Pure Substances, The First And Second Laws, Gases, Psychrometrics, The Vapor, Gas And Refrigeration Cycles, Heat Transfer, Compressible Flow, Chemical Reactions, Fuels, And More Are Presented In Detail And Enhanced With Practical Applications. This Version Presents The Material Using SI Units And Has Ample Material On SI Conversion, Steam Tables, And A Mollier Diagram. A CD-ROM, Included With The Print Version Of The Text, Includes A Fully Functional Version Of Quickfield (Widely Used In Industry), As Well As Numerous Demonstrations And Simulations With MATLAB, And Other Third Party Software.

    

    Properly understood, they can tell us how the teams we root for could employ better strategies, put more effective players on the field, and win more games. The revolution in baseball statistics that began in the 1970s is a controversial subject that professionals and fans alike argue over without end. Despite this fundamental change in the way we watch and understand the sport, no one has written the book that reveals, across every area of strategy and management, how the best practitioners of statistical analysis in baseball-people like Bill James, Billy Beane, and Theo Epstein-think about numbers and the game. Baseball Between the Numbers is that book. In separate chapters covering every aspect of the game, from hitting, pitching, and fielding to roster construction and the scouting and drafting of players, the experts at Baseball Prospectus examine the subtle, hidden aspects of the game, bring them out into the open, and show us how our favorite teams could win more games. This is a book that every fan, every follower of sports radio, every fantasy player, every coach, and every player, at every level, can learn from and enjoy.

    You will have numerous opportunities to practice statistical techniques through learning checks, examples, demonstrations, and problems. Exam preparation is made easy with a student companion website that provides tutorials, crossword puzzles, flashcards, learning objectives, and more!

    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

    The first chapter describes basic features of the program and shows how to use it in simple arithmetic operations with scalars. The next two chapters focus on the topic of arrays (the basis of MATLAB), while the remaining text covers a wide range of other applications. Computer screens, tutorials, samples, and homework questions in math, science, and engineering, provide the student with the practical hands-on experience needed for total proficiency.

    Over 100 problems at ends of chapters. Answers in back of book. 1962 edition.

    Using video links, IP Factly's Amazing Animal series has been designed to encourage and bolster independent reading. The animals are accompanied by pictures and facts plus video links so children can see the animals and how they behave.

    Among the old chestnuts he cracks wide open are the following classics: Knights and knaves The monk and the mountain The dominoes and the chessboard The unexpected hanging The Tower of HanoiUsing real-world analogies, infectious humor, and a fresh approach, this deceptively simple volume will challenge, amuse, enlighten, and surprise even the most experienced puzzle solver.

    From the optimizing individual to game theory to price theory, The Cartoon Introduction to Economics is the most digestible, explicable, and humorous 200-page introduction to microeconomics you'll ever read.Bauman has put the "comedy" into "economy" at comedy clubs and universities around the country and around the world (his "Principles of Economics, Translated" is a YouTube cult classic). As an educator at both the university and high school levels, he has learned how to make economics relevant to today's world and today's students. As Google's chief economist, Hal Varian, wrote, "You don't need a brand-new economics. You just need to see the really cool stuff, the material they didn't get to when you studied economics." The Cartoon Introduction to Economics is all about integrating the really cool stuff into an overview of the entire discipline of microeconomics, from decision trees to game trees to taxes and thinking at the margin.Rendering the cool stuff fun is the artistry of the illustrator and lauded graphic novelist Klein. Panel by panel, page by page, he puts comics into economics. So if the vertiginous economy or a dour professor's 600-page econ textbook has you desperate for a fun, factual guide to economics, reach for The Cartoon Introduction to Economics and let the collaborative genius of the Klein-Bauman team walk you through an entire introductory microeconomics course.

    With an eye-catching design, full-color illustrations, and helpful, practical boxed features that highlight need-to-know information, the new edition of this bestseller continues its tradition of making pharmacology easy to learn and understand.A focus on prioritization identifies key nursing information and helps in preparation for the NCLEX(R) Examination.Presents drugs and their classes as they relate to different parts of the body, facilitating integration of the text with your other nursing courses.Features numerous full-color photos and illustrations pertaining to drug mechanisms of action and step-by-step illustrations depicting key steps in drug administration for various routes, so you can clearly see how drugs work in the body and how to administer medications safely and effectively.Drug Profiles highlight the pharmacokinetics and unique variations of individual drugs.Includes Patient Teaching Tips in each chapter to foster patient compliance and effective drug therapy.Helpful summary boxes are integrated throughout, covering Evidence-Based Practice, Preventing Medication Errors, Laboratory Values Related to Drug Therapy, Cultural Implications, Herbal Therapies, Life Span Considerations, Points to Remember, and Legal and Ethical Principles.Illustrated Study Skills Tips in each unit cover study tips, time management, and test taking strategies related specifically to nursing pharmacology.Includes a convenient tear-out IV Compatibilities Chart that alerts you to drugs that are incompatible when given intravenously.Evolve Student Resources include online access to additional chapter-specific NCLEX(R) review questions, animations, medication errors checklists, IV therapy checklists, printable handouts with need-to-know information about key drug classes, calculators, an audio glossary, answers to case studies and critical thinking activities in the text, frequently asked questions, content updates, nursing care plans covering key drug classes, and online appendices. Critical Thinking Activities and Best Action Questions focus on prioritization, challenging you to determine the best action to take.NCLEX(R) Examination Review Questions now include Alternate-Item Format questions, preparing you for these new types of questions found on the NCLEX(R) exam.New case studies have been added, and all cases now include patient photos along with accompanying questions to provoke critical thinking.Pharmacokinetic Bridges to the Nursing Process sections now cover ACE inhibitors, iron, and women's health issues applying key pharmacokinetics information to nursing practice.

    The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Each sketch contains Questions and Projects to help you learn more about its topic and to see how its main ideas fit into the bigger picture of history. The 25 short stories are preceded by a 56-page bird's-eye overview of the entire panorama of mathematical history, a whirlwind tour of the most important people, events, and trends that shaped the mathematics we know today. Reading suggestions after each sketch provide starting points for readers who want to pursue a topic further."

    This ninth edition covers both analytical and empirical approaches to the subject. The examples and templates provide students with resources for computer-numerical solutions.