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(으)로 204개의 도서가 검색 되었습니다.
Introduction to Data Science
| LAP Lambert Academic Publishing
121,270원 | 20241004 | 9786208171278
This book introduces social science researchers, students, and educators to the fundamental concepts and tools of data science. It addresses the misconception that data science is reserved for computer scientists, demonstrating its wide applicability in fields like economics, political science, and anthropology.
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Introduction to Data Science (Data Wrangling and Visualization with R)
|
133,620원 | 20240802 | 9781032116556
Thoroughly revised and updated, this is the first book of the second edition of Introduction to Data Science: Data Wrangling and Visualization with R. It introduces skills that can help you tackle real-world data analysis challenges. No previous knowledge of R is necessary.
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Introduction to data analysis in geography
| KS OmniScriptum Publishing
167,210원 | 20250531 | 9786208925789
Geographic data analysis is essential for understanding the spatial dynamics influencing our environment. This book explores the methods, techniques and applications of this discipline, while addressing ethical issues and future innovations. Tools such as ArcGIS and QGIS, as well as advances in Big Data and artificial intelligence, are transforming our ability to extract relevant information.
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Introduction to Data Analysis Using IBM SPSS
| Routledge India
322,980원 | 20241213 | 9781032891798
This textbook book elaborates on the basic understanding and application of statistical tests and data analysis using hypothetical datasets and SPSS version 22.0. It presents step-by-step processes and to-the-point interpretation for quick assimilation and comprehension.
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Introduction to Data Science (Data Analysis and Prediction Algorithms with R)
Irizarry, Rafael A. | CRC Press
50,000원 | 20191115 | 9780367357986
The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book.
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An Introduction to Data Science with Python
| Sage Publications, Inc
0원 | 20240611 | 9781071850657
For those new to Python and data science, this text guides readers through the tools and techniques used to analyze data and generate predictive models. This book starts with the basics, includes practice questions to check understanding, and delves into advanced topics like neural networks and deep learning, all with clarity and a touch of humor.
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Introduction to Data Science (A Python Approach to Concepts, Techniques and Applications)
| Springer Nature B.V.
73,480원 | 20170227 | 9783319500188
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, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.
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Introduction to Data Mining (Pearson New International Edition)
Pang-Ning Tan, Michael Steinbach, Vipin Kumar | Pearson Group
30,000원 | 20130717 | 9781292026152
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
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Introduction to Data Mining
| Addison-Wesley
0원 | 20050401 | 9780321321367
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
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An Introduction to Data Science
Jeffrey M. Stanton, Jeffrey S. Saltz | Sage Pubns
43,000원 | 20171006 | 9781506377537
An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.
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An Introduction to Data Analysis in R (Hands-On Coding, Data Mining, Visualization and Statistics from Scratch)
Hurtado Gil, LluIs, Mondejar Ruiz, Diego, Quesada Gonzalez, Carlos, Zamora Saiz, Alfonso | Springer
146,980원 | 20200728 | 9783030489960
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R.
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A Hands-On Introduction to Data Science (The Manager’s Way of Understanding the Global Economy)
Shah, Chirag | Cambridge University Press
65,000원 | 20200430 | 9781108472449
A practical introduction to data science with a low barrier entry, this textbook is well-suited to students from a range of disciplines. Assuming no prior knowledge of the subject, the hands-on exercises and real-life application of popular data science tools are accessible even to students without a strong technical background.
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Introduction to Data Mining and Analytics
| Jones & Bartlett Publishers
284,350원 | 20200217 | 9781284180909
This book has been designed to introduce the fundamental concepts of Continuum Mechanics. Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.
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Compliance Quantified: An Introduction to Data Verification (An Introduction to Data Verification)
| Cambridge
95,550원 | 20050908 | 9780521019194
A self-contained 1996 account of the mathematics needed to help ensure compliance with international agreements, such as those governing arms control or the environment. The only prerequisites are simple calculus and statistics, so the book should be accessible to a broad range of scientists and non-scientists, in industrial, academic or governmental environments.
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Introduction to Data Acquisition with LabVIEW
King, Robert H. | McGraw-Hill
0원 | 20210101 | 9780077299613
King'sIntroduction to Data Acquisition with LabVIEWteaches students how to measure physical properties with a computer based instrumentation system. It uses numerous examples and the National Instruments LabVIEW graphical programming environment to lower the barriers to learning and reduce the time required to successfully perform automated measurements..LabVIEW is a powerful graphical programming environment that abstracts tedious low-level interface, syntax, and formatting tasks allowing users to focus on higher level goals and accomplish more..
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