Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    Is it Rita's years of PMP exam preparation experience? The endless hours of ongoing research? The interviews with project managers who failed the exam, to identify gaps in their knowledge? Or is it the razor-sharp focus on making sure project managers don't waste a single minute of their time studying any more than they absolutely have to? Actually, it's all of the above. PMP Exam Prep, Sixth Edition by Rita Mulcahy contains hundreds of updates and improvements from previous editions--including new exercises and sample questions never before in print. Offering hundreds of sample questions, critical time-saving tips plus games and activities available nowhere else, this book will help you pass the PMP exam on your first try.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Alphabetically organized and easy to use, its nearly 400 entries provide guidance for the most common types of professional documents and correspondence, including reports, proposals, manuals, memos, and white papers. Abundant sample documents and visuals throughout the book demonstrate effective technical communication, reflecting current practices for formatting documents and using e-mail. In addition, advice on organizing, researching, writing, and revising complements thorough treatment of grammar, usage, style, and punctuation to provide comprehensive help with writing skills. This edition has been thoroughly revised to include expanded advice for analyzing the context of different writing situations, using and integrating visuals, and dealing with ethical concerns in technical writing. Improved coverage of research now includes guidelines for IEEE-style documentation as well as clearer explanations of copyright and plagiarism concerns. Entries throughout the book have been revised, updated, consolidated, and streamlined to provide the most accurate and accessible information. Comprehensive yet concise, the Handbook of Technical Writing remains the quick reference faithful users have come to appreciate.

    The text is rounded off by rich, relevant, and teachable cases. This text's accessible writing style and wealth of new and updated illustrations, which clarify the most difficult topics, make this text the best resource for your students. The new case selections emphasize variety, currency, and familiar company names. The cases are up-to-date in terms of both financial data and strategic issues. This group of cases gives both instructors and students unparalleled quality and variety. Based on consistent reviewer feedback, these selections combine comprehensive and shorter length cases about well known companies.

    This new edition continues its tradition of providing the most comprehensive and up-to-date content available today. New chapters on medical nutrition therapy for psychiatric disease and developmental disorders spotlight the advances made in these areas. Extensive appendices, tables, illustrations, figures, and clinical insight boxes give practical hands-on procedures and clinical tools with the most current information, including brand-new guidelines on food intake and physical activity, and highlight the inclusion of the new food guide pyramid, MyPyramid, to use in everyday practice.Edited by two leading experts in nutrition, L. Kathleen Mahan and Sylvia Escott-Stump, and written by nationally recognized contributors to ensure that all information is comprehensive and current.Hundreds of full-color illustrations bring nutrition therapy to life and provide a realistic representation of clinical practice.UNIQUE! Pathophysiology algorithms present the cause, pathophysiology, and the medical nutrition management for a variety of disorders and conditions, helping you better understand the illness process and provide optimum nutritional care.Clinical Insight, New Directions, and Focus On... boxes provide additional information and suggest further discussion, study, or research.Clinical Scenarios offer case studies that help you apply what you've learned to real-world situations.Relevant websites direct you to online resources for further information on specific chapter topics.Key Terms are defined at the beginning of each chapter and highlighted within the text to help you focus your study and test your mastery of the information.Evolve Student Resource contains WebLinks and more than 1,000 self-assessment study questions that provide instant feedback.Medical Nutrition Therapy for Psychiatric Conditions chapter explores recent research into the links between nutrition and mental disorders such as Alzheimer's disease, anxiety disorder, bipolar disorder, dementia, depression, and schizophrenia.Medical Nutrition Therapy for Developmental Disabilities chapter looks at the unique nutritional needs of individuals with ADHD, Downs syndrome, cerebral palsy, and muscular dystrophy and the role medical nutrition therapy plays in providing effective care.Information on energy, macronutrients, vitamins, and minerals is now summarized in easy-to-read, need-to-know tables and bulleted lists, providing a quick review of basic nutrition.Updated information on the Dietary Guidelines for Americans 2005 and MyPyramid presents information on the newest recommendations for nutrients and physical activity throughout the text, while integrating the customizable MyPyramid into plans of care.Sample Nutrition Diagnosis boxes in each chapter present a problem, its etiology, and its signs and symptoms before concluding with a sample nutrition diagnosis, providing you with real-life scenarios you may encounter in practice.Nutritional Facts in the appendices put the content of the chapter into a practical and convenient format that students and dietetics professionals can use in their education of the client on necessary nutritional care.Updated content is provided on the new Dietary Reference Intakes, the 2000 Dietary Guidelines and Healthy People 2010.New information is included on type 2 diabetes and prediabetes.The newest guidelines released by the National Institute of Health to assist with implementing the DASH diet for effective management of hypertension.The latest information is presented on dietary supplementation and integrative care, with cutting-edge evidence of how the nursing care process is changing to provide better care.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Japanese/English.

    But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects and administrators must consider when building, managing, and evolving microservice architectures.Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You'll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.Discover how microservices allow you to align your system design with your organization's goalsLearn options for integrating a service with the rest of your systemTake an incremental approach when splitting monolithic codebasesDeploy individual microservices through continuous integrationExamine the complexities of testing and monitoring distributed servicesManage security with user-to-service and service-to-service modelsUnderstand the challenges of scaling microservice architectures

    This book explains the technical aspects of hacking, including stack based overflows, heap based overflows, string exploits, return-into-libc, shellcode, and cryptographic attacks on 802.11b.

    

    This book leads the reader from simple graphs through planar graphs, Euler's formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, more. Includes exercises. 1976 edition.

    This Eighth Edition redefines the high standard set by previous editions. It offers the best balance of rigor and accessibility, the most current research, and the most thorough technology integration available for your course--all presented within a unique modular format that supports student mastery and provides instructors with maximum teaching flexibility. In every chapter, Kalat accurately portrays biopsychology as a dynamic and empirical field in which fascinating new discoveries are constantly being made. He captures readers' interest with the latest biological psychology findings, such as how gingko biloba claims to aid memory and coverage of the hypothesis that humans' mate choice patterns are influenced by natural selection. Throughout, the author's goal is not only to convey information, but also to convey his excitement about and dedication to the subject.

    This text concisely describes the Python language and its programming environment for those readers already familiar with languages such as C and C++.

    By “reverse engineering the fastest growing company in the history of the world,” author Jeff Jarvis, proprietor of Buzzmachine.com, one of the Web’s most widely respected media blogs, offers indispensible strategies for solving the toughest new problems facing businesses today. With a new afterword from the author, What Would Google Do? is the business book that every leader or potential leader in every industry must read.