The Data Preparation Journey

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The Data Preparation Journey

Author : Martin Hugh Monkman
Publisher : CRC Press
ISBN 13 : 1040019137
Total Pages : 205 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis The Data Preparation Journey by : Martin Hugh Monkman

Download or read book The Data Preparation Journey written by Martin Hugh Monkman and published by CRC Press. This book was released on 2024-05-28 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how “Visualise” is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context. Key Features: Includes R package containing the code and data sets used in the book Comprehensive examples of data preparation from a variety of disciplines Defines the key principles of data preparation, from access to publication

The Data Preparation Journey

Author : Martin Hugh Monkman
Publisher :
ISBN 13 : 9781032192314
Total Pages : 0 pages
Book Rating : 4.1/5 (923 download)

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Book Synopsis The Data Preparation Journey by : Martin Hugh Monkman

Download or read book The Data Preparation Journey written by Martin Hugh Monkman and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Data Preparation Journey: Finding Your Way with R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science programming language R. These solutions include examples of complex real-world data, adding greater context and exposing the reader to greater technical challenges. This book focuses on the Import to Tidy to Transform steps. It demonstrates how "Visualise" is an important part of Exploratory Data Analysis, a strategy for identifying potential problems with the data prior to cleaning. This book is designed for readers with a working knowledge of data manipulation functions in R or other programming languages. It is suitable for academics for whom analyzing data is crucial, businesses who make decisions based on the insights gleaned from collecting data from customer interactions, and public servants who use data to inform policy and program decisions. The principles and practices described within The Data Preparation Journey apply regardless of the context"--

Data Preparation for Data Mining

Author : Dorian Pyle
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605299
Total Pages : 566 pages
Book Rating : 4.6/5 (52 download)

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Book Synopsis Data Preparation for Data Mining by : Dorian Pyle

Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.

Data Journeys in the Sciences

Author : Sabina Leonelli
Publisher : Springer Nature
ISBN 13 : 3030371778
Total Pages : 411 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Journeys in the Sciences by : Sabina Leonelli

Download or read book Data Journeys in the Sciences written by Sabina Leonelli and published by Springer Nature. This book was released on 2020-06-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.

Storytelling with Data

Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
ISBN 13 : 1119002265
Total Pages : 284 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2015-10-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Data Sketches

Author : Nadieh Bremer
Publisher : CRC Press
ISBN 13 : 0429816820
Total Pages : 429 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Data Sketches by : Nadieh Bremer

Download or read book Data Sketches written by Nadieh Bremer and published by CRC Press. This book was released on 2021-02-09 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

Data Science Live Book

Author : Pablo Casas
Publisher :
ISBN 13 : 9789874273666
Total Pages : pages
Book Rating : 4.2/5 (736 download)

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Book Synopsis Data Science Live Book by : Pablo Casas

Download or read book Data Science Live Book written by Pablo Casas and published by . This book was released on 2018-03-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to problems that commonly arise when developing a machine learning project. The book's topics are: Exploratory data analysis Data Preparation Selecting best variables Assessing Model Performance More information on predictive modeling will be included soon. This book tries to demonstrate what it says with short and well-explained examples. This is valid for both theoretical and practical aspects (through comments in the code). This book, as well as the development of a data project, is not linear. The chapters are related among them. For example, the missing values chapter can lead to the cardinality reduction in categorical variables. Or you can read the data type chapter and then change the way you deal with missing values. You¿ll find references to other websites so you can expand your study, this book is just another step in the learning journey. It's open-source and can be found at http://livebook.datascienceheroes.com

Mobile Services Industries, Technologies, and Applications in the Global Economy

Author : Lee, In
Publisher : IGI Global
ISBN 13 : 1466619821
Total Pages : 368 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Mobile Services Industries, Technologies, and Applications in the Global Economy by : Lee, In

Download or read book Mobile Services Industries, Technologies, and Applications in the Global Economy written by Lee, In and published by IGI Global. This book was released on 2012-08-31 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: As business paradigms shift from desktop-centric environments to data-centric mobile environments, mobile services create numerous new business opportunities. At the same time, these advances may also challenge many of the basic premises of existing business models. Mobile Services Industries, Technologies, and Applications in the Global Economy fosters a scientific understanding of mobile services, provides a timely publication of current research efforts, and forecasts future trends in the mobile services industry and its important role in the world economy. Written for academics, researchers, government policymakers, and corporate managers, this comprehensive volume will outline the great potential for new business models and applications in mobile commerce.

Mathematical Engineering of Deep Learning

Author : Benoit Liquet
Publisher : CRC Press
ISBN 13 : 1040116884
Total Pages : 415 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Mathematical Engineering of Deep Learning by : Benoit Liquet

Download or read book Mathematical Engineering of Deep Learning written by Benoit Liquet and published by CRC Press. This book was released on 2024-10-03 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms and progresses through the key ideas of deep learning. These ideas and architectures include deep neural networks, convolutional models, recurrent models, long/short-term memory, the attention mechanism, transformers, variational auto-encoders, diffusion models, generative adversarial networks, reinforcement learning, and graph neural networks. Concepts are presented using simple mathematical equations together with a concise description of relevant tricks of the trade. The content is the foundation for state-of-the-art artificial intelligence applications, involving images, sound, large language models, and other domains. The focus is on the basic mathematical description of algorithms and methods and does not require computer programming. The presentation is also agnostic to neuroscientific relationships, historical perspectives, and theoretical research. The benefit of such a concise approach is that a mathematically equipped reader can quickly grasp the essence of deep learning. Key Features: A perfect summary of deep learning not tied to any computer language, or computational framework. An ideal handbook of deep learning for readers that feel comfortable with mathematical notation. An up-to-date description of the most influential deep learning ideas that have made an impact on vision, sound, natural language understanding, and scientific domains. The exposition is not tied to the historical development of the field or to neuroscience, allowing the reader to quickly grasp the essentials. Deep learning is easily described through the language of mathematics at a level accessible to many professionals. Readers from fields such as engineering, statistics, physics, pure mathematics, econometrics, operations research, quantitative management, quantitative biology, applied machine learning, or applied deep learning will quickly gain insights into the key mathematical engineering components of the field.

