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| cal poly data science minor: Statistical Software Engineering National Research Council, Division on Engineering and Physical Sciences, Commission on Physical Sciences, Mathematics, and Applications, Panel on Statistical Methods in Software Engineering, 1996-03-15 This book identifies challenges and opportunities in the development and implementation of software that contain significant statistical content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and attract new researchers from statistics and the mathematical sciences to attack relevant and pressing problems in the software engineering setting. It describes the big picture, as this approach provides the context in which statistical methods must be developed. The book's survey nature is directed at the mathematical sciences audience, but software engineers should also find the statistical emphasis refreshing and stimulating. It is hoped that the book will have the effect of seeding the field of statistical software engineering by its indication of opportunities where statistical thinking can help to increase understanding, productivity, and quality of software and software production. |
| cal poly data science minor: Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou, 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning. |
| cal poly data science minor: How to Live Safely in a Science Fictional Universe (Enhanced Edition) Charles Yu, 2010-09-07 This enhanced eBook includes video, audio, photographic, and linked content, as well as a bonus short story. Hear TAMMY talk. Learn the origins of Minor Universe 31. See the TM-31. Take a trip in it. Photos and illustrations appear as hyperlinked endnotes. Video and audio are embedded directly in text. *Video and audio may not play on all readers. Check your user manual for details. National Book Foundation 5 Under 35 Award winner Charles Yu delivers his debut novel, a razor-sharp, ridiculously funny, and utterly touching story of a son searching for his father . . . through quantum space–time. Minor Universe 31 is a vast story-space on the outskirts of fiction, where paradox fluctuates like the stock market, lonely sexbots beckon failed protagonists, and time travel is serious business. Every day, people get into time machines and try to do the one thing they should never do: change the past. That’s where Charles Yu, time travel technician—part counselor, part gadget repair man—steps in. He helps save people from themselves. Literally. When he’s not taking client calls or consoling his boss, Phil, who could really use an upgrade, Yu visits his mother (stuck in a one-hour cycle of time, she makes dinner over and over and over) and searches for his father, who invented time travel and then vanished. Accompanied by TAMMY, an operating system with low self-esteem, and Ed, a nonexistent but ontologically valid dog, Yu sets out, and back, and beyond, in order to find the one day where he and his father can meet in memory. He learns that the key may be found in a book he got from his future self. It’s called How to Live Safely in a Science Fictional Universe, and he’s the author. And somewhere inside it is the information that could help him—in fact it may even save his life. Wildly new and adventurous, Yu’s debut is certain to send shock waves of wonder through literary space–time. |
| cal poly data science minor: Dialogues on Ethical Vegetarianism Michael Huemer, 2019-03-27 After lives filled with deep suffering, 74 billion animals are slaughtered worldwide every year on factory farms. Is it wrong to buy the products of this industry? In this book, two college students – a meat-eater and an ethical vegetarian – discuss this question in a series of dialogues conducted over four days. The issues they cover include: how intelligence affects the badness of pain, whether consumers are responsible for the practices of an industry, how individual choices affect an industry, whether farm animals are better off living on factory farms than not existing at all, whether meat-eating is natural, whether morality protects those who cannot understand morality, whether morality protects those who are not members of society, whether humans alone possess souls, whether different creatures have different degrees of consciousness, why extreme animal welfare positions sound crazy, and the role of empathy in moral judgment. The two students go on to discuss the vegan life, why people who accept the arguments in favor of veganism often fail to change their behavior, and how vegans should interact with non-vegans. A foreword, by Peter Singer, introduces and provides context for the dialogues, and a final annotated bibliography offers a list of sources related to the discussion. It offers abstracts of the most important books and articles related to the ethics of vegetarianism and veganism. Key Features: Thoroughly reviews the common arguments on both sides of the debate. Dialogue format provides the most engaging way of introducing the issues. Written in clear, conversational prose for a popular audience. Offers new insights into the psychology of our dietary choices and our responsibility for influencing others. |
