Chance For Rain Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Chance For Rain book. This book definitely worth reading, it is an incredibly well-written.
Elite athlete Rainey Abbott is an intense competitor on the outside, but inside, she feels a daunting apprehension about her chances of finding true love. Her life as a downhill skier and race car driver keeps her on the edge, but her love life is stuck in neutral. A tragedy from her past has left her feeling insecure and unlovable. Now that she's in her thirties, Rainey's best friend Natalie insists she take a leap and try online dating. Rainey connects with brian85 and becomes cautiously hopeful as a natural attraction grows between them. Fearful a face to face meeting could ruin the magic, Rainey enlists Natalie to scheme up an encounter between the two where Brian is unaware he is meeting his online mystery woman. Rainey is left feeling both guilty about the deception and disappointed by something Brian says. When they finally meet in earnest, Rainey's insecurities threaten to derail the blossoming romance. As she struggles with self-acceptance, she reveals the risks we all must take to have a chance for love.
"Weather For Dummies is probably the best book written for a general audience about the subject." ―BILL GATES Find out what's really going on when it seems like the sky is falling with Weather For Dummies What exactly is happening when the wind blows, the clouds roll in, lightning flashes, and rain pours down? How do hurricanes whip into a frenzy, and where do tornadoes come from? Why do seasonal conditions sometimes vary so much from one year to the next? The inner workings of the weather can be a mystery, but Dummies can help. Packed with dozens of maps, charts, and stunning photographs of weather conditions, Weather For Dummies brings the science of meteorology down to earth, covering everything from weather basics to cloud types, seasonal differences, extreme weather events, climate change, and beyond. You'll learn how to: Predict the weather and prepare a forecast Use common weather terminology like a pro Identify different types of clouds Spot weather conditions that can lead to storms, hurricanes, tornadoes, and monsoons Observe fun weather phenomena like lightning, rainbows, sundogs, and haloes Talk about what impact weather has on the global ecosystem Get a handle on smog, the greenhouse effect, global warming, and other climate issues Featuring clear explanations and fun and easy activities you can do at home, you'll be ready – rain or shine – for the ever-changing skies above with Weather For Dummies.
Developing Students’ Statistical Reasoning by Joan Garfield,Dani Ben-Zvi Pdf
Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to prepare statistically literate citizens. A major change is needed in how statistics is taught. To bring about this change, three dimensions of teacher knowledge need to be addressed: their knowledge of statistical content, their pedagogical knowledge, and their statistical-pedagogical knowledge, i.e., their specific knowledge about how to teach statistics. This book is written for mathematics and statistics educators and researchers. It summarizes the research and highlights the important concepts for teachers to emphasize, and shows the interrelationships among concepts. It makes specific suggestions regarding how to build classroom activities, integrate technological tools, and assess students’ learning. This is a unique book. While providing a wealth of examples through lessons and data sets, it is also the best attempt by members of our profession to integrate suggestions from research findings with statistics concepts and pedagogy. The book’s message about the importance of listening to research is loud and clear, as is its message about alternative ways of teaching statistics. This book will impact instructors, giving them pause to consider: "Is what I’m doing now really the best thing for my students? What could I do better?" J. Michael Shaughnessy, Professor, Dept of Mathematical Sciences, Portland State University, USA This is a much-needed text for linking research and practice in teaching statistics. The authors have provided a comprehensive overview of the current state-of-the-art in statistics education research. The insights they have gleaned from the literature should be tremendously helpful for those involved in teaching and researching introductory courses. Randall E. Groth, Assistant Professor of Mathematics Education, Salisbury University, USA
Big Data, Data Mining, and Machine Learning by Jared Dean Pdf
With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.
