Download or read book Predictive Analytics for Business Forecasting Planning written by J. Eric Wilson and published by . This book was released on 2020-12 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Driven by Data written by Paul Bambrick-Santoyo and published by John Wiley & Sons. This book was released on 2010-04-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Download or read book Student Self Assessment written by Katie White and published by Solution Tree Press. This book was released on 2021-10-22 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase the achievement of every learner with Student Self-Assessment. In this practical guide, author Katie White outlines how to plan and implement various self-assessment strategies to ensure student growth at all grade levels. She covers every stage of the process--from setup to goal setting to celebrating. In each chapter, you'll find helpful step-by-step guidelines as well as questions to guide conversation and reflection throughout the journey. Understand how self-assessment skills benefit students now and in the future. Learn how to set up a self-assessment process and document learning. Train students to analyze and reflect on their own performance. Set strong, achievable goals in order to motivate students to realize their potential. Celebrate successes and continue to engage students with self-assessment. Contents: Introduction: Embracing Student Self-Assessment Chapter 1: Making a Compelling Case for Student-Self-Assessment Chapter 2: Setting Up a Self-Assessment Process and Documenting Learning Chapter 3: Engaging in Analysis and Reflection Chapter 4: Imagining Possibilities and Setting Goals Chapter 5: Celebrating Growth Chapter 6: Examining Age, Security, Families, and Other Factors Epilogue Appendix: Sample Self-Assessment Sequence References and Resources Index
Download or read book Data Science and Predictive Analytics written by Ivo D. Dinov and published by Springer Nature. This book was released on 2023-02-16 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook integrates important mathematical foundations, efficient computational algorithms, applied statistical inference techniques, and cutting-edge machine learning approaches to address a wide range of crucial biomedical informatics, health analytics applications, and decision science challenges. Each concept in the book includes a rigorous symbolic formulation coupled with computational algorithms and complete end-to-end pipeline protocols implemented as functional R electronic markdown notebooks. These workflows support active learning and demonstrate comprehensive data manipulations, interactive visualizations, and sophisticated analytics. The content includes open problems, state-of-the-art scientific knowledge, ethical integration of heterogeneous scientific tools, and procedures for systematic validation and dissemination of reproducible research findings. Complementary to the enormous challenges related to handling, interrogating, and understanding massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The topics covered in Data Science and Predictive Analytics address specific knowledge gaps, resolve educational barriers, and mitigate workforce information-readiness and data science deficiencies. Specifically, it provides a transdisciplinary curriculum integrating core mathematical principles, modern computational methods, advanced data science techniques, model-based machine learning, model-free artificial intelligence, and innovative biomedical applications. The book’s fourteen chapters start with an introduction and progressively build foundational skills from visualization to linear modeling, dimensionality reduction, supervised classification, black-box machine learning techniques, qualitative learning methods, unsupervised clustering, model performance assessment, feature selection strategies, longitudinal data analytics, optimization, neural networks, and deep learning. The second edition of the book includes additional learning-based strategies utilizing generative adversarial networks, transfer learning, and synthetic data generation, as well as eight complementary electronic appendices. This textbook is suitable for formal didactic instructor-guided course education, as well as for individual or team-supported self-learning. The material is presented at the upper-division and graduate-level college courses and covers applied and interdisciplinary mathematics, contemporary learning-based data science techniques, computational algorithm development, optimization theory, statistical computing, and biomedical sciences. The analytical techniques and predictive scientific methods described in the book may be useful to a wide range of readers, formal and informal learners, college instructors, researchers, and engineers throughout the academy, industry, government, regulatory, funding, and policy agencies. The supporting book website provides many examples, datasets, functional scripts, complete electronic notebooks, extensive appendices, and additional materials.
Download or read book Homeland Security Exercise and Evaluation Program written by and published by . This book was released on 2003 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Security Self assessment Guide for Information Technology System written by Marianne Swanson and published by . This book was released on 2001 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Human Capital Systems Analytics and Data Mining written by Robert C. Hughes and published by CRC Press. This book was released on 2018-09-03 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS. The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises. Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters.
Download or read book Understanding the Predictive Analytics Lifecycle written by Alberto Cordoba and published by John Wiley & Sons. This book was released on 2014-08-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A high-level, informal look at the different stages of the predictive analytics cycle Understanding the Predictive Analytics Lifecycle covers each phase of the development of a predictive analytics initiative. Through the use of illuminating case studies across a range of industries that include banking, megaresorts, mobile operators, healthcare, manufacturing, and retail, the book successfully illustrates each phase of the predictive analytics cycle to create a playbook for future projects. Predictive business analytics involves a wide variety of inputs that include individuals' skills, technologies, tools, and processes. To create a successful analytics program or project to gain forward-looking insight into making business decisions and actions, all of these factors must properly align. The book focuses on developing new insights and understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management as input for human decisions. The book includes: An overview of all relevant phases: design, prepare, explore, model, communicate, and measure Coverage of the stages of the predictive analytics cycle across different industries and countries A chapter dedicated to each of the phases of the development of a predictive initiative A comprehensive overview of the entire analytic process lifecycle If you're an executive looking to understand the predictive analytics lifecycle, this is a must-read resource and reference guide.