| cal poly data science minor: Kennedy and Roosevelt Michael Beschloss, 2016-08-16 The revealing story of Franklin Roosevelt, Joe Kennedy, and a political alliance that changed history, from a New York Times–bestselling author. When Franklin Roosevelt ran for president in 1932, he gained the support of Joseph Kennedy, a little-known businessman with Wall Street connections. Instrumental in Roosevelt’s victory, their partnership began a longstanding alliance between two of America’s most ambitious power brokers. Kennedy worked closely with FDR as the first chairman of the Securities and Exchange Commission, and later as ambassador to Great Britain. But at the outbreak of World War II, sensing a threat to his family and fortune, Kennedy lobbied against American intervention—putting him in direct conflict with Roosevelt’s intentions. Though he retreated from the spotlight to focus on the political careers of his sons, Kennedy’s relationship with Roosevelt would eventually come full circle in 1960, when Franklin Roosevelt Jr. campaigned for John F. Kennedy’s presidential win. With unprecedented access to Kennedy’s private diaries as well as firsthand interviews with Roosevelt’s family and White House aides, New York Times–bestselling author Michael Beschloss—called “the nation’s leading presidential historian” by Newsweek—presents an insightful study in contrasts. Roosevelt, the scion of a political dynasty, had a genius for the machinery of government; Kennedy, who built his own fortune, was a political outsider determined to build a dynasty of his own. From the author of The Conquerors and Presidential Courage, this is a “fascinating account of the complex, ambiguous relationship of two shrewd, ruthless, power-hungry men” (The New York Times Book Review). |
| cal poly data science minor: The R Book Michael J. Crawley, 2007-06-13 The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences. |
| cal poly data science minor: Prison Race Renford Reese, 2006 During the past two decades in the U.S., there has been a move toward incarceration, and one group in particular has been impacted by discriminatory and unjust corrections policies driven by the promises of politicians to get tough on crime. Although this book is more about criminal justice policies than it is about race, it examines these policies in the context of their impact on the African American male population. This book examines prison conditions in the U.S. It also explores, among other issues, the business of prisons, including the positioning of prison guard unions as influential interest groups, the proliferation of prisons, and the role of prison labor in a cycle of capitalistic exploitation. |
| cal poly data science minor: Cleaning Data for Effective Data Science David Mertz, 2021-03-31 Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way. In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with. Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll look at data ingestion of a vast range of tabular, hierarchical, and other data formats, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features. The long-form exercises at the end of each chapter let you get hands-on with the skills you've acquired along the way, also providing a valuable resource for academic courses. What you will learnIngest and work with common data formats like JSON, CSV, SQL and NoSQL databases, PDF, and binary serialized data structuresUnderstand how and why we use tools such as pandas, SciPy, scikit-learn, Tidyverse, and BashApply useful rules and heuristics for assessing data quality and detecting bias, like Benford’s law and the 68-95-99.7 ruleIdentify and handle unreliable data and outliers, examining z-score and other statistical propertiesImpute sensible values into missing data and use sampling to fix imbalancesUse dimensionality reduction, quantization, one-hot encoding, and other feature engineering techniques to draw out patterns in your dataWork carefully with time series data, performing de-trending and interpolationWho this book is for This book is designed to benefit software developers, data scientists, aspiring data scientists, teachers, and students who work with data. If you want to improve your rigor in data hygiene or are looking for a refresher, this book is for you. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful. |
| cal poly data science minor: Causal Inference in Statistics Judea Pearl, Madelyn Glymour, Nicholas P. Jewell, 2016-01-25 CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as Does this treatment harm or help patients? But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data. Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest. This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding. |
| cal poly data science minor: Political Theory Today David Held, 1991 What is the proper subject matter of political theory? What kind of a theory is political theory? Uncertainty about the most appropriate way of answering these questions provides the key rationales for this volume: to provide a comprehensive overview of the central questions and debates in contemporary political thought and to offer guidelines for the reformation of political theory made necessary by the philosophical and substantive problems it faces today. The twelve essays in this book examine some of the classic traditional questions of political theory: the nature of obligation, equality, liberty, the public, the private, democracy, and justice. They also examine questions that relate these notions to a broader framework encompassing the many recent changes in the nation-state, forms of sovereignty, domestic and international law, violence and warfare, and domestic and international political economy. The contributors are leading scholars in political theory from the United States, Europe, and Africa: Samara Amin, Charles Beitz, Antonio Cassese, John Dunn, Jon Elster, David Held, Agnes Heller, Steven Lukes, Iain McLean, Claus Offe, Susan Moller Okin, Onora O'Neill and Ulrich K |
| cal poly data science minor: Introduction to Aircraft Flight Mechanics Thomas R. Yechout, 2003 Based on a 15-year successful approach to teaching aircraft flight mechanics at the US Air Force Academy, this text explains the concepts and derivations of equations for aircraft flight mechanics. It covers aircraft performance, static stability, aircraft dynamics stability and feedback control. |
| cal poly data science minor: Python Data Science Handbook Jake VanderPlas, 2016-11-21 For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms |
| cal poly data science minor: Activity-Based Statistics Richard L. Scheaffer, Jeffrey Witmer, Ann Watkins, Mrudulla Gnanadesikan, 2013-06-29 This book presents a collection of hands-on activities for students taking introductory statistics, and is designed to engage the student as a participant in the learning process. Intended as a lab manual and organized around the major topics covered in most introductory courses, this book contains more activities than can possibly be covered in one course, allowing flexibility for individual course requirements. Packaged in an inexpensive paperback format, the pages are perforated and 3-hole punched for easy removal of individual activities. The 50+ experiments, models, and simulations included in this book are explained succinctly, giving students a clear description of the activities without extra reading. Many activities are compatible with technology. |
| cal poly data science minor: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| cal poly data science minor: College of Engineering (University of Michigan) Publications University of Michigan. College of Engineering, 1925 Also contains brochures, directories, manuals, and programs from various College of Engineering student organizations such as the Society of Women Engineers and Tau Beta Pi. |
| cal poly data science minor: Preventing Bullying Through Science, Policy, and Practice National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Division of Behavioral and Social Sciences and Education, Committee on Law and Justice, Board on Children, Youth, and Families, Committee on the Biological and Psychosocial Effects of Peer Victimization: Lessons for Bullying Prevention, 2016-09-14 Bullying has long been tolerated as a rite of passage among children and adolescents. There is an implication that individuals who are bullied must have asked for this type of treatment, or deserved it. Sometimes, even the child who is bullied begins to internalize this idea. For many years, there has been a general acceptance and collective shrug when it comes to a child or adolescent with greater social capital or power pushing around a child perceived as subordinate. But bullying is not developmentally appropriate; it should not be considered a normal part of the typical social grouping that occurs throughout a child's life. Although bullying behavior endures through generations, the milieu is changing. Historically, bulling has occurred at school, the physical setting in which most of childhood is centered and the primary source for peer group formation. In recent years, however, the physical setting is not the only place bullying is occurring. Technology allows for an entirely new type of digital electronic aggression, cyberbullying, which takes place through chat rooms, instant messaging, social media, and other forms of digital electronic communication. Composition of peer groups, shifting demographics, changing societal norms, and modern technology are contextual factors that must be considered to understand and effectively react to bullying in the United States. Youth are embedded in multiple contexts and each of these contexts interacts with individual characteristics of youth in ways that either exacerbate or attenuate the association between these individual characteristics and bullying perpetration or victimization. Recognizing that bullying behavior is a major public health problem that demands the concerted and coordinated time and attention of parents, educators and school administrators, health care providers, policy makers, families, and others concerned with the care of children, this report evaluates the state of the science on biological and psychosocial consequences of peer victimization and the risk and protective factors that either increase or decrease peer victimization behavior and consequences. |
| cal poly data science minor: National Soils Handbook United States. Soil Conservation Service, 1983 |
| cal poly data science minor: Flight Stability and Automatic Control Robert C. Nelson, 1998 This edition of this this flight stability and controls guide features an unintimidating math level, full coverage of terminology, and expanded discussions of classical to modern control theory and autopilot designs. Extensive examples, problems, and historical notes, make this concise book a vital addition to the engineer's library. |
