Discovering Knowledge in Data

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Publisher : John Wiley & Sons
ISBN 13 : 0471687537
Total Pages : 240 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Discovering Knowledge in Data by : Daniel T. Larose

Download or read book Discovering Knowledge in Data written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2005-01-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include: * Data preprocessing and classification * Exploratory analysis * Decision trees * Neural and Kohonen networks * Hierarchical and k-means clustering * Association rules * Model evaluation techniques Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.

Introduction to Data Processing, 2d Ed

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Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (69 download)

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Book Synopsis Introduction to Data Processing, 2d Ed by : Gary S. Popkin

Download or read book Introduction to Data Processing, 2d Ed written by Gary S. Popkin and published by . This book was released on 1981 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Student Guide to Accompany Data Processing

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Publisher :
ISBN 13 :
Total Pages : 151 pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Student Guide to Accompany Data Processing by : Donald D. Spencer

Download or read book Student Guide to Accompany Data Processing written by Donald D. Spencer and published by . This book was released on 1982 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Source Book and Key for Introduction to Data Processing, Second Edition

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Publisher :
ISBN 13 : 9780070531918
Total Pages : 93 pages
Book Rating : 4.5/5 (319 download)

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Book Synopsis Source Book and Key for Introduction to Data Processing, Second Edition by : Beryl Robichaud

Download or read book Source Book and Key for Introduction to Data Processing, Second Edition written by Beryl Robichaud and published by . This book was released on 1977 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Data Science

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Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Introduction to Data Processing

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Author :
Publisher : WCB/McGraw-Hill
ISBN 13 :
Total Pages : 758 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Introduction to Data Processing by : Carl Feingold

Download or read book Introduction to Data Processing written by Carl Feingold and published by WCB/McGraw-Hill. This book was released on 1975 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Data Mining

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Publisher : Pearson Education India
ISBN 13 : 9332586055
Total Pages : 780 pages
Book Rating : 4.3/5 (325 download)

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Book Synopsis Introduction to Data Mining by : Pang-Ning Tan

Download or read book Introduction to Data Mining written by Pang-Ning Tan and published by Pearson Education India. This book was released on 2016 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Each major topic is organized into two chapters, beginni

Instructor's Professional Resource Guide to Accompany Data Processing, an Introduction with BASIC, 2nd Edition (9854-8) Or Data Processing, an Introduction, 2nd Edition (9787-8)

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Publisher :
ISBN 13 :
Total Pages : 355 pages
Book Rating : 4.:/5 (123 download)

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Book Synopsis Instructor's Professional Resource Guide to Accompany Data Processing, an Introduction with BASIC, 2nd Edition (9854-8) Or Data Processing, an Introduction, 2nd Edition (9787-8) by : Donald D. Spencer

Download or read book Instructor's Professional Resource Guide to Accompany Data Processing, an Introduction with BASIC, 2nd Edition (9854-8) Or Data Processing, an Introduction, 2nd Edition (9787-8) written by Donald D. Spencer and published by . This book was released on 1982 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Data Processing

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Author :
Publisher : Englewood Cliffs, N.J : Prentice-Hall
ISBN 13 :
Total Pages : 550 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Introduction to Data Processing by : F. Robert Crawford

Download or read book Introduction to Data Processing written by F. Robert Crawford and published by Englewood Cliffs, N.J : Prentice-Hall. This book was released on 1973 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:

R for Data Science

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Python for Data Analysis

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491957611
Total Pages : 676 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Python for Data Analysis by : Wes McKinney

Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Getting Started with Processing.py

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Publisher : Maker Media, Inc.
ISBN 13 : 1457186799
Total Pages : 204 pages
Book Rating : 4.4/5 (571 download)

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Book Synopsis Getting Started with Processing.py by : Allison Parrish

Download or read book Getting Started with Processing.py written by Allison Parrish and published by Maker Media, Inc.. This book was released on 2016-05-11 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.

Processing, second edition

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Publisher : MIT Press
ISBN 13 : 026202828X
Total Pages : 663 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Processing, second edition by : Casey Reas

Download or read book Processing, second edition written by Casey Reas and published by MIT Press. This book was released on 2014-12-19 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introduction to computer programming within the context of the visual arts, using the open-source programming language Processing; thoroughly updated throughout. The visual arts are rapidly changing as media moves into the web, mobile devices, and architecture. When designers and artists learn the basics of writing software, they develop a new form of literacy that enables them to create new media for the present, and to imagine future media that are beyond the capacities of current software tools. This book introduces this new literacy by teaching computer programming within the context of the visual arts. It offers a comprehensive reference and text for Processing (www.processing.org), an open-source programming language that can be used by students, artists, designers, architects, researchers, and anyone who wants to program images, animation, and interactivity. Written by Processing's cofounders, the book offers a definitive reference for students and professionals. Tutorial chapters make up the bulk of the book; advanced professional projects from such domains as animation, performance, and installation are discussed in interviews with their creators. This second edition has been thoroughly updated. It is the first book to offer in-depth coverage of Processing 2.0 and 3.0, and all examples have been updated for the new syntax. Every chapter has been revised, and new chapters introduce new ways to work with data and geometry. New “synthesis” chapters offer discussion and worked examples of such topics as sketching with code, modularity, and algorithms. New interviews have been added that cover a wider range of projects. “Extension” chapters are now offered online so they can be updated to keep pace with technological developments in such fields as computer vision and electronics. Interviews SUE.C, Larry Cuba, Mark Hansen, Lynn Hershman Leeson, Jürg Lehni, LettError, Golan Levin and Zachary Lieberman, Benjamin Maus, Manfred Mohr, Ash Nehru, Josh On, Bob Sabiston, Jennifer Steinkamp, Jared Tarbell, Steph Thirion, Robert Winter

DPO Handbook - Data Protection Officers Under the GDPR

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Publisher :
ISBN 13 : 9781948771047
Total Pages : pages
Book Rating : 4.7/5 (71 download)

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Book Synopsis DPO Handbook - Data Protection Officers Under the GDPR by : Thomas Shaw

Download or read book DPO Handbook - Data Protection Officers Under the GDPR written by Thomas Shaw and published by . This book was released on 2018-03 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Computation and Programming Using Python, second edition

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Publisher : MIT Press
ISBN 13 : 0262529629
Total Pages : 466 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Introduction to Computation and Programming Using Python, second edition by : John V. Guttag

Download or read book Introduction to Computation and Programming Using Python, second edition written by John V. Guttag and published by MIT Press. This book was released on 2016-08-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

Data Mining

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Publisher : CRC Press
ISBN 13 : 1498763987
Total Pages : 530 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Mining by : Richard J. Roiger

Download or read book Data Mining written by Richard J. Roiger and published by CRC Press. This book was released on 2017-01-06 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery Presents the most popular data mining algorithms in an easy to follow format Includes instructional tutorials on applying the various data mining algorithms Provides several interesting datasets ready to be mined Offers in-depth coverage of RapidMiner Studio and Weka’s Explorer interface Teaches the reader (student,) hands-on, about data mining using RapidMiner Studio and Weka Gives instructors a wealth of helpful resources, including all RapidMiner processes used for the tutorials and for solving the end of chapter exercises. Instructors will be able to get off the starting block with minimal effort Extra resources include screenshot sequences for all RapidMiner and Weka tutorials and demonstrations, available for students and instructors alike The latest version of all freely available materials can also be downloaded at: http://krypton.mnsu.edu/~sa7379bt/

Introduction to Data Processing

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Publisher :
ISBN 13 :
Total Pages : 345 pages
Book Rating : 4.:/5 (76 download)

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Book Synopsis Introduction to Data Processing by : Beryl Robichaud

Download or read book Introduction to Data Processing written by Beryl Robichaud and published by . This book was released on 1977 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: