Advanced Analytics with Spark: Patterns for Learning from Data at Scale 2nd Edition, ISBN-13: 978-1491972953 [PDF eBook eTextbook] Publisher: O’Reilly Media; 2nd edition (July 18, 2017) Language: English 280 pages ISBN-10: 9781491972953 ISBN-13: 978-1491972953 In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you…
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Learning Spark: Lightning-Fast Data Analytics 2nd Edition by Jules S. Damji, ISBN-13: 978-1492050049 [PDF eBook eTextbook] Publisher: O’Reilly Media; 2nd edition (August 11, 2020) Language: English 400 pages ISBN-10: 1492050040 ISBN-13: 978-1492050049 Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark…
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Vector Calculus, Linear Algebra, and Differential Forms 5th Edition, ISBN-13: 978-0971576681 [PDF eBook eTextbook] Publisher: Matrix Editions; 5th edition (January 1, 2015) Language: English 818 pages ISBN-10: 0971576688 ISBN-13: 978-0971576681 This text covers most of the standard topics in multivariate calculus and part of a standard first course in linear algebra. It focuses on underlying ideas, integrates theory and applications, offers a host of pedagogical aids, and features coverage of differential forms and…
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Introduction to Linear Algebra 5th Edition by Gilbert Strang, ISBN-13: 978-0980232776 [PDF eBook eTextbook] Publisher: Wellesley-Cambridge Press; 5th edition (May 1, 2016) Language: English 600 pages (LARGE FILE: 60 MB) ISBN-10: 0980232775 ISBN-13: 978-0980232776 The fifth edition of this hugely successful textbook retains all the qualities of earlier editions while also seeing many minor improvements and major additions. Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from…
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Machine Learning: A Probabilistic Perspective by Kevin P. Murphy, ISBN-13: 978-0262018029 [PDF eBook eTextbook] Publisher: The MIT Press; Illustrated edition (August 24, 2012) Language: English 1104 pages ISBN-10: 0262018020 ISBN-13: 978-0262018029 Reading age: 18 years and up Part of: Adaptive Computation and Machine Learning. A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today’s Web-enabled deluge of electronic data calls for automated methods of data…
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Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, ISBN-13: 978-3319500164 [PDF eBook eTextbook] Publisher: Springer; 1st ed. 2017 edition (March 2, 2017) Language: English 232 pages ISBN-10: 3319500163 ISBN-13: 978-3319500164 This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming,…
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Data Science and Predictive Analytics Biomedical and Health Applications using R, ISBN-13: 978-3319723464 [PDF eBook eTextbook] Publisher: Springer; 1st ed. 2018 edition (September 14, 2018) Language: English 866 pages ISBN-10: 3319723464 ISBN-13: 978-3319723464 Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human experiences. Our ability to manage, understand, interrogate, and interpret such extremely large,…
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Data Mining: The Textbook by Charu C. Aggarwal, ISBN-13: 978-3319141411 [PDF eBook eTextbook] Publisher: Springer; 2015th edition (April 27, 2015) Language: English 763 pages ISBN-10: 9783319141411 ISBN-13: 978-3319141411 This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data…
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The Princeton Companion to Mathematics by Timothy Gowers, ISBN-13: 978-0691118802 [PDF eBook eTextbook] Publisher: Princeton University Press; Illustrated edition (September 28, 2008) Language: English 1034 pages ISBN-10: 0691118809 ISBN-13: 978-0691118802 This is a one-of-a-kind reference for anyone with a serious interest in mathematics. Edited by Timothy Gowers, a recipient of the Fields Medal, it presents nearly two hundred entries, written especially for this book by some of the world’s leading mathematicians, that introduce…
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Evidence-Based Practice of Critical Care 3rd Edition, ISBN-13: 978-0323640688 [PDF eBook eTextbook] Publisher: Elsevier; 3rd edition (September 20, 2019) Language: English 688 pages ISBN-10: 0323640680 ISBN-13: 978-0323640688 The third edition can be recommended for effective tabular summary of data, excellent written content, and summary points in each chapter that add clarity to the intent of the authors. Approach any critical care challenge using a practical, consistent strategy based on best practices with Evidence-Based…
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Users’ Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice 3rd Edition, ISBN-13: 978-0071790710 [PDF eBook eTextbook] Publisher: McGraw-Hill Education / Medical; 3rd edition (December 30, 2014) Language: English 736 pages ISBN-10: 9780071790710 ISBN-13: 978-0071790710 The leading guide to the principles and clinical applications of evidence-based medicine–updated with new examples and new chapters A Doody’s Core Title for 2021! Revised and updated to reflect the latest in medical research and evidence-based resources Practical focus and…
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Essentials of Strategic Management 5th Edition by J. David Hunger, ISBN-13: 978-8120348615 [PDF eBook eTextbook] Publisher: Pearson; 5th edition (July 19, 2010) Language: English 216 pages ISBN-10: 0136006698 ISBN-13: 978-8120348615 Essentials of Strategic Management offers a concise explanation of the most important concepts and techniques in strategic management. Further, the brevity of this text makes it suitable for use in corporate and executive training programs. KEY TOPICS: Basic Concepts of Strategic Management; Corporate Governance, Ethics, and Social…
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