| cal poly data science minor: Failing Law Schools Brian Z. Tamanaha, 2012-06-18 “An essential title for anyone thinking of law school or concerned with America's dysfunctional legal system.” —Library Journal On the surface, law schools today are thriving. Enrollments are on the rise and law professors are among the highest paid. Yet behind the flourishing facade, law schools are failing abjectly. Recent front-page stories have detailed widespread dubious practices, including false reporting of LSAT and GPA scores, misleading placement reports, and the fundamental failure to prepare graduates to enter the profession. Addressing all these problems and more is renowned legal scholar Brian Z. Tamanaha. Piece by piece, Tamanaha lays out the how and why of the crisis and the likely consequences if the current trend continues. The out-of-pocket cost of obtaining a law degree at many schools now approaches $200,000. The average law school graduate’s debt is around $100,000—the highest it has ever been—while the legal job market is the worst in decades. Growing concern with the crisis in legal education has led to high-profile coverage in the Wall Street Journal and the New York Times, and many observers expect it soon will be the focus of congressional scrutiny. Bringing to the table his years of experience from within the legal academy, Tamanaha provides the perfect resource for assessing what’s wrong with law schools and figuring out how to fix them. “Failing Law Schools presents a comprehensive case for the negative side of the legal education debate and I am sure that many legal academics and every law school dean will be talking about it.” —Stanley Fish, Florida International University College of Law |
| cal poly data science minor: Science Research Writing: For Native And Non-native Speakers Of English (Second Edition) Hilary Glasman-deal, 2020-11-27 This book enables STEMM researchers to write effective papers for publication as well as other research-related texts such as a doctoral thesis, technical report, or conference abstract.Science Research Writing uses a reverse-engineering approach to writing developed from extensive work with STEMM researchers at Imperial College London. This approach unpacks current models of STEMM research writing and helps writers to generate the writing tools needed to operate those models effectively in their own field. The reverse-engineering approach also ensures that writers develop future-proof strategies that will evolve alongside the coming changes in research communication platforms.The Second Edition has been extensively revised and updated to represent current practice and focuses on the writing needs of both early-stage doctoral STEMM researchers and experienced professional researchers at the highest level, whether or not they are native speakers of English. The book retains the practical, user-friendly format of the First Edition, and now contains seven units that deal separately with the components of written STEMM research communication: Introduction, Methods, Results, Discussion, Conclusion, Abstract and Title, as well as extensive FAQ responses and a new Checklist and Tips section. Each unit analyses extracts from recent published STEMM journal papers to enable researchers to discover not only what to write, but, crucially, how to write it.The global nature of science research requires fast, accurate communication of highly complex information that can be understood by all participants. Like the First Edition, the Second Edition is intended as a fast, do-it-yourself guide to make both the process and the product of STEMM research writing more effective.Related Link(s) |
| cal poly data science minor: Collaborations in Architecture and Engineering Clare Olsen, Sinead Mac Namara, 2021-12-30 This new edition of Collaborations in Architecture and Engineering explores how to effectively develop creative collaborations among architects and engineers. The authors, an architect and an engineer, share insights gained from their experiences and research on fostering productive communication, engaging in interdisciplinary discussions, and establishing common design goals. Together, they share the tools, methods, and best practices deployed by prominent innovative architects and engineers to provide readers with the key elements for success in interdisciplinary design collaborations. The book offers engaging stories about prominent architect and engineer collaborations––such as those between SANAA and Sasaki and Partners, Adjaye Associates and Silman, Grafton Architects and AKT II, Studio Gang and Arup, Foster + Partners and Buro Happold, Steven Holl Architects and Guy Nordenson and Associates, and among the engineers and architects at SOM. In the second edition, the newly added case studies showcase extraordinary buildings across the globe at a range of scales and typologies, tracing the facets of high-quality collaborations. Through the examples of these remarkable synergies, readers gain insights into innovative design processes that address complex challenges in the built environment. The second edition of Collaborations in Architecture and Engineering is a terrific sourcebook for students, educators, and professionals interested in integrative design practice among the disciplines. |
| cal poly data science minor: After Globalization Robert K. Schaeffer, 2021-09-20 In the 1980s, U.S. officials adopted tax and monetary policies that channeled huge new resources into Wall Street, which fueled a stock market boom. To increase profits and payouts to investors as stock prices soared, corporate managers consolidated businesses, outsourced manufacturing to low-wage countries, and adopted new technologies to increase productivity. Government officials then facilitated mergers and negotiated free trade agreements to speed the process of globalization. Wall Street became an engine of capital accumulation and a force for global change. These developments resulted in massive job losses and stagnant wages for most Americans. Meanwhile, tax cuts and the stock market boom created vast new wealth for the rich, and the top 10 percent seized 50 percent of all income in the United States. The result was growing economic inequality. During the decades that followed, globalization triggered regional economic crises, toppled governments, transformed societies, galvanized economic development in China, and created new forms of wealth and inequality around the world. Then in 2008, a financial crisis rooted in Wall Street triggered the Great Recession, wrecked the legitimacy of globalization as a development strategy, and unleashed populist or restrictionist social movements and political parties that challenged globalization and attacked its economic and political foundations. This book examines the origins of globalization in the 1980s, the developments that triggered the Great Recession, and the political and economic forces that contributed to the disintegration of globalization as a force for change in the modern world. After Globalization explains what happened—and what comes next. |
| cal poly data science minor: The San Luis Obispo Farmers' Market Cookbook Kendra Aronson, 2015-12-01 The San Luis Obispo Farmers' Market Cookbook: Simple Seasonal Recipes & Short Stories from the Central Coast of California features 196 pages of 60 seasonal recipes and 40 short stories. The recipes are organized by seasons (15 recipes per season) and are sub-divided into five categories: breakfast, light bites, lunch, dinner, and dessert (3 recipes per category). The latter part of the cookbook features short stories, interviews, and profiles of farmers, food artisans, and farm-to-table chefs. In the spirit of a creating a collaborative community-driven cookbook, the majority of the recipes are provided by the food growers and chefs themselves to showcase the true taste of the Central Coast of California. Learn more at slofarmersmarketcookbook.com and share your experience with the hashtag #slofarmersmarketcookbook! |
| cal poly data science minor: Molecular Biology of the Cell , 2002 |
| cal poly data science minor: Statistical and Econometric Methods for Transportation Data Analysis, Second Edition Simon P. Washington, Matthew G. Karlaftis, Fred L. Mannering, 2010-12-02 The complexity, diversity, and random nature of transportation problems necessitates a broad analytical toolbox. Describing tools commonly used in the field, Statistical and Econometric Methods for Transportation Data Analysis, Second Edition provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies covering applications in various aspects of transportation planning, engineering, safety, and economics. After a solid refresher on statistical fundamentals, the book focuses on continuous dependent variable models and count and discrete dependent variable models. Along with an entirely new section on other statistical methods, this edition offers a wealth of new material. New to the Second Edition A subsection on Tobit and censored regressions An explicit treatment of frequency domain time series analysis, including Fourier and wavelets analysis methods New chapter that presents logistic regression commonly used to model binary outcomes New chapter on ordered probability models New chapters on random-parameter models and Bayesian statistical modeling New examples and data sets Each chapter clearly presents fundamental concepts and principles and includes numerous references for those seeking additional technical details and applications. To reinforce a practical understanding of the modeling techniques, the data sets used in the text are offered on the book’s CRC Press web page. PowerPoint and Word presentations for each chapter are also available for download. |
| cal poly data science minor: Black Appetite. White Food. Jamila Lyiscott, 2019-05-03 Black Appetite. White Food. invites educators to explore the nuanced manifestations of white privilege as it exists within and beyond the classroom. Renowned speaker and author Jamila Lyiscott provides ideas and tools that teachers, school leaders, and professors can use for awareness, inspiration, and action around racial injustice and inequity. Part I of the book helps you ask the hard questions, such as whether your pedagogy is more aligned with colonialism than you realize and whether you are really giving students of color a voice. Part II offers a variety of helpful strategies for analysis and reflection. Each chapter includes personal stories, frank discussions of the barriers you may face, and practical ideas that will guide you as you work to confront privilege in your classroom, campus, and beyond. |
| cal poly data science minor: Dreaming Your World Into Being Jon Rasmussen, 2008-06 Have you tried praying, meditating, affirmations, the Secret, the Law of Attraction, and other forms of psychological, mystical, and spiritual intervention, and yet nothing seems to change or change quickly enough? If so, there is a reason. The Shamans know the reason and how to overcome it simply and elegantly. The obstacles lay hidden in the depths of your soul and subconscious, and this is where the Shaman's secrets do their work. In clear, simple language, Jon Rasmussen unveils the timeless knowledge, techniques, processes, and worldview that will allow you to dream your ideal experiences into being. With a gentle audacity, he fully informs, inspires, and challenges you to try a radically different approach to making the desired changes in your life and in the world. He then offers his own vision in order to inspire your dreaming and participation in the collective process of creating a better world now and for generations to come. |
| cal poly data science minor: A First Course in Bayesian Statistical Methods Peter D. Hoff, 2009-06-02 A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. |
| cal poly data science minor: Start Small, Stay Small Rob Walling, 2010 Start Small, Stay Small is a step-by-step guide to launching a self-funded startup. If you're a desktop, mobile or web developer, this book is your blueprint to getting your startup off the ground with no outside investment.This book intentionally avoids topics restricted to venture-backed startups such as: honing your investment pitch, securing funding, and figuring out how to use the piles of cash investors keep placing in your lap.This book assumes: You don't have $6M of investor funds sitting in your bank account You're not going to relocate to the handful of startup hubs in the world You're not going to work 70 hour weeks for low pay with the hope of someday making millions from stock options There's nothing wrong with pursuing venture funding and attempting to grow fast like Amazon, Google, Twitter, and Facebook. It just so happened that most people are not in a place to do this.Start Small, Stay Small also focuses on the single most important element of a startup that most developers avoid: marketing. There are many great resources for learning how to write code, organize source control, or connect to a database. This book does not cover the technical aspects developers already know or can learn elsewhere. It focuses on finding your idea, testing it before you build, and getting it into the hands of your customers. |
| cal poly data science minor: Cultural Economics Ruth Towse, Abdul Khakee, 2012-12-06 Cultural economics as a field of research involves two areas, culture and economy. These two areas have been traditionally regarded as each other's antithesis. However, the economic aspects of culture have increasingly become a matter of everyday reality for persons working in the cultural field. The economy of culture has always been in the focus of political interest. Political decisions concerning such priority areas as the development of regional institutions, support to the artists and cultural programmes for children and youth have important economic implications. This book deals with a range of topics in cultural economics. It contains original papers by economists workingin the field from 15 different countries and covers a host of both theoretical and practical issues, covering the performing arts, arts marketsand museums. It represents an up-to-date statement of the application of economic ideas to cultural questions. |
| cal poly data science minor: The Happy Lawyer Nancy Levit, Douglas O. Linder, 2010-07-30 You get good grades in college, pay a small fortune to put yourself through law school, study hard to pass the bar exam, and finally land a high-paying job in a prestigious firm. You're happy, right? Not really. Oh, it beats laying asphalt, but after all your hard work, you expected more from your job. What gives? The Happy Lawyer examines the causes of dissatisfaction among lawyers, and then charts possible paths to happier and more fulfilling careers in law. Eschewing a one-size-fits-all approach, it shows how maximizing our chances for achieving happiness depends on understanding our own personality types, values, strengths, and interests. Covering everything from brain chemistry and the science of happiness to the workings of the modern law firm, Nancy Levit and Doug Linder provide invaluable insights for both aspiring and working lawyers. For law students, they offer surprising suggestions for selecting a law school that maximizes your long-term happiness prospects. For those about to embark on a legal career, they tell you what happiness research says about which potential jobs hold the most promise. For working lawyers, they offer a handy toolbox--a set of easily understandable steps--that can boost career happiness. Finally, for firm managers, they offer a range of approaches for remaking a firm into a more satisfying workplace. Read this book and you will know whether you are more likely to be a happy lawyer at age 30 or age 60, why you can tell a lot about a firm from looking at its walls and windows, whether a 10 percent raise or a new office with a view does more for your happiness, and whether the happiness prospects are better in large or small firms. No book can guarantee a happier career, but for lawyers of all ages and stripes, The Happy Lawyer may give you your best shot. |
| cal poly data science minor: The Diligent Robert Harms, 2008-08-05 The groundbreaking history of the Atlantic slave trade, winner of the Mark Lynton History Prize, the Frederick Douglass Book Prize, and the J. Russell Major Prize. In The Diligent, acclaimed historian Robert Harms reveals the complex workings of the slave trade by drawing on the private journal of First Lieutenant Robert Durand to recreate the macabre journey of a French slave ship. The Diligent began her journey in Brittany in 1731, and Harms follows her along the African coast where her goods were traded for slaves, then to Martinique where her captives were sold to work on sugar plantations. He brings to life a world in which slavery was carried out without qualms: the gruesome details of daily life aboard a slave ship, French merchants wrangling for the right to traffic in slaves, African kings waging epic wars for control of slave trading posts, and representatives of European governments negotiating the complicated politics of the Guinea coast to ensure a steady supply of labor for their countries' colonies. By combining the detailed story of an expedition with an exploration of the significant personalities and events that were shaping Europe, West Africa, and the Caribbean in the early eighteenth century, The Diligent provides an intimate understanding of a horrifying world. |
| cal poly data science minor: Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) Anna Bargagliotti, Christine Franklin, Pip Arnold, Rob Gould, 2020 This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education-- |
| cal poly data science minor: Business and the Schools Committee for Economic Development, 1984 |
| cal poly data science minor: Biological Science Scott Freeman, 2014 ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code. Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase. -- Supports and motivates you as you learn to think scientifically and use the skills of a biologist. Scott Freeman's Biological Science is beloved for its Socratic narrative style, its emphasis on experimental evidence, and its dedication to active learning. In the Fifth Edition, the author team has expanded to include new members-bringing a fresh focus on accuracy and currency, and multiplying the dedication to active learning by six. Research indicates that true mastery of content requires a move away from memorization towards active engagement with the material in a focused, personal way. Biological Science is the first introductory biology text designed to equip you with a strategy to accurately assess your level of understanding, predict your performance, and identify the types of cognitive skills that need improvement. 032174361X / 9780321743619 Biological Science Plus MasteringBiology with eText -- Access Card Package Package consists of: 0321743679 / 9780321743671 Biological Science 0321842170 / 9780321842176 MasteringBiology with Pearson eText -- ValuePack Access Card -- for Biological Science |
| cal poly data science minor: Academic Profiling Gilda L. Ochoa, 2013 In Academic Profiling, Gilda L. Ochoa addresses today's so-called achievement gap by going directly to the source. At one California public high school where the controversy is lived every day, Ochoa turns to the students, teachers, and parents to learn about the very real disparities--in opportunity, status, treatment, and assumptions--that lead to more than just gaps in achievement. |
| cal poly data science minor: Biomedical Engineering Technologies Miguel R. Ossandon, Houston Baker, Avraham Rasooly, 2021-11-27 This volume provides detailed technical protocols on current biosensors and imaging technologies and Chapters focus on optical, electrochemical, Quartz crystal microbalance (QCM) biosensors and on medical imaging technologies such as tomography, MRI, and NMR. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and practical, Biomedical Engineering Technologies, Volume 1 provides technical details in descriptions of major technologies by experts in the field. |
| cal poly data science minor: Third International Symposium on Space Mission Operations and Ground Data Systems, Part 1 , 1994 |
| cal poly data science minor: Fundamentals of Corporate Finance Larry Gorman, 2016-09-23 |
| cal poly data science minor: Principles of Environmental Engineering Yan LIU, Liang LI, 2022-05-22 This textbook contains the contents coming from hydraulics, hydrodynamics, chemical principles, chemical reaction engineering and bioengineering, which relates closely with fundamental principles in environmental engineering. It mainly covers principles including basic concepts, theories, methods and related equipment in fluid flow and transportation, heat transfer, absorption, chemical and biological reaction kinetics and reactors, as well as their applications in environmental engineering. At same time, the readers learns the basic viewpoints and methods commonly used in engineering technology, such as balance method, reasonable simplification, dimensional analysis method, boundary layer theory, optimization and mathematical model method. It broadens the student’s understanding in solving those problems in environmental engineering, and enhances their awareness of industrialization. This book is the specialized foundation and principles for learning the professional courses of environmental engineering, such as water pollution control, air pollution control, solid waste treatment and disposal and ecological restoration engineering, while avoiding the repetition of the contents of those professional books. |
Scientific Calculator - Desmos
A beautiful, free online scientific calculator with advanced features for evaluating percentages, fractions, exponential functions, logarithms, trigonometry, statistics, and more.
