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Author: Katherine Heiny
Publisher: Vintage
ISBN: 0385353820
Category : Fiction
Languages : en
Pages : 299
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Book Description
TheSkimm’s Best of Skimm Reads NPR’s Guide to Great Reads The Washington Post’s 50 Notable Works of Fiction of the Year Minnesota Public Radio’s The Best Books to Give and Get: Fiction Picks of the Year An uproarious novel ("Both heart-piercing and, crucially, very funny." —Louise Erdrich, The New York Times) from the celebrated author of Single, Carefree, Mellow about the challenges of a good marriage, the delight and heartache of raising children, and the irresistible temptation to wonder about the path not taken. When Graham Cavanaugh divorced his first wife it was to marry his girlfriend, Audra, a woman as irrepressible as she is spontaneous and fun. But, Graham learns, life with Audra can also be exhausting, constantly interrupted by chatty phone calls, picky-eater houseguests, and invitations to weddings of people he’s never met. Audra firmly believes that through the sheer force of her personality she can overcome the most socially challenging interactions, shepherding her son through awkward playdates and origami club, and even deciding to establish a friendship with Graham’s first wife, Elspeth. Graham isn't sure he understands why Audra longs to be friends with the woman he divorced. After all, former spouses are hard to categorize—are they enemies, old flames, or just people you know really, really well? And as Graham and Audra share dinners, holidays, and late glasses of wine with his first wife he starts to wonder: How can anyone love two such different women? Did I make the right choice? Is there a right choice? A hilarious and rueful debut novel of love, marriage, infidelity, and origami, Standard Deviation never deviates from the superb.
Author: Katherine Heiny
Publisher: Vintage
ISBN: 0385353820
Category : Fiction
Languages : en
Pages : 299
Get Book
Book Description
TheSkimm’s Best of Skimm Reads NPR’s Guide to Great Reads The Washington Post’s 50 Notable Works of Fiction of the Year Minnesota Public Radio’s The Best Books to Give and Get: Fiction Picks of the Year An uproarious novel ("Both heart-piercing and, crucially, very funny." —Louise Erdrich, The New York Times) from the celebrated author of Single, Carefree, Mellow about the challenges of a good marriage, the delight and heartache of raising children, and the irresistible temptation to wonder about the path not taken. When Graham Cavanaugh divorced his first wife it was to marry his girlfriend, Audra, a woman as irrepressible as she is spontaneous and fun. But, Graham learns, life with Audra can also be exhausting, constantly interrupted by chatty phone calls, picky-eater houseguests, and invitations to weddings of people he’s never met. Audra firmly believes that through the sheer force of her personality she can overcome the most socially challenging interactions, shepherding her son through awkward playdates and origami club, and even deciding to establish a friendship with Graham’s first wife, Elspeth. Graham isn't sure he understands why Audra longs to be friends with the woman he divorced. After all, former spouses are hard to categorize—are they enemies, old flames, or just people you know really, really well? And as Graham and Audra share dinners, holidays, and late glasses of wine with his first wife he starts to wonder: How can anyone love two such different women? Did I make the right choice? Is there a right choice? A hilarious and rueful debut novel of love, marriage, infidelity, and origami, Standard Deviation never deviates from the superb.
Author: Katherine Heiny
Publisher: Vintage
ISBN: 0385353642
Category : Fiction
Languages : en
Pages : 208
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Book Description
For the commitment-averse women in these eleven sublime laugh-out-loud stories, falling in love is never easy and always inconvenient. “Single, Carefree, Mellow is a lot like the women who populate it: smart and sexy and a little bit ruthless.” —Entertainment Weekly “Something like Cheever mixed with Ephron.” —The New York Times Book Review Maya is in love with both her boyfriend and her boss. Sadie’s lover calls her as he drives to meet his wife at marriage counseling. Nina is more worried that the Presbyterian minister living above her garage will hear her kids swearing than that he will find out she’s sleeping with her running partner. The women grapple with love amidst everything from unwelcome houseguests to disastrous birthday parties as Katherine Heiny spins a debut that is superbly accomplished and endlessly entertaining.
Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
ISBN: 1119293529
Category : Mathematics
Languages : en
Pages : 423
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Book Description
The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
Author: Alexander Holmes
Publisher:
ISBN: 9781998109494
Category :
Languages : en
Pages : 0
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Book Description
Printed in color. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
Author: Friedrich-Wilhelm Wellmer
Publisher: Springer Science & Business Media
ISBN: 3642602622
Category : Science
Languages : en
Pages : 388
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Book Description
Statistical evaluations of exploration data are the basis for decisions to be made at various stages of an exploration project. In contrast to other geostatistical books, Statistical Evaluations in Exploration for Mineral Deposits focuses not only on theory, but examples are also given, frequently originating from experience in mineral exploration by the author who worked worldwide for a mining company. Together with its companion volume, Economic Evaluations in Exploration, the book illustrates methods used in exploration campaigns and mining activities. It is intended as a vademecum for geologists who are forced to make quick decisions regarding an exploration project. It also addresses scientists and students involved in teaching or in mineral economic evaluations, recommendations or decisions.
Author: Miodrag Lovric
Publisher: Springer Science & Business Media
ISBN: 3642048978
Category : Mathematics
Languages : en
Pages : 0
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Book Description
The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
Author: James Church
Publisher: Packt Publishing Ltd
ISBN: 178980860X
Category : Computers
Languages : en
Pages : 160
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Book Description
Put your Haskell skills to work and generate publication-ready visualizations in no time at all Key Features Take your data analysis skills to the next level using the power of Haskell Understand regression analysis, perform multivariate regression, and untangle different cluster varieties Create publication-ready visualizations of data Book Description Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner. This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world. By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis. What you will learn Learn to parse a CSV file and read data into the Haskell environment Create Haskell functions for common descriptive statistics functions Create an SQLite3 database using an existing CSV file Learn the versatility of SELECT queries for slicing data into smaller chunks Apply regular expressions in large-scale datasets using both CSV and SQLite3 files Create a Kernel Density Estimator visualization using normal distribution Who this book is for This book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style.
Author: Leo M. Keane
Publisher:
ISBN:
Category : Confidence intervals
Languages : en
Pages : 12
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Book Description
Author: Rodolfo Bonnin
Publisher: Packt Publishing Ltd
ISBN: 1786466961
Category : Computers
Languages : en
Pages : 264
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Book Description
Your one-stop guide to becoming a Machine Learning expert. About This Book Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning A highly practical guide explaining the concepts of problem solving in the easiest possible manner Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to know what Machine Learning is and is keen to use Machine Learning to make their day-to-day apps fast, high performing, and accurate. Any developer who wants to enter the field of Machine Learning can effectively use this book as an entry point. What You Will Learn Learn the math and mechanics of Machine Learning via a developer-friendly approach Get to grips with widely used Machine Learning algorithms/techniques and how to use them to solve real problems Get a feel for advanced concepts, using popular programming frameworks. Prepare yourself and other developers for working in the new ubiquitous field of Machine Learning Get an overview of the most well known and powerful tools, to solve computing problems using Machine Learning. Get an intuitive and down-to-earth introduction to current Machine Learning areas, and apply these concepts on interesting and cutting-edge problems. In Detail Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development. You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you'll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data. By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications. Style and approach This book gives you a glimpse of Machine Learning Models and the application of models at scale using clustering, classification, regression and reinforcement learning with fun examples. Hands-on examples will be presented to understand the power of problem solving with Machine Learning and Advanced architectures, software installation, and configuration.
Author: Carl Joseph West
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 160
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Book Description