Intelligent Transport Systems. From Research and Development to the Market Uptake

Author : Ana Lúcia Martins
Publisher : Springer Nature
ISBN 13 : 3030388220
Total Pages : 309 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intelligent Transport Systems. From Research and Development to the Market Uptake by : Ana Lúcia Martins

Download or read book Intelligent Transport Systems. From Research and Development to the Market Uptake written by Ana Lúcia Martins and published by Springer Nature. This book was released on 2020-01-09 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third EAI International Conference on Intelligent Transport Systems, INTSYS 2019, which was held in Braga, Portugal, in December 2019. The 23 revised full papers were selected from 35 submissions and are organized in four thematic sessions on modelling, optimization, tracking and prediction, visualization and sensing.

Directions to Improve Urban Travel Demand Forecasting

Author :
Publisher :
ISBN 13 :
Total Pages : 420 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Directions to Improve Urban Travel Demand Forecasting by :

Download or read book Directions to Improve Urban Travel Demand Forecasting written by and published by . This book was released on 1978 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Directions to Improve Urban Travel Demand Forecasting

Author : Louise E. Skinner
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Directions to Improve Urban Travel Demand Forecasting by : Louise E. Skinner

Download or read book Directions to Improve Urban Travel Demand Forecasting written by Louise E. Skinner and published by . This book was released on 1979 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Study of an Intraurban Travel Demand Model Incorporating Commuter Preference Variables

Author : Paul E. Holligan
Publisher :
ISBN 13 :
Total Pages : 338 pages
Book Rating : 4.:/5 (317 download)

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Book Synopsis Study of an Intraurban Travel Demand Model Incorporating Commuter Preference Variables by : Paul E. Holligan

Download or read book Study of an Intraurban Travel Demand Model Incorporating Commuter Preference Variables written by Paul E. Holligan and published by . This book was released on 1971 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data preparation to inform assessment and management approaches in data-limited fisheries

Author : Amoroso, R.
Publisher : Food & Agriculture Org. [Author]
ISBN 13 : 9251387095
Total Pages : 124 pages
Book Rating : 4.2/5 (513 download)

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Book Synopsis Data preparation to inform assessment and management approaches in data-limited fisheries by : Amoroso, R.

Download or read book Data preparation to inform assessment and management approaches in data-limited fisheries written by Amoroso, R. and published by Food & Agriculture Org. [Author]. This book was released on 2024-04-26 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: In fisheries science and management, it is not uncommon that fishery data are used at “face value”, as inputs into data-limited assessments or empirical indicator-based frameworks for management, without first conducting a thorough exploration and critical review of the data. [Author] This practice may lead to biases in results and misdirected fishery management actions. [Author] To address intermediate steps between data collection and any analysis used to inform stock status, this manual provides guidance on how to prepare, explore and critically review fishery data in data-limited situations. [Author] Throughout the manual, guidance and sample data are provided primarily in Microsoft Excel or in comma separated value (CSV) file formats, as well as through FishualizeR, a publicly available, web-based, R Shiny app that was developed to support the manual. [Author] Instructions in this manual are not intended to present a single, prescriptive path, but rather to provide guidance that may be further tailored to each individual context. [Author] It is the authors’ hope and intent that the guidance contained in this manual will allow users to better understand their data, make corrections, and gain a deeper understanding of the data’s utility in assessment and management of data-limited fisheries. [Author]

Process Mining Workshops

Author : Marco Montali
Publisher : Springer Nature
ISBN 13 : 3031278151
Total Pages : 593 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Process Mining Workshops by : Marco Montali

Download or read book Process Mining Workshops written by Marco Montali and published by Springer Nature. This book was released on 2023-03-25 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)

Public Transit Planning and Operation

Author : Avishai Ceder
Publisher : CRC Press
ISBN 13 : 1466563923
Total Pages : 730 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Public Transit Planning and Operation by : Avishai Ceder

Download or read book Public Transit Planning and Operation written by Avishai Ceder and published by CRC Press. This book was released on 2016-03-09 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the Challenges Facing Public Transport Policy Makers and OperatorsPublic Transit Planning and Operation: Modeling, Practice and Behavior, Second Edition offers new solutions for delivering both better services and greater efficiency, solutions which have been developed and tested by the author in over thirty years of research work with ma

Deep Learning with Structured Data

Author : Mark Ryan
Publisher : Manning Publications
ISBN 13 : 1617296724
Total Pages : 262 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Deep Learning with Structured Data by : Mark Ryan

Download or read book Deep Learning with Structured Data written by Mark Ryan and published by Manning Publications. This book was released on 2020-12-29 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps