| cu boulder online master's data science: Biology Everywhere Melanie Peffer, 2020-02-28 Biology as explained through the lens of how we experience it as part of our daily lives. Written for a trade audience. |
| cu boulder online master's data science: Statistical Rethinking Richard McElreath, 2018-01-03 Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas. |
| cu boulder online master's data science: Fundamentals of Data Visualization Claus O. Wilke, 2019-03-18 Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story |
| cu boulder online master's data science: Critical Sports Studies Nicholas Villanueva, Jr., 2019-12-05 Critical Sports Studies: A Document Reader provides students with a selection of essays that examine social problems in sport. Readers are challenged to critically consider various topics to better understand how the global phenomenon of sport can lead to challenges both on and off the field. The opening chapter introduces the study of sport in society as an academic discipline. Later chapters cover amateurism in sport, sports and politics, and the role of media in |
| cu boulder online master's data science: Talking about Leaving Revisited Elaine Seymour, Anne-Barrie Hunter, 2019-12-10 Talking about Leaving Revisited discusses findings from a five-year study that explores the extent, nature, and contributory causes of field-switching both from and among “STEM” majors, and what enables persistence to graduation. The book reflects on what has and has not changed since publication of Talking about Leaving: Why Undergraduates Leave the Sciences (Elaine Seymour & Nancy M. Hewitt, Westview Press, 1997). With the editors’ guidance, the authors of each chapter collaborate to address key questions, drawing on findings from each related study source: national and institutional data, interviews with faculty and students, structured observations and student assessments of teaching methods in STEM gateway courses. Pitched to a wide audience, engaging in style, and richly illustrated in the interviewees’ own words, this book affords the most comprehensive explanatory account to date of persistence, relocation and loss in undergraduate sciences. Comprehensively addresses the causes of loss from undergraduate STEM majors—an issue of ongoing national concern. Presents critical research relevant for nationwide STEM education reform efforts. Explores the reasons why talented undergraduates abandon STEM majors. Dispels popular causal myths about why students choose to leave STEM majors. This volume is based upon work supported by the Alfred P. Sloan Foundation Award No. 2012-6-05 and the National Science Foundation Award No. DUE 1224637. |
| cu boulder online master's data science: Dialogue Across Difference Patricia Gurin, Biren (Ratnesh) A. Nagda, Ximena Zuniga, 2013-03-15 Due to continuing immigration and increasing racial and ethnic inclusiveness, higher education institutions in the United States are likely to grow ever more diverse in the 21st century. This shift holds both promise and peril: Increased inter-ethnic contact could lead to a more fruitful learning environment that encourages collaboration. On the other hand, social identity and on-campus diversity remain hotly contested issues that often raise intergroup tensions and inhibit discussion. How can we help diverse students learn from each other and gain the competencies they will need in an increasingly multicultural America? Dialogue Across Difference synthesizes three years’ worth of research from an innovative field experiment focused on improving intergroup understanding, relationships and collaboration. The result is a fascinating study of the potential of intergroup dialogue to improve relations across race and gender. First developed in the late 1980s, intergroup dialogues bring together an equal number of students from two different groups – such as people of color and white people, or women and men – to share their perspectives and learn from each other. To test the possible impact of such courses and to develop a standard of best practice, the authors of Dialogue Across Difference incorporated various theories of social psychology, higher education, communication studies and social work to design and implement a uniform curriculum in nine universities across the country. Unlike most studies on intergroup dialogue, this project employed random assignment to enroll more than 1,450 students in experimental and control groups, including in 26 dialogue courses and control groups on race and gender each. Students admitted to the dialogue courses learned about racial and gender inequalities through readings, role-play activities and personal reflections. The authors tracked students’ progress using a mixed-method approach, including longitudinal surveys, content analyses of student papers, interviews of students, and videotapes of sessions. The results are heartening: Over the course of a term, students who participated in intergroup dialogues developed more insight into how members of other groups perceive the world. They also became more thoughtful about the structural underpinnings of inequality, increased their motivation to bridge differences and intergroup empathy, and placed a greater value on diversity and collaborative action. The authors also note that the effects of such courses were evident on nearly all measures. While students did report an initial increase in negative emotions – a possible indication of the difficulty of openly addressing race and gender – that effect was no longer present a year after the course. Overall, the results are remarkably consistent and point to an optimistic conclusion: intergroup dialogue is more than mere talk. It fosters productive communication about and across differences in the service of greater collaboration for equity and justice. Ambitious and timely, Dialogue Across Difference presents a persuasive practical, theoretical and empirical account of the benefits of intergroup dialogue. The data and research presented in this volume offer a useful model for improving relations among different groups not just in the college setting but in the United States as well. |
| cu boulder online master's data science: Hear My Voice/Escucha mