Ten Daat

Author : Shalom Carmy
Publisher : Rowman & Littlefield
ISBN 13 : 1568214502
Total Pages : 318 pages
Book Rating : 4.04/5 ( download)

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Download or read book Modern Scholarship in the Study of Torah written by Shalom Carmy and published by Rowman & Littlefield. This book was released on 1996 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The principal thrust of this book is to discover whether, and to what extent, the methods of modern scholarship can become part and parcel of the study of Torah.

Author : S. Daniel Breslauer
Publisher : State University of New York Press
ISBN 13 : 0791497445
Total Pages : 328 pages
Book Rating : 4.49/5 ( download)

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Download or read book The Seductiveness of Jewish Myth written by S. Daniel Breslauer and published by State University of New York Press. This book was released on 2012-02-01 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Seductiveness of Jewish Myth offers a panorama of diverse definitions of myth, understandings of Judaism, and competing evaluations of the "mythic" element in religion. The contributors focus on the problem of defining myth as a category in religious studies, examine modern religion and the role of myth in a "secularized" world, and look at specific cases of Jewish myth from biblical through modern times.

Author : Vincent S. Tseng
Publisher : Springer
ISBN 13 : 3319066056
Total Pages : 651 pages
Book Rating : 4.59/5 ( download)

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Download or read book Advances in Knowledge Discovery and Data Mining written by Vincent S. Tseng and published by Springer. This book was released on 2014-05-08 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 0429820917
Total Pages : 426 pages
Book Rating : 4.15/5 ( download)

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Download or read book Data Analytics written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2018-09-21 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Author : Lloyd P. Provost
Publisher : John Wiley & Sons
ISBN 13 : 1119690129
Total Pages : 659 pages
Book Rating : 4.22/5 ( download)

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Download or read book The Health Care Data Guide written by Lloyd P. Provost and published by John Wiley & Sons. This book was released on 2022-05-26 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Essential text on transforming raw data into concrete health care improvements Now in its second edition, The Health Care Data Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. This book is the perfect companion resource to The Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. The Health Care Data Guide: Learning from Data for Improvement, Second Edition provides: Easy to use strategies for learning more readily from existing health care data Clear guidance on the most useful graph for different types of data used in health care A step-by-step method for making use of highly aggregated data for improvement Examples of using patient-level data in care Multiple methods for making use of patient and other feedback data A vastly better way to view data for executive leadership Solutions for working with rare events data, seasonality and other pesky issues Use of improvement methods with epidemic data Improvement case studies using data for learning A must read resource for those committed to improving health care including allied health professionals in all aspects of health care, physicians, managers, health care leaders, and researchers.

Author : Olaf Behnke
Publisher : John Wiley & Sons
ISBN 13 : 3527653430
Total Pages : 452 pages
Book Rating : 4.30/5 ( download)

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Download or read book Data Analysis in High Energy Physics written by Olaf Behnke and published by John Wiley & Sons. This book was released on 2013-08-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems. The basic methods for inferring results from data are presented as well as tools for advanced tasks such as improving the signal-to-background ratio, correcting detector effects, determining systematics and many others. Concrete applications are discussed in analysis walkthroughs. Each chapter is supplemented by numerous examples and exercises and by a list of literature and relevant links. The book targets a broad readership at all career levels - from students to senior researchers. An accompanying website provides more algorithms as well as up-to-date information and links. * Free solutions manual available for lecturers at www.wiley-vch.de/supplements/

Author : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1119547644
Total Pages : 496 pages
Book Rating : 4.48/5 ( download)

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Download or read book Python for Data Science For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2019-01-25 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Author : Srinath Srinivasa
Publisher : Springer Science & Business Media
ISBN 13 : 3642355420
Total Pages : 192 pages
Book Rating : 4.24/5 ( download)

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Download or read book Big Data Analytics written by Srinath Srinivasa and published by Springer Science & Business Media. This book was released on 2012-12-15 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Big Data Analytics, BDA 2012, held in New Delhi, India, in December 2012. The 5 regular papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. The volume also contains two tutorial papers in the section perspectives on big data analytics. The regular contributions are organized in topical sections on: data analytics applications; knowledge discovery through information extraction; and data models in analytics.

Author : Paul McFedries
Publisher : John Wiley & Sons
ISBN 13 : 1119518202
Total Pages : 356 pages
Book Rating : 4.04/5 ( download)

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Download or read book Excel Data Analysis For Dummies written by Paul McFedries and published by John Wiley & Sons. This book was released on 2018-10-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you.

Author : Wing Kam Liu
Publisher : Springer Nature
ISBN 13 : 3030878325
Total Pages : 287 pages
Book Rating : 4.20/5 ( download)

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Download or read book Mechanistic Data Science for STEM Education and Applications written by Wing Kam Liu and published by Springer Nature. This book was released on 2022-01-01 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems. Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3) knowledge-driven dimension reduction, 4) reduced order surrogate models, 5) deep learning for regression and classification, and 6) system and design. These data science and mechanistic analysis steps are presented in an intuitive manner that emphasizes practical concepts for solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for engineering and data science undergraduate and graduate students, practicing scientists and engineers, as well as STEM (Science, Technology, Engineering, Mathematics) high school students and teachers.