Microsoft Word 2013: Level 1

Text with Data Files CD Benchmark Series

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Author: Nita Rutkosky

Publisher: N.A

ISBN: 9780763853877

Category:

Page: 408

View: 7417

Benchmark Series: Microsoft Word 2013 Level 1 builds students' introductory skills in Word 2013, and helps develop critical thinking and decision-making skills. Key Features Case study assessments at chapter and unit levels test students' abilities to solve problems independently. Projects-based approach creates a realistic context for learning practical skills.

Benchmark Series: Microsoft® Access 2013 Level 2

Text with Data Files CD

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Author: Denise Seguin,Jan Davidson (College teacher)

Publisher: N.A

ISBN: 9780763853945

Category: Database management

Page: 376

View: 517

Benchmark Series: Microsoft Access 2013 Level 2 builds students' intermediate-to-advanced skills in Access 2013, and helps develop critical thinking and decision-making skills. Key Features Case study assessments of chapter and unit levels test students' abilities to solve problems independently. Projects-based approach creates a realistic context for learning practical skills.

Microsoft Excel 2013

Level 1

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Author: Nita Hewitt Rutkosky,Audrey Rutkosky Roggenkamp,Ian Rutkosky

Publisher: EMC Paradigm, Us

ISBN: 9780763853907

Category: Business

Page: 384

View: 3053

Benchmark Series: Microsoft Excel 2013 Level 1 builds students' introductory skills in Excel 2013, and helps develop critical thinking and decision-making skills. Key Features Case study assessments of chapter and unit levels test students' abilities to solve problems independently. Projects-based approach creates a realistic context for learning practical skills.

Microsoft Excel 2016

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Author: Nita Hewitt Rutkosky,Audrey Rutkosky Roggenkamp,Ian Rutkosky

Publisher: N.A

ISBN: 9780763869885

Category:

Page: 510

View: 8646

With Paradigm's new Benchmark Series: Microsoft Excel 2016 Levels 1 and 2, students build mastery skills in Excel 2016. Students receive step-by-step instructions indesigning and creating effective slide shows that inform and motivate audiences. Key Features Mentoring instructional style guides students step-by-step in creating, formatting, and maintaining Excel workbooks for numbers-based data analysis. Case study assessments of chapter and unit levels test students' abilities to solve problems independently.

Microsoft Access 2013

Level 1 & 2

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Author: Nita Hewitt Rutkosky

Publisher: N.A

ISBN: 9780763854546

Category: Database management

Page: 359

View: 4377

Microsoft Word 2016 Levels 1 and 2

Text

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Author: Nita Hewitt Rutkosky,Audrey Rutkosky Roggenkamp,Ian Rutkosky

Publisher: N.A

ISBN: 9780763869816

Category:

Page: 548

View: 9216

With Paradigm's new Benchmark Series: Microsoft Word 2016 Levels 1 and 2, students build mastery skill level in Word 2016. They receive step-by-step instructions in creating letters, reports, research papers, brochures, newsletters, and other documents. Key Features A graduated, three-level approach to mastering Microsoft Office 2016 applications. Mentoring instructional style guides students step-by-step in creating letters, reports, research papers, brochures, newsletters, and other documents. Case study assessments at chapter and unit levels test students' abilities to solve problems independently.

Python for Data Analysis

Data Wrangling with Pandas, NumPy, and IPython

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Author: Wes McKinney

Publisher: "O'Reilly Media, Inc."

ISBN: 1491957611

Category: Computers

Page: 550

View: 3503

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

Introduction to Information Retrieval

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Author: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze

Publisher: Cambridge University Press

ISBN: 1139472100

Category: Computers

Page: N.A

View: 3498

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Microsoft Access 2016

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Author: Nita Hewitt Rutkosky,Audrey Rutkosky Roggenkamp,Ian Rutkosky

Publisher: N.A

ISBN: 9780763869946

Category:

Page: 562

View: 6012

With Paradigm's new Benchmark Series: Microsoft Access 2016 Levels 1 and 2, students build mastery skills in Access 2016. Students receive step-by-step instructions in creating, formatting and maintaining databases to report and analyze information. Key Features Three-level instructional approach moves students from initial modelling of skills to guided application in projects-based exercises to independent problem solving in realistic workplaces. The Benchmark Series:Microsoft Access 2016 Levels 1 and 2 includes assessments that challenge students and test their abilities to re-create files and solve problems independently.

Microsoft Access 2013

Level 1

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Author: Nita Hewitt Rutkosky

Publisher: EMC Paradigm, Us

ISBN: 9780763853938

Category: Database management

Page: 408

View: 5905

Benchmark Series: Microsoft Access 2013 Level 1 builds students' introductory skills in Access 2013, and helps develop critical thinking and decision-making skills. Key Features Case study assessments of chapter and unit levels test students' abilities to solve problems independently. Projects-based approach creates a realistic context for learning practical skills.

Information Theory, Inference and Learning Algorithms

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Author: David J. C. MacKay

Publisher: Cambridge University Press

ISBN: 9780521642989

Category: Computers

Page: 628

View: 2856

Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.

Storytelling with Data

A Data Visualization Guide for Business Professionals

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Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 1119002265

Category: Mathematics

Page: 288

View: 4478

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 Mining

Practical Machine Learning Tools and Techniques

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Author: Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal

Publisher: Morgan Kaufmann

ISBN: 0128043571

Category: Computers

Page: 654

View: 5216

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, 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 most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book

Registries for Evaluating Patient Outcomes

A User’s Guide

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Author: Agency for Healthcare Research and Quality/AHRQ

Publisher: Government Printing Office

ISBN: 1587634333

Category: Medical

Page: 356

View: 8512

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

Computer Vision

Algorithms and Applications

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Author: Richard Szeliski

Publisher: Springer

ISBN: 9781848829466

Category: Computers

Page: 812

View: 2203

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Starting Out with Programming Logic and Design

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Author: Tony Gaddis

Publisher: Pearson

ISBN: 9780134801155

Category: Computer programming

Page: 832

View: 8484

Earlier editions published under title: Starting out with programming logic & design.