Data Driven Business Decisions by Chris J. Lloyd Pdf
A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel®, uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions. A basic, non-mathematical foundation in statistics is provided, outlining for readers the tools needed to link data with business decisions; account for uncertainty in the actions of others and in patterns revealed by data; handle data in Excel®; translate their analysis into simple business terms; and present results in simple tables and charts. The author discusses key data analytic frameworks, such as decision trees and multiple regression, and also explores additional topics, including: Use of the Excel® functions Solver and Goal Seek Partial correlation and auto-correlation Interactions and proportional variation in regression models Seasonal adjustment and what it reveals Basic portfolio theory as an introduction to correlations Chapters are introduced with case studies that integrate simple ideas into the larger business context, and are followed by further details, raw data, and motivating insights. Algebraic notation is used only when necessary, and throughout the book, the author utilizes real-world examples from diverse areas such as market surveys, finance, economics, and business ethics. Excel® add-ins StatproGo and TreePlan are showcased to demonstrate execution of the techniques, and a related website features extensive programming instructions as well as insights, data sets, and solutions to problems included in the material. Data Driven Business Decisions is an excellent book for MBA quantitative analysis courses or undergraduate general statistics courses. It also serves as a valuable reference for practicing MBAs and practitioners in the fields of statistics, business, and finance.
This new edition brings the fascinating and intriguing history of mathematics to life The Second Edition of this internationally acclaimed text has been thoroughly revised, updated, and reorganized to give readers a fresh perspective on the evolution of mathematics. Written by one of the world's leading experts on the history of mathematics, the book details the key historical developments in the field, providing an understanding and appreciation of how mathematics influences today's science, art, music, literature, and society. In the first edition, each chapter was devoted to a single culture. This Second Edition is organized by subject matter: a general survey of mathematics in many cultures, arithmetic, geometry, algebra, analysis, and mathematical inference. This new organization enables students to focus on one complete topic and, at the same time, compare how different cultures approached each topic. Many new photographs and diagrams have been added to this edition to enhance the presentation. The text is divided into seven parts: The World of Mathematics and the Mathematics of the World, including the origin and prehistory of mathematics, cultural surveys, and women mathematicians Numbers, including counting, calculation, ancient number theory, and numbers and number theory in modern mathematics Color Plates, illustrating the impact of mathematics on civilizations from Egypt to Japan to Mexico to modern Europe Space, including measurement, Euclidean geometry, post-Euclidean geometry, and modern geometrics Algebra, including problems leading to algebra, equations and methods, and modern algebra Analysis, including the calculus, real, and complex analysis Mathematical Inference, including probability and statistics, and logic and set theory As readers progress through the text, they learn about the evolution of each topic, how different cultures devised their own solutions, and how these solutions enabled the cultures to develop and progress. In addition, readers will meet some of the greatest mathematicians of the ages, who helped lay the groundwork for today's science and technology. The book's lively approach makes it appropriate for anyone interested in learning how the field of mathematics came to be what it is today. It can also serve as a textbook for undergraduate or graduate-level courses. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.
There are plenty of books on specialized risk topics but few that deal with the broad diversity and daily applicability of this subject. Risk applications require a robust knowledge of many attributes of this seemingly simple subject. This book teaches the reader through examples and case studies the fundamental (and subtle) aspects of risk - regardless of the specific situation. The text allows the reader to understand the concept of risk analysis while not getting too involved in the mathematics; in this method the reader can apply these techniques across a wide range of situations. The second edition includes new examples from NASA and several other industries as well as new case studies from legal databases. The many real-life discussion topics enable the reader to form an understanding of the concepts of risk and risk management and apply them to day-to-day issues.
Statistical illiteracy can have an enormously negative impact on decision making. This volume of collected papers brings together applied and theoretical research on risks and decision making across the fields of medicine, psychology, and economics. Collectively, the essays demonstrate why the frame in which statistics are communicated is essential for broader understanding and sound decision making, and that understanding risks and uncertainty has wide-reaching implications for daily life. Gerd Gigerenzer provides a lucid review and catalog of concrete instances of heuristics, or rules of thumb, that people and animals rely on to make decisions under uncertainty, explaining why these are very often more rational than probability models. After a critical look at behavioral theories that do not model actual psychological processes, the book concludes with a call for a heuristic revolution that will enable us to understand the ecological rationality of both statistics and heuristics, and bring a dose of sanity to the study of rationality.
