Download or read book Data Data Everywhere written by Victoria Bernhardt and published by Routledge. This book was released on 2013-11-20 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level, in every subject area, and with every student group.
Download or read book Data Data Everywhere written by Victoria L. Bernhardt and published by Routledge. This book was released on 2015-08-14 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level, in every subject area, and with every student group. In this new edition, readers will learn how to use data to inform their continuous school improvement as they develop an appreciation of the various types of data, uses for data, and how data are involved in the process. This accessible, updated edition provides a wealth of straightforward and accessible strategies that will allow educators to become comfortable with the many uses of data in increasing student improvement. Data, Data Everywhere, 2nd edition, provides a framework and summary of the continuous school improvement framework. It is a perfect resource for teachers, administrators, support staff, and students of leadership to guide comprehensive school improvement that will make a difference for all students.
Download or read book Data Data Everywhere written by Victoria L. Bernhardt and published by Eye On Education. This book was released on 2009 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an easy-to-read primer that describes what it takes to increase student achievement at every grade level, subject area, and student group. Readers will learn how to use data to drive their continuous improvement process as they develop an appreciation of the various types of data, uses for data, and how data are involved with the school improvement process. Online Course Available through a partnerhip with Knowledge Delivery Systems. Click here for more information. (CEUs may be available through your district.)
Download or read book Data Management Data Data Everywhere written by Richard Cooper and published by Springer. This book was released on 2007-08-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features the refereed proceedings from the 24th British National Conference on Databases, held in Glasgow, Scotland in July 2007. The eighteen full papers and seven poster papers are presented, together with two invited contributions. Papers are organized into topical sections covering data applications, searching XML documents, querying XML documents, XML transformation, clustering and security, data mining, and extraction.
Download or read book Data Data Everywhere written by Victoria L. Bernhardt and published by Routledge. This book was released on 2013-11-20 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an easy-to-read primer that describes what it takes to increase student achievement at every grade level, subject area, and student group. Readers will learn how to use data to drive their continuous improvement process as they develop an appreciation of the various types of data, uses for data, and how data are involved with the school improvement process.
Download or read book Head First Data Analysis written by Michael Milton and published by "O'Reilly Media, Inc.". This book was released on 2009-07-24 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.
Download or read book The Complete Idiot s Guide to Statistics written by Robert A. Donnelly and published by Penguin. This book was released on 2004 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers an introduction to statistics, covering concepts and formulas, interpretation of data through different types of charts, using computer applications to simplify things, and more advanced topics.
Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Download or read book Poems and Prayers for the Ups and Downs of Life written by Marsha Cain and published by Xlibris Corporation. This book was released on 2022-08-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Poems and Prayers for the Ups and Downs of Life is a unique compilation of verse- 40 years in the making. First time author and retired social worker, Marsha Denial Cain explores the challenges and joys of our collective and personal lives. Focusing on matters of the heart, Cain addresses topics as diverse as the evening news and as lighted hearted as child's play. With insight, humor, and faith; Cain ponders the issues of grief, suffering, heartache, and love. Yet she also celebrates the special memories and triumphs of life . So, whether you are having a "good" day or a "challenging" one, you will likely discover a poem that brings a tear to your eye, a song to your lips, or a prayer to your heart! Enjoy the ride!
Download or read book Creating Value with Big Data Analytics written by Peter C. Verhoef and published by Routledge. This book was released on 2016-01-08 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.
Download or read book Excel for the CFO written by P. K. Hari and published by Tickling Keys, Inc.. This book was released on 2012-12-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written specifically for finance managers, Excel for the CFO explains the best features of Excel that allow for the automation of regular processes and help reduce the processing time spent on analytics. The book explores the entire gamut of finance-related functions and is focused on practical approaches to using Excel—including Pivot Tables, Goal Seek, Scenario Builder, and VBA—in problem solving to deliver quality results. Using case studies across all types of organizations to demonstrate the application of Excel-based automation, the scenarios covered include the automation of financial analysis models, the creation of income statement and balance sheet templates, converting numbers to words for check printing, and much more. Any finance executive who manages the company's business affairs and makes critical decisions by analyzing data would be directly benefitted by using the tips and techniques presented in this guide.