Web 2.0 scientific calculator
Free Online Scientific Notation Calculator. Solve advanced problems in Physics, Mathematics and Engineering. Math Expression Renderer, Plots, Unit Converter, Equation Solver, Complex …
Percentage Calculator
Please provide any two values below and click the "Calculate" button to get the third value. What is a percentage? In mathematics, a percentage is a number or ratio that represents a fraction …
Google Calendar - Easier Time Management, Appointments
Learn how Google Calendar helps you stay on top of your plans - at home, at work and everywhere in between.
1 calorie vs 1 kcal. What's the difference? - Calories-Info.Com
The big calorie (1 Cal) indicates the amount of energy needed to raise the temperature of 1 kg of water by 1 celcius degree (1°C). The small calorie (1 cal) - shows the same amount for one 1 …
Reviewing and Assessing Cal Football Transfers In and Out
1 day ago · On3 ranks Cal’s class 60th in the nation, giving its incoming transfer players an average rating of 66.18 and assigning its departing transfers a slightly higher average rating of …
CAL definition and meaning | Collins English Dictionary
6 meanings: computer-aided (or -assisted) learning 1. calendar 2. calibre 3. calorie (small) 1. Calorie (large) 2. California.... Click for more definitions.
CAL - Definition by AcronymFinder
What does CAL stand for? CAL abbreviation. Define CAL at AcronymFinder.com.
CAL - What does CAL stand for? The Free Dictionary
Looking for online definition of CAL or what CAL stands for? CAL is listed in the World's most authoritative dictionary of abbreviations and acronyms.
Mariners' Cal Raleigh making history. His biggest fan? Johnny Bench
18 hours ago · “For Cal, it comes from in here with him," Wilson says, tapping his chest. “He’s got a lot of heart, a lot of desire, and a lot of determination. He wants to win in the worst way.
Scientific Calculator - Desmos
A beautiful, free online scientific calculator with advanced features for evaluating percentages, fractions, exponential functions, logarithms, trigonometry, statistics, and more.
Web 2.0 scientific calculator
Free Online Scientific Notation Calculator. Solve advanced problems in Physics, Mathematics and Engineering. Math Expression Renderer, Plots, Unit Converter, Equation Solver, Complex …
Percentage Calculator
Please provide any two values below and click the "Calculate" button to get the third value. What is a percentage? In mathematics, a percentage is a number or ratio that represents a fraction …
Google Calendar - Easier Time Management, Appointments
Learn how Google Calendar helps you stay on top of your plans - at home, at work and everywhere in between.
1 calorie vs 1 kcal. What's the difference? - Calories-Info.Com
The big calorie (1 Cal) indicates the amount of energy needed to raise the temperature of 1 kg of water by 1 celcius degree (1°C). The small calorie (1 cal) - shows the same amount for one 1 …
Reviewing and Assessing Cal Football Transfers In and Out
1 day ago · On3 ranks Cal’s class 60th in the nation, giving its incoming transfer players an average rating of 66.18 and assigning its departing transfers a slightly higher average rating of …
CAL definition and meaning | Collins English Dictionary
6 meanings: computer-aided (or -assisted) learning 1. calendar 2. calibre 3. calorie (small) 1. Calorie (large) 2. California.... Click for more definitions.
CAL - Definition by AcronymFinder
What does CAL stand for? CAL abbreviation. Define CAL at AcronymFinder.com.
CAL - What does CAL stand for? The Free Dictionary
Looking for online definition of CAL or what CAL stands for? CAL is listed in the World's most authoritative dictionary of abbreviations and acronyms.
Mariners' Cal Raleigh making history. His biggest fan? Johnny Bench
18 hours ago · “For Cal, it comes from in here with him," Wilson says, tapping his chest. “He’s got a lot of heart, a lot of desire, and a lot of determination. He wants to win in the worst way.