Cloudy with a Chance of Rain by Patricia Balentine Pdf
The glamorous world of music and fashion set the stage as the story takes you on a sexy, and compelling journey into their world. Your heart will be torn in several different directions as you step inside and share their joy and their pain. Lanise Avery is a gorgeous and talented Supermodel who is a big name in the fashion world. Lanise is married to handsome and sexy Record Producer, Tyrese Langston, whose business is on the rise. They love each other very much, but every relationship has problems, and Lanise can't forgive herself for disappointing her family and friends. Sparks fly and the road gets bumpy when her emotions become harder and harder to contain. Life is rarely easy when it comes to matters of the heart. Situations like this can make your sunny day 'Cloudy With a Chance of Rain.' ASK YOURSELF...WHAT WOULD YOU DO?
Advances in Soft Computing by Lourdes Martínez-Villaseñor,Ildar Batyrshin,Antonio Marín-Hernández Pdf
This volume constitutes the proceedings of the 18th Mexican Conference on Artificial Intelligence, MICAI 2019, held in Xalapa, Mexico, in October/November 2019. The 59 full papers presented in this volume were carefully reviewed and selected from 148 submissions. They cover topics such as: machine learning; optimization and planning; fuzzy systems, reasoning and intelligent applications; and vision and robotics.
The Failure of Risk Management by Douglas W. Hubbard Pdf
A practical guide to adopting an accurate risk analysis methodology The Failure of Risk Management provides effective solutionstosignificantfaults in current risk analysis methods. Conventional approaches to managing risk lack accurate quantitative analysis methods, yielding strategies that can actually make things worse. Many widely used methods have no systems to measure performance, resulting in inaccurate selection and ineffective application of risk management strategies. These fundamental flaws propagate unrealistic perceptions of risk in business, government, and the general public. This book provides expert examination of essential areas of risk management, including risk assessment and evaluation methods, risk mitigation strategies, common errors in quantitative models, and more. Guidance on topics such as probability modelling and empirical inputs emphasizes the efficacy of appropriate risk methodology in practical applications. Recognized as a leader in the field of risk management, author Douglas W. Hubbard combines science-based analysis with real-world examples to present a detailed investigation of risk management practices. This revised and updated second edition includes updated data sets and checklists, expanded coverage of innovative statistical methods, and new cases of current risk management issues such as data breaches and natural disasters. Identify deficiencies in your current risk management strategy and take appropriate corrective measures Adopt a calibrated approach to risk analysis using up-to-date statistical tools Employ accurate quantitative risk analysis and modelling methods Keep pace with new developments in the rapidly expanding risk analysis industry Risk analysis is a vital component of government policy, public safety, banking and finance, and many other public and private institutions. The Failure of Risk Management: Why It's Broken and How to Fix It is a valuable resource for business leaders, policy makers, managers, consultants, and practitioners across industries.
Fundamentals of Probability: A First Course by Anirban DasGupta Pdf
Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel.
Handbook of Philosophical Logic by Dov M. Gabbay,Franz Guenthner Pdf
The fourteenth volume of the Second Edition covers central topics in philosophical logic that have been studied for thousands of years, since Aristotle: Inconsistency, Causality, Conditionals, and Quantifiers. These topics are central in many applications of logic in central disciplines and this book is indispensable to any advanced student or researcher using logic in these areas. The chapters are comprehensive and written by major figures in the field.
We evaluate people all the time for a wide variety of activities. We blame them for miscalculations, uninspired art, and committing crimes. We praise them for detailed brushwork, a superb pass, and their acts of kindness. We accomplish things, from solving crosswords to mastering guitar solos. We bungle our endeavors, whether this is letting a friend down or burning dinner. Sometimes these deeds are morally significant, but many times they are not. Simply Responsible defends the radical proposal that the blameworthy artist is responsible in just the same way that the blameworthy thief is. We can be responsible for all kinds of different activities, from lip-synching to long division, from murders to meringues, but the relation involved, what author Matt King calls the basic responsibility relation, is the same in every case. We are responsible for the things we do first, then blameworthy or praiseworthy for having done them in light of whether they're good or bad, according to a variety of standards. Why is this a radical proposal? Firstly, because so much of the contemporary literature on moral responsibility has moralized its nature. According to most accounts, moral responsibility is either a special species of responsibility or else depends on moralized capacities. In contrast, King argues that we get a more complete and unifying picture of responsible agency from a more general theory of responsibility. Secondly, the proposal is radical due to its drastic simplicity. King foregoes many of the complications that feature in other accounts of responsibility, arguing that we can make do with less demanding theoretical elements.