Download or read book Assessing the quality of agricultural market information systems A self assessment guide written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2018-06-22 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over approximately the past 40 years, many developing countries invested in the establishment of agricultural market information systems or services (MIS). These systems or services were initially run by government agencies, but since the turn of the millennium private organizations have shown interest in providing data on a commercial basis. To date, however, these private services, while usually being more efficient than the government-run ones, have also largely depended on donor support for their continued operation. It has proved difficult to develop a profitable business model as many of the clients are small farmers and traders. Agricultural market information systems or services (MIS) can cover staples, horticultural crops, livestock, and export commodities. They are generally designed to collect, process, and disseminate or distribute data of relevance to farmers, traders and other buyers, such as processors, but the data they generate can also be used for a variety of purposes by governments, donors, international organizations and others.
Download or read book Compendium of Research Reports written by United States. Dept. of Housing and Urban Development. Office of Policy Development and Research and published by . This book was released on 1980 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Self assessment Guide for Organizational Performance and Customer Satisfaction written by and published by . This book was released on 1993 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Analysis for Continuous School Improvement written by Victoria L. Bernhardt and published by Eye On Education. This book was released on 2004 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: With clear and concrete examples from elementary and high schools, this book helps you effectively gather, analyze, and use data to improve student learning. It demonstrates how to make better decisions, identify root causes of problems, and communicate and report results.
Download or read book GAO Cost Estimating and Assessment Guide written by Barry Leonard and published by DIANE Publishing. This book was released on 2009-11 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: To use public funds effectively, the gov¿t. must meet the demands of today's changing world by employing effective mgmt. practices and processes, including the measurement of gov¿t. program performance. Legislators, gov¿t. officials, and the public want to know whether gov¿t. programs are achieving their goals and what their costs are. To make those evaluations, reliable cost information is required and fed. standards have been issued for the cost accounting that is needed to prepare that information. This Cost Guide has been developed in order to establish a consistent methodology that is based on best practices and that can be used across the fed. gov¿t. for developing, managing, and evaluating capital program cost estimates. Illustrations.
Download or read book Lab Manual for Health Assessment in Nursing written by Janet R. Weber and published by Lippincott Williams & Wilkins. This book was released on 2013-11-25 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lab Manual for Health Assessment in Nursing, 5e serves as a laboratory manual and a study guide for the student. Each chapter of the lab manual corresponds to a chapter in the main textbook assisting students with comprehending and applying the theoretical content. Students will fully develop their assessment skills using the new interview guides and assessment guides. Students will also develop independence and readiness for test-taking by answering questions designed to hone these skills. Critical thinking skills are further developed when students participate in the Critical Thinking and Case Study activities.
Download or read book Compendium of Research Reports written by United States. Department of Housing and Urban Development. Office of Policy Development and Research and published by . This book was released on with total page 1026 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Resources in Education written by and published by . This book was released on 1997 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Transforming Digital Learning and Assessment written by Peggy L. Maki and published by Taylor & Francis. This book was released on 2023-07-03 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to both the trend towards increasing online enrollments as the demand for face-to-face education declines, and to the immediate surge in remote learning owing to the COVID-19 pandemic, this book provides vital guidance to higher education institutions on how to develop faculty capacity to teach online and to leverage the affordances of an ever-increasing array of new and emerging learning technologies.This book provides higher education leaders with the context they need to position their institutions in the changing online environment, and with guidance to build support in a period of transition.It is intended for campus leaders and administrators who work with campus teams charged with identifying learning technologies to meet an agreed upon program- or institution-level educational needs; for those coordinating across campus to build consensus on implementing online strategies; and for instructional designers, faculty developers and assessment directors who assist departments and faculty effectively integrate learning technologies into their courses and programs. It will also appeal to faculty who take an active interest in improving online teaching.The contributors to this volume describe the potential of artificial intelligence algorithms, such as those that fuel learning analytics software that mines LMS data to enable faculty to quickly and efficiently assess individual students’ progress in real time, prompting either individual attention or the need to more generally clarify concepts for the class as whole. They describe and provide access to a hybrid professional development MOOC and an associated WIKI that curate information about a wide range of learning software solutions currently available; and present case studies that offer guidance on building the buy-in and consensus needed to successfully integrate learning technologies into course, program- and institution-level contexts.In sum, this book provides readers with a comprehensive understanding of the technological capabilities available to them and identifies collaborative processes related to engaging and building institutional support for the changes needed to provide the rapidly growing demand for effective and evidence-based online learning.
