Don't Ever Look Behind Door 32 PDF Download
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Author: B.C.R. Fegan
Publisher: TaleBlade
ISBN: 0648101932
Category : Juvenile Fiction
Languages : en
Pages : 36
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Book Description
The magical Hotel of Hoo is a mysterious place with some very unusual occupants. As our guests explore the strange hotel, they are invited to experience everything it has to offer with just one warning… don’t ever look behind door 32. This imaginative picture book aims to take children beyond the first ten cardinal numbers, and introduces them to the patterns of counting in a fun and accessible way. With rooms to explore and unique objects to count, children will enjoy lingering on each page as they make their way closer to the forbidden door.
Author: B.C.R. Fegan
Publisher: TaleBlade
ISBN: 0648101932
Category : Juvenile Fiction
Languages : en
Pages : 36
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Book Description
The magical Hotel of Hoo is a mysterious place with some very unusual occupants. As our guests explore the strange hotel, they are invited to experience everything it has to offer with just one warning… don’t ever look behind door 32. This imaginative picture book aims to take children beyond the first ten cardinal numbers, and introduces them to the patterns of counting in a fun and accessible way. With rooms to explore and unique objects to count, children will enjoy lingering on each page as they make their way closer to the forbidden door.
Author: K S Gray
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 286
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Book Description
"YOU ARE LIVING A LIE. Everything about you is a lie..." This is a story about an ordinary woman, a mother of two. To most women, to most mothers, her life is relatable in every way. Except behind closed doors her truth comes with unimaginable consequences. Amid a night of fun and festivities, Isabella Walker found herself alone with a bold masked man at her front door. Unable to fight off her would-be abductor, the mother of two, soon found herself a victim of an extraordinary and grim circumstance. FBI agent Olivia Knight has investigated her fair share of bizarre cases. When she and Brock are called to the suburbs of Hidden Hills to investigate a strange abduction. Olivia quickly realizes that there's more to this case than a mere kidnapping. Why was Isabella Walker targeted? Is there more to this housewife and mother than meets the eyes? What is the truth behind the missing pieces of her past? As more questions arise and more questions remain unanswered. Olivia finds that to solve this case, to uncover the truth, she'll have to go undercover and face the Grim Reaper himself. Unfortunately, behind closed doors there are secrets that are worth taking to the grave...
Author: Saru Jayaraman
Publisher: Cornell University Press
ISBN: 0801467594
Category : Political Science
Languages : en
Pages : 207
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Book Description
"Sustainability is about contributing to a society that everybody benefits from, not just going organic because you don't want to die from cancer or have a difficult pregnancy. What is a sustainable restaurant? It's one in which as the restaurant grows, the people grow with it."-from Behind the Kitchen Door How do restaurant workers live on some of the lowest wages in America? And how do poor working conditions-discriminatory labor practices, exploitation, and unsanitary kitchens-affect the meals that arrive at our restaurant tables? Saru Jayaraman, who launched the national restaurant workers' organization Restaurant Opportunities Centers United, sets out to answer these questions by following the lives of restaurant workers in New York City, Washington, D.C., Philadelphia, Los Angeles, Chicago, Houston, Miami, Detroit, and New Orleans. Blending personal narrative and investigative journalism, Jayaraman shows us that the quality of the food that arrives at our restaurant tables depends not only on the sourcing of the ingredients. Our meals benefit from the attention and skill of the people who chop, grill, sauté, and serve. Behind the Kitchen Door is a groundbreaking exploration of the political, economic, and moral implications of dining out. Jayaraman focuses on the stories of individuals, like Daniel, who grew up on a farm in Ecuador and sought to improve the conditions for employees at Del Posto; the treatment of workers behind the scenes belied the high-toned Slow Food ethic on display in the front of the house. Increasingly, Americans are choosing to dine at restaurants that offer organic, fair-trade, and free-range ingredients for reasons of both health and ethics. Yet few of these diners are aware of the working conditions at the restaurants themselves. But whether you eat haute cuisine or fast food, the well-being of restaurant workers is a pressing concern, affecting our health and safety, local economies, and the life of our communities. Highlighting the roles of the 10 million people, many immigrants, many people of color, who bring their passion, tenacity, and vision to the American dining experience, Jayaraman sets out a bold agenda to raise the living standards of the nation's second-largest private sector workforce-and ensure that dining out is a positive experience on both sides of the kitchen door.
Author: Marilyn Vos Savant
Publisher: Saint Martin's Paperbacks
ISBN: 9780312951818
Category : Reference
Languages : en
Pages : 333
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Book Description
"Parade" magazine's resident genius compiles the best of her question-and-answer column that logically tackles the mysteries of the universe, brainteasers, and unique insights
Author: Robert Stalnaker
Publisher:
ISBN: 0198810342
Category : Mathematics
Languages : en
Pages : 263
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Book Description
Robert C. Stalnaker presents a set of essays on the structure of inquiry. In the first part he focuses on the concepts of knowledge, belief, and partial belief, and on the rules and procedures we use - or ought to use - to determine what to believe, and what to claim that we know. In the second part he examines conditional statements and conditional beliefs, their role in epistemology, and their relations to causal and explanatory concepts, such as dispositions, objective chance, relations of dependence, and independence. A central concern of the book is the interaction of different cognitive perspectives - the ways in which the attitudes of rational agents are or should be influenced by critical reflection on their present cognitive situation, on their own cognitive situations at other times, and on the cognitive situations of others with whom they interact. The general picture that is developed is naturalistic, following Hume in rejecting a substantive role for pure reason in the defense of inductive rules, and in giving causal concepts a central role in the description and explanation of our cognitive practices. However, Stalnaker rejects the side of Hume that aims to reduce concepts involving natural necessity to more basic descriptive concepts. Instead, he argues that the development of inductive rules and practices takes place in interaction with the development of concepts for giving a theoretical description of the world.
