Browsing 04. Computer science - Data science - IT by Title
Now showing items 138-157 of 508
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Data Analytics & Visualization All-in-One For Dummies
(For Dummies, 2024)Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers ... -
Data and computer communications
(Pearson, 2014)"Data and Computer Communications, 10e, " is a two-time winner of the best Computer Science and Engineering textbook of the year award from the Textbook and Academic Authors Association. It is ideal for one/two-semester ... -
Data collection : key debates and methods in social research
(SAGE Publications, 2012)Offering cross-referenced, accessible overviews of key theoretical issues and practical methods, Data Collection provides students and researchers alike with an indispensible introduction to the tools needed for data ... -
Data collection : planning for and collecting all types of data
(John Wiley & Sons, Inc., 2008)This book is the second of six books in the Measurement and Evaluation Series from Pfeiffer. The proven ROI Methodology--developed by the ROI Institute--provides a practical system for evaluation planning, data collection, ... -
Data collection and analysis
(SAGE Publications, 2006)The 2nd edition of this book illustrates a wide range of techniques and approaches used in social research projects. Always accessible and engaging, this comprehensive text covers both quantitative and qualitative approaches ... -
Data communications and networking
(McGraw-Hill, 2007)This book presents this highly technical subject matter without relying on complex formulas by using a strong pedagogical approach supported by more than 700 figures. Now in its Fourth Edition, this textbook brings the ... -
Data mining : concepts, models, methods, and algorithms
(Wiley, 2020)The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial ... -
Data mining : practical machine learning tools and techniques
(Morgan Kaufmann, 2017)This book offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the ... -
Data mining : practical machine learning tools and techniques
(Morgan Kaufmann, 2011)This book offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. -
Data mining : the textbook
(Springer, 2015)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 ... -
Data mining applications for small and medium enterprises
(Centre for Research on Small Enterprise Development Nanyang Technological University, 2005) -
Data mining with Microsoft SQL server 2008
(Wiley Publishing, Inc., 2008)Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with ... -
Data science
(The MIT Press, 2018)This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from ... -
Data science & big data analytics : discovering, analyzing, visualizing and presenting data
(John Wiley & Sons, Inc., 2015)"This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications ... -
Data science and predictive analytics : biomedical and health applications using R
(Springer, 2018)Exposing the enormous opportunities presented by the tsunami of Big data, this textbook aims to identify specific knowledge gaps, educational barriers, and workforce readiness deficiencies. Specifically, it focuses on the ... -
Data science for business : what you need to know about data mining and data-analytic thinking
(O’Reilly Media, Inc., 2013)This book introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also ... -
Data science for business and decision making
(Academic Press is an imprint of Elsevier, 2019)This book covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply ... -
Data science for fake news : surveys and perspectives
(Springer, 2021)This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert ... -
Data Science Handbook: A Practical Approach
(Wiley-Scrivener, 2022)This desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains. Data Science is one of the leading ... -
Data structures and algorithms with Python
(Springer, 2015)This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents ...
