Readers will develop an understanding of the multiple research methods and strategies used in education and related fields, the ability to read and critically evaluate published research, and the ability to write a proposal, construct a questionnaire, and conduct an empirical research study on their own.

    Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    In its most simple form, earned value equates to fundamental project management. This is not a new book, but rather it is an updated book. Authors Quentin Fleming and Joel Koppelman have made some important additions. In many cases, there will be no changes to a given section. But in other sections, the authors have made substantial revisions to what they had described in the first edition. Fleming and Koppelman’s goal remains the same with this update: describe earned value project management in its most fundamental form, for application to all projects, of any size or complexity. Writing in an easy-to-read, friendly, and humorous style characteristic of the best teachers, Fleming and Koppelman have identified the minimum requirements that they feel are necessary to use earned value as a simple tool for project managers. They have also witnessed the use of simple earned value on software projects, and find it particularly exciting. Realistically, a Cost Performance Index (CPI) is the same whether the project is a multibillion-dollar high-technology project, or a simple one hundred thousand-dollar software project. A CPI is a CPI … period. It is a solid metric that reflects the health of the project. In every chapter, Fleming and Koppelman stick with using simple stories to define their central concept. Their project examples range from peeling potatoes to building a house. Examples are in round numbers, and most formulas get no more complicated than one number divided by another. Earned Value Project Management—Second Edition may be the best-written, most easily understood project management book on the market today. Project managers will welcome this fresh translation of jargon into ordinary English. The authors have mastered a unique "early-warning" signal of impending cost problems in time for the project manager to react.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

    Dozens of key charts, tables, and graphs, including updated steam tables and two new charts of LMTD heat exchanger correction factors, make it possible to work most exam problems using the Reference Manual alone. A complete, easy-to-use index saves you valuable time during the exam as it helps you quickly locate important information needed to solve problems._____________________________Since 1975 more than 2 million people preparing for their engineering, surveying, architecture, LEED®, interior design, and landscape architecture exams have entrusted their exam prep to PPI. For more information, visit us at www.ppi2pass.com.

    This work offers accesible coverage of the fundamentals of electrodynamics, enhanced with with discussion points, examples and exercises.

    From the book, you learn why the field is important, both as a branch of engineering and as a science. If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence. The Knowledge You Need This completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth

    In this edition the authors have created a learning system that makes the chapters easier to navigate and provides a variety of ways for students to learn the material. "Learning Objectives" are now strategically placed throughout the chapter following major headings, and there are review questions at the ends of these major sections. "Chapter Summaries" are now organized around the "Learning Objectives" as well, making it easier for students to return to the place in the book that can help them work through the end-of-chapter material. Icons throughout the chapter direct students to the BiologyNow CD and tells them what they will find there. BiologyNow, the new Student CD-ROM for BIOLOGY Seventh Edition, is also based on these "Learning Objectives" to further reinforce the text's concepts. The BiologyNow CD, fully integrated with the Seventh Edition text, provides access to diagnostic pre-tests for each chapter. It also automatically generates customized learning plans for students, directing students to the information in the book, ancillaries and media program that will help them master specific concepts. Post-tests allow students to assess their progress as well. Personal Tutor with SMARTHINKING, a FREE online live tutoring service. Students can ask questions, get answers, and they don't need to set up appointments! For instructors, a Multimedia Manager provides the text art in PowerPoint form. Instructors also receive an Instructor's Guide, ExamView Electronic Testing and WebTutor course management options. Solomon, Berg, and Martin have gone beyond presenting facts for memorization -- they have created a well-designed pedagogical system through their use and reuse of chapter "Learning Objectives," which is supported by an unbelievable package of materials for instructors and students.