Author: Walter D. Wallis
Publisher: CRC Press
ISBN: 1498777627
Category : Mathematics
Languages : en
Pages : 311
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Book Description
What Is Combinatorics Anyway? Broadly speaking, combinatorics is the branch of mathematics dealing with different ways of selecting objects from a set or arranging objects. It tries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural questions: does there exist a selection or arrangement of objects with a particular set of properties? The authors have presented a text for students at all levels of preparation. For some, this will be the first course where the students see several real proofs. Others will have a good background in linear algebra, will have completed the calculus stream, and will have started abstract algebra. The text starts by briefly discussing several examples of typical combinatorial problems to give the reader a better idea of what the subject covers. The next chapters explore enumerative ideas and also probability. It then moves on to enumerative functions and the relations between them, and generating functions and recurrences., Important families of functions, or numbers and then theorems are presented. Brief introductions to computer algebra and group theory come next. Structures of particular interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. The authors conclude with further discussion of the interaction between linear algebra and combinatorics. Features Two new chapters on probability and posets. Numerous new illustrations, exercises, and problems. More examples on current technology use A thorough focus on accuracy Three appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes, Flexible use of MapleTM and MathematicaTM
Author: Lijing Wang
Publisher: Cambridge University Press
ISBN: 1009201417
Category : Science
Languages : en
Pages : 259
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Book Description
An accessible text providing data science foundations to address earth science questions using real-world case studies.
Author: Stephan Ramon Garcia
Publisher: American Mathematical Soc.
ISBN: 1470436523
Category : Mathematics
Languages : en
Pages : 597
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Book Description
This book is an outgrowth of a collection of 100 problems chosen to celebrate the 100th anniversary of the undergraduate math honor society Pi Mu Epsilon. Each chapter describes a problem or event, the progress made, and connections to entries from other years or other parts of mathematics. In places, some knowledge of analysis or algebra, number theory or probability will be helpful. Put together, these problems will be appealing and accessible to energetic and enthusiastic math majors and aficionados of all stripes. Stephan Ramon Garcia is WM Keck Distinguished Service Professor and professor of mathematics at Pomona College. He is the author of four books and over eighty research articles in operator theory, complex analysis, matrix analysis, number theory, discrete geometry, and other fields. He has coauthored dozens of articles with students, including one that appeared in The Best Writing on Mathematics: 2015. He is on the editorial boards of Notices of the AMS, Proceedings of the AMS, American Mathematical Monthly, Involve, and Annals of Functional Analysis. He received four NSF research grants as principal investigator and five teaching awards from three different institutions. He is a fellow of the American Mathematical Society and was the inaugural recipient of the Society's Dolciani Prize for Excellence in Research. Steven J. Miller is professor of mathematics at Williams College and a visiting assistant professor at Carnegie Mellon University. He has published five books and over one hundred research papers, most with students, in accounting, computer science, economics, geophysics, marketing, mathematics, operations research, physics, sabermetrics, and statistics. He has served on numerous editorial boards, including the Journal of Number Theory, Notices of the AMS, and the Pi Mu Epsilon Journal. He is active in enrichment and supplemental curricular initiatives for elementary and secondary mathematics, from the Teachers as Scholars Program and VCTAL (Value of Computational Thinking Across Grade Levels), to numerous math camps (the Eureka Program, HCSSiM, the Mathematics League International Summer Program, PROMYS, and the Ross Program). He is a fellow of the American Mathematical Society, an at-large senator for Phi Beta Kappa, and a member of the Mount Greylock Regional School Committee, where he sees firsthand the challenges of applying mathematics.
Author: Leighton Vaughan Williams
Publisher: CRC Press
ISBN: 1000458946
Category : Mathematics
Languages : en
Pages : 180
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Book Description
Much of our thinking is flawed because it is based on faulty intuition. By using the framework and tools of probability and statistics, we can overcome this to provide solutions to many real-world problems and paradoxes. We show how to do this, and find answers that are frequently very contrary to what we might expect. Along the way, we venture into diverse realms and thought experiments which challenge the way that we see the world. Features: An insightful and engaging discussion of some of the key ideas of probabilistic and statistical thinking Many classic and novel problems, paradoxes, and puzzles An exploration of some of the big questions involving the use of choice and reason in an uncertain world The application of probability, statistics, and Bayesian methods to a wide range of subjects, including economics, finance, law, and medicine Exercises, references, and links for those wishing to cross-reference or to probe further Solutions to exercises at the end of the book This book should serve as an invaluable and fascinating resource for university, college, and high school students who wish to extend their reading, as well as for teachers and lecturers who want to liven up their courses while retaining academic rigour. It will also appeal to anyone who wishes to develop skills with numbers or has an interest in the many statistical and other paradoxes that permeate our lives. Indeed, anyone studying the sciences, social sciences, or humanities on a formal or informal basis will enjoy and benefit from this book.
Author: Deepak K. Kanungo
Publisher: "O'Reilly Media, Inc."
ISBN: 1492097632
Category : Computers
Languages : en
Pages : 287
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Book Description
Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful in the current market environment. These ML systems provide realistic support for financial decision-making and risk management in the face of uncertainty and incomplete information. Probabilistic ML is the next generation ML framework and technology for AI-powered financial and investing systems for many reasons. They are generative ensembles that learn continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, prediction and counterfactual reasoning. By moving away from flawed statistical methodologies (and a restrictive conventional view of probability as a limiting frequency), you can embrace an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you why and how to make that transition.