Download or read book Data Analytics and AI written by Jay Liebowitz and published by CRC Press. This book was released on 2020-08-06 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
Download or read book Handbook of Graphs and Networks in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2022-06-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Graphs and Networks in People Analytics: With Examples in R and Python covers the theory and practical implementation of graph methods in R and Python for the analysis of people and organizational networks. Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book proceeds to give in-depth technical instruction on how to construct and store graphs from data, how to visualize those graphs compellingly and how to convert common data structures into graph-friendly form. The book explores critical elements of network analysis in detail, including the measurement of distance and centrality, the detection of communities and cliques, and the analysis of assortativity and similarity. An extension chapter offers an introduction to graph database technologies. Real data sets from various research contexts are used for both instruction and for end of chapter practice exercises and a final chapter contains data sets and exercises ideal for larger personal or group projects of varying difficulty level. Key features: Immediately implementable code, with extensive and varied illustrations of graph variants and layouts. Examples and exercises across a variety of real-life contexts including business, politics, education, social media and crime investigation. Dedicated chapter on graph visualization methods. Practical walkthroughs of common methodological uses: finding influential actors in groups, discovering hidden community structures, facilitating diverse interaction in organizations, detecting political alignment, determining what influences connection and attachment. Various downloadable data sets for use both in class and individual learning projects. Final chapter dedicated to individual or group project examples.
Download or read book Data Analysis for Continuous School Improvement written by Victoria L. Bernhardt and published by Routledge. This book was released on 2017-09-19 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis for Continuous School Improvement provides a new definition of school improvement, away from a singular focus on compliance, toward a true commitment to excellence. This book is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher and learning for every student through the comprehensive use of data. A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous School Improvement shares new, evidence-based learnings about how to analyze, report, communicate, and use multiple measures of data. The updated edition provides a wealth of tools, protocols, timelines, examples, and strategies that will help schools and districts become genuine learning organizations.
Download or read book Grokking Artificial Intelligence Algorithms written by Rishal Hurbans and published by Simon and Schuster. This book was released on 2020-07-20 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From start to finish, the best book to help you learn AI algorithms and recall why and how you use them." - Linda Ristevski, York Region District School Board ”This book takes an impossibly broad area of computer science and communicates what working developers need to understand in a clear and thorough way.” - David Jacobs, Product Advance Local Key Features Master the core algorithms of deep learning and AI Build an intuitive understanding of AI problems and solutions Written in simple language, with lots of illustrations and hands-on examples Creative coding exercises, including building a maze puzzle game and exploring drone optimization About The Book “Artificial intelligence” requires teaching a computer how to approach different types of problems in a systematic way. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building good AI applications Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts.You’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills. What You Will Learn Use cases for different AI algorithms Intelligent search for decision making Biologically inspired algorithms Machine learning and neural networks Reinforcement learning to build a better robot This Book Is Written For For software developers with high school–level math skills. About the Author Rishal Hurbans is a technologist, startup and AI group founder, and international speaker. Table of Contents 1 Intuition of artificial intelligence 2 Search fundamentals 3 Intelligent search 4 Evolutionary algorithms 5 Advanced evolutionary approaches 6 Swarm intelligence: Ants 7 Swarm intelligence: Particles 8 Machine learning 9 Artificial neural networks 10 Reinforcement learning with Q-learning
Download or read book Harvard Law Review written by Harvard Law Review and published by Quid Pro Books. This book was released on 2013-05-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Harvard Law Review is offered in a digital edition, featuring active Contents, linked notes, and proper ebook formatting. The contents of Issue 7 include a Symposium on privacy and several contributions from leading legal scholars: Article, "Agency Self-Insulation Under Presidential Review," by Jennifer Nou Commentary, "The Office of Information and Regulatory Affairs: Myths and Realities," by Cass R. Sunstein SYMPOSIUM: PRIVACY AND TECHNOLOGY "Introduction: Privacy Self-Management and the Consent Dilemma," by Daniel J. Solove "What Privacy Is For," by Julie E. Cohen "The Dangers of Surveillance," by Neil M. Richards "The EU-U.S. Privacy Collision: A Turn to Institutions and Procedures," by Paul M. Schwartz "Toward a Positive Theory of Privacy Law," by Lior Jacob Strahilevitz Book Review, "Does the Past Matter? On the Origins of Human Rights," by Philip Alston A student Note explores "Enabling Television Competition in a Converged Market." In addition, extensive student analyses of Recent Cases discuss such subjects as First Amendment implications of falsely wearing military uniforms, First Amendment implications of public employment job duties, justiciability of claims that Scientologists violated trafficking laws, habeas corpus law, and ineffective assistance of counsel claims. Finally, the issue includes several summaries of Recent Publications. The Harvard Law Review is a student-run organization whose primary purpose is to publish a journal of legal scholarship. The Review comes out monthly from November through June and has roughly 2000 pages per volume. The organization is formally independent of the Harvard Law School. Student editors make all editorial and organizational decisions. This issue of the Review is May 2013, the 7th issue of academic year 2012-2013 (Volume 126).
