Introductory Graph Theory presents a nontechnical introduction to this exciting field in a clear, lively, and informative style. Author Gary Chartrand covers the important elementary topics of graph theory and its applications. In addition, he presents a large variety of proofs designed to strengthen mathematical techniques and offers challenging opportunities to have fun with mathematics. Ten major topics — profusely illustrated — include: Mathematical Models, Elementary Concepts of Graph Theory, Transportation Problems, Connection Problems, Party Problems, Digraphs and Mathematical Models, Games and Puzzles, Graphs and Social Psychology, Planar Graphs and Coloring Problems, and Graphs and Other Mathematics. A useful Appendix covers Sets, Relations, Functions, and Proofs, and a section devoted to exercises — with answers, hints, and solutions — is especially valuable to anyone encountering graph theory for the first time. Undergraduate mathematics students at every level, puzzlists, and mathematical hobbyists will find well-organized coverage of the fundamentals of graph theory in this highly readable and thoroughly enjoyable book.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Organized according to the elements of explicit instruction (what? why? when? and how?), the Sourcebook includes both research-informed knowledge base and practical sample lesson models. Like the first edition, the updated and revised second edition of the Teaching Reading Sourcebook combines the best features of an academic text and a practical hands-on teacher's guide. It is an indispensable resource for teaching reading and language arts to both beginning and older struggling readers.New to the Teaching Reading Sourcebook, 2nd Edition:All new sample lesson modelsMore reproducible activity mastersA whole new section on reading fluencyMore about letter knowledge and multisyllabic word readingMore about the comprehension strategies that good readers useUseful information about the Comprehensive Reading Model (Three-tier Model)Highly respected contributing authors who are experts in the field of reading

    A major section provides background and information on neurons and the brain. This text is directed primarily toward undergraduate students at junior and senior level.

    An invaluable resource for any manager or professional, this book offers a collection of proven, practical methods for simplifying any problem and making faster, better decisions every time.

    Concepts and techniques included in the chapters and problem sets are used in many careers related to real estate. The material in this edition is also relevant to individuals who want to better understand real estate for their own personal investment and financing decisions.The Fourteenth Edition is designed to help students learn how to evaluate the risk and return associated with the various ways of investing and lending. Upcoming students who are interested in this field can use this book as a guide to perform the right kind of analysis to make informed real estate finance and investment decisions.

    Surveying the vast diversity of family forms, life challenges, and value systems in our rapidly changing society, the volume has helped redefine the boundaries of "normal family life" for generations of students and practitioners. This fully revised and expanded third edition once again brings together leading contributors to illuminate the complexities of healthy family functioning across varied structural arrangements and sociocultural and developmental contexts. Existing chapters have been updated or fully rewritten to reflect the latest theories, research, demographic trends, and clinical practices. Seven entirely new chapters address single parent families, immigrant families, spirituality, family resilience, key processes in marital success and failure, and more.

    Written by bestselling author Peter Pande, What Is Six Sigma? is a concise summary of the core themes and processes of Six Sigma. Unlike almost all other books on Six Sigma, it is written for the employees of organizations rolling out Six Sigma--not just managers. This helpful overview describes what Six Sigma is, why companies are implementing it, and how employees can make it a success in their own organizations.Based on the bestselling The Six Sigma Way, this accessable introduction to Six Sigma answers typical employee questions, concerns, and even skepticism about this revolutionary program. Includes:The six themes of Six SigmaA five-step roadmap to Six Sigma implementationThe 10 basic tools of Six Sigma, with an entire page devoted to each

    They are built with the objective of providing assessment, review, and practice to help ensure you are fully prepared for your certification exam. Master Cisco CCENT/CCNA ICND1 100-105 exam topics Assess your knowledge with chapter-opening quizzes Review key concepts with exam preparation tasks This is the eBook edition of the CCENT/CCNA ICND1 100-105 Official Cert Guide. This eBook does not include the companion CD-ROM with practice exam that comes with the print edition.   CCENT/CCNA ICND1 100-105 Official Cert Guide presents you with an organized test-preparation routine through the use of proven series elements and techniques. “Do I Know This Already?” quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly.   CCENT/CCNA ICND1 100-105 Official Cert Guide from Cisco Press enables you to succeed on the exam the first time and is the only self-study resource approved by Cisco. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills.   This complete study package includes   ·         A test-preparation routine proven to help you pass the exams ·         Do I Know This Already? quizzes, which enable you to decide how much time you need to spend on each section ·         Chapter-ending and part-ending exercises, which help you drill on key concepts you must know thoroughly ·         Troubleshooting sections, which help you master the complex scenarios you will face on the exam ·         A free copy of the CCENT ICND1 100-105 Network Simulator Lite software, complete with meaningful lab exercises that help you hone your hands-on skills with the command-line interface for routers and switches ·         Links to a series of hands-on config labs developed by the author ·         Online, interactive practice exercises that help you hone your knowledge ·         More than 90 minutes of video mentoring from the author ·         A final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies ·         Study plan suggestions and templates to help you organize and optimize your study time   Well regarded for its level of detail, study plans, assessment features, challenging review questions and exercises, video instruction, and hands-on labs, this official study guide helps you master the concepts and techniques that ensure your exam success.   This official study guide helps you master all the topics on the CCENT/CCNA ICND1 exam, including ·         Networking fundamentals ·         Implementing basic Ethernet LANs ·         Ethernet LANs: design, VLANs, and troubleshooting ·         IPv4 addressing and subnetting ·         Implementing IPv4 ·         IPv4 design and troubleshooting ...

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

    It is planned to give a solid basis of the structures and vocabulary of English. Each book contains material for about a year's work, the vocabulary rising to some 3,000 words.The Teacher's Books provide notes on each lesson, the vocabulary to be taught, supplementary grammatical material and answers to exercises.In this new edition some of the grammatical sections have been, rewritten and expanded, and parts of the text and many illustrations have been brought up to date. Fundamentally, however, the new edition remains the same as previous editions.

    Crafted and edited with care, Worth Books set the standard for quality and give you the tools you need to be a well-informed reader.    This short summary and analysis of The Handmaid’s Tale by Margaret Atwood includes:   Historical context Part-by-part summaries Analysis of the main characters Themes and symbols Important quotes Fascinating trivia Glossary of terms Supporting material to enhance your understanding of the original work   About Margaret Atwood’s The Handmaid’s Tale:   Margaret Atwood’s dystopian literary masterpiece tells the story of Offred, a Handmaid living in the near future in what was once the United States. A new theocratic regime called the Republic of Gilead has come to power and changed life as she knew it.   Once Offred had a her own name and a loving family—a husband and daughter—both of which were taken from her; now she belongs to the Commander and his hostile wife, and her only value lies in her ability to bear a child for them. She used to read books and learn; now such things are forbidden to all women.   Gripping, disturbing, and so relevant today, The Handmaid’s Tale is a brilliant novel and a chilling warning about what can happen when extreme ideas are taken to their logical conclusions.   The summary and analysis in this ebook are intended to complement your reading experience and bring you closer to a great work of fiction.

    Expertly designed in a vibrant, full-color format, this streamlined text not only serves as a valuable resource by providing the most current reference lists and examples from which to select texts from all genres, but it also emphasizes the critical skills needed to search for and select literature--researching, evaluating, and implementing quality books in the pre-K-to-8 classroom--to give readers the tools they need to evaluate books, create curriculum, and share the love of literature. It includes unique features that spur critical thinking and direct application in the classroom and curriculum.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.