accessible guide on how to examine, evaluate and apply business analytics models.

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A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information manag...

Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tra...

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Reducere. If you want to learn about data analytics and data mining then keep reading...2 comprehensive manuscripts in 1 book Data Analytics: An Essential Be...

The 10th edition of Quantitative Chemical Analysis continues to set the standard for learning analytical chemistry with distinguished writing, the ...

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Publisher: Elsevier Science & TechnologyIllustration(s): Approx. 220 illustrations (20 in full color); Illustrations, unspecifiedNumber of pages: 2...

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is ...

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Publisher: Taylor & Francis LtdIllustration(s): 150 Illustrations, black and whiteNumber of pages: 344Publication date: 2021Dimensions: 155 x 236 x...

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Publisher: Taylor & Francis LtdAuthor(s): Youngjin (Pitney Bowes, Acadia Ln, Shelton, CT, United States) YoonIllustration(s): 40 Line drawings, bla...

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Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and...

This textbook provides a truly unique introduction that integrates the concepts and methods of optics, molecular and cellular biology, image analys...

Machine Learning is an integral tool in a business analyst's arsenal because the rate at which data is being generated from different sources is in...

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With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or dat...

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If you are looking to master the fundamental concepts of Data Science driven by the Python programming language to develop a solid understanding of...

The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and th...

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Analytics projects have a great deal of complexity, which can be hidden and needs to be considered. This book is a guide to evaluating and setting ...

Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to th...

Publisher: Elsevier Science & TechnologyAuthor(s): William (Professor, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA)...

Publisher: Taylor & Francis LtdAuthor(s): G. David GarsonIllustration(s): 163 Halftones, color; 163 Illustrations, colorNumber of pages: 686Publica...

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science an...

This textbook is designed to enable students with little knowledge of mathematical analysis to engage with modern quantitative finance. The exposit...

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The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in rece...

Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range f...

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Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developer...