Playing Dice With The Data
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Democracy S Data
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Author : Dan Bouk
language : en
Publisher: MCD
Release Date : 2022-08-23
Democracy S Data written by Dan Bouk and has been published by MCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-23 with History categories.
ONE OF THE NEW YORK TIMES BOOK REVIEW'S 100 NOTABLE BOOKS OF 2022 From the historian Dan Bouk, a lesson in reading between the lines of the U.S. census to uncover the stories behind the data. The census isn’t just a data-collection process; it’s a ritual, and a tool, of American democracy. Behind every neat grid of numbers is a collage of messy, human stories—you just have to know how to read them. In Democracy’s Data, the data historian Dan Bouk examines the 1940 U.S. census, uncovering what those numbers both condense and cleverly abstract: a universe of meaning and uncertainty, of cultural negotiation and political struggle. He introduces us to the men and women employed as census takers, bringing us with them as they go door to door, recording the lives of their neighbors. He takes us into the makeshift halls of the Census Bureau, where hundreds of civil servants, not to mention machines, labored with pencil and paper to divide and conquer the nation’s data. And he uses these little points to paint bigger pictures, such as of the ruling hand of white supremacy, the place of queer people in straight systems, and the struggle of ordinary people to be seen by the state as they see themselves. The 1940 census is a crucial entry in American history, a controversial dataset that enabled the creation of New Deal era social programs, but that also, with the advent of World War Two, would be weaponized against many of the citizens whom it was supposed to serve. In our age of quantification, Democracy’s Data not only teaches us how to read between the lines but gives us a new perspective on the relationship between representation, identity, and governance today.
Solving Problems And Handling Data
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Author : David Clemson
language : en
Publisher: Nelson Thornes
Release Date : 2002
Solving Problems And Handling Data written by David Clemson and has been published by Nelson Thornes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Education categories.
Maths Action Plans is a series of four books for Years 4-6/P5-7, offering flexible, supportive teacher and pupil resources and coherent coverage of the five strands of the Framework for Teaching Mathematics. The series provides inspiring, flexible activities that can be fitted into any maths scheme. Each title contains: clear learning objectives, linked to the Framework for Teaching Maths, the National Curriculum Programme of Study and the 5-14 National Guidelines for Mathematics; lesson plans with up to three levels of differentiation; supplementary activities for consolidation or linked work; and suggestions for the application of ICT skills.
A First Course In Probability For Computer And Data Science
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Author : Henk Tijms
language : en
Publisher: World Scientific
Release Date : 2023-06-20
A First Course In Probability For Computer And Data Science written by Henk Tijms and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Mathematics categories.
In this undergraduate text, the author has distilled the core of probabilistic ideas and methods for computer and data science. The book emphasizes probabilistic and computational thinking rather than theorems and proofs. It provides insights and motivates the students by telling them why probability works and how to apply it.The unique features of the book are as follows:This book contains many worked examples. Numerous instructive problems scattered throughout the text are given along with problem-solving strategies. Several of the problems extend previously covered material. Answers to all problems and worked-out solutions to selected problems are also provided.Henk Tijms is the author of several textbooks in the area of applied probability and stochastic optimization. In 2008, he received the prestigious INFORMS Expository Writing Award for his work. He also contributed engaging probability puzzles to The New York Times' former Numberplay column.
A Data Analytic Evaluation Of Singapore Mahjong
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Author : Karl Weiss
language : en
Publisher: Karl Weiss
Release Date : 2023-07-16
A Data Analytic Evaluation Of Singapore Mahjong written by Karl Weiss and has been published by Karl Weiss this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-16 with Games & Activities categories.
Singapore Mahjong is a complex and multi-dimensional game of skill and luck. Most Singapore Mahjong players learn from their experience. However, lessons learned from experience can be incomplete, misleading, and imprecise. If you have played Singapore Mahjong, then you may have wondered about the following. What are the most optimal ways to play my tiles? What are the actual risks associated with discarding unsafe tiles? More specifically, what is the chance that an opponent would Pong a fresh East Wind discarded tile towards the end of a game? How much of my winning are due to luck or skill? Is it ever a good idea to play a 13 wonders game? How can I learn to make better decisions when playing Singapore Mahjong? If you have thought about these or similar questions, then you will be interested in this book. This is the first book to present comprehensive data analytic information on Singapore Mahjong. This is accomplished by using sophisticated computer programs that simulate individual Singapore Mahjong scenarios to determine the best outcomes. These computer simulations are run millions of times for each individual scenario. From these computer simulations, data analytic information is derived which is presented in this book. You might be thinking that data analytics sound difficult and complicated to understand. The information in this book is presented in easy to understand language with supporting examples and pictures. This book is not for everyone. Some players are very content to play with the lessons learned from experience. However, if you are interested in obtaining a deeper understanding of Singapore Mahjong and you are not intimidated by statistics, then this book is ideally suited for you. Also, there is a website associated with this book where you can play Singapore Mahjong against computer opponents to improve your Singapore Mahjong skills.
Grokking Data Structures
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Author : Marcello La Rocca
language : en
Publisher: Simon and Schuster
Release Date : 2024-08-13
Grokking Data Structures written by Marcello La Rocca and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Computers categories.
Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You'll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons.
Probability Statistics And Data
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Author : Darrin Speegle
language : en
Publisher: CRC Press
Release Date : 2021-11-25
Probability Statistics And Data written by Darrin Speegle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-25 with Business & Economics categories.
This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested. The exercises in the book have been added to to the free and open online homework system myopenmath (https://www.myopenmath.com/) which may be useful to instructors.
Applying Data Science
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Author : Gerhard Svolba
language : en
Publisher: SAS Institute
Release Date : 2017-03-29
Applying Data Science written by Gerhard Svolba and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-29 with Computers categories.
See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code. The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more! Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.
A Friendly Guide To Data Science
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Author : Kelly P. Vincent
language : en
Publisher: Springer Nature
Release Date : 2025-06-26
A Friendly Guide To Data Science written by Kelly P. Vincent and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-26 with Computers categories.
Unlock the world of data science—no coding required. Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics—what data analysis involves, which skills are useful, and how terms like “data analytics” and “machine learning” connect—without getting too technical too fast. Data science isn’t just about crunching numbers, pulling data from a database, or running fancy algorithms. It’s about asking the right questions, understanding the process from start to finish, and knowing what’s possible (and what’s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security—because working with data means thinking about people, too. Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today’s most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts— just as AI and data become increasingly central to everyday life. What You Will Learn Grasp foundational statistics and how it matters in data analysis and data science Understand the data science project life cycle and how to manage a data science project Examine the ethics of working with data and its use in data analysis and data science Understand the foundations of data security and privacy Collect, store, prepare, visualize, and present data Identify the many types of machine learning and know how to gauge performance Prepare for and find a career in data science Who This Book is for A wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field—helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.
Data Abstraction And Structures Using C
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Author : Mark R. Headington
language : en
Publisher: Jones & Bartlett Learning
Release Date : 1994
Data Abstraction And Structures Using C written by Mark R. Headington and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
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Author :
language : en
Publisher: John Wiley & Sons
Release Date :
written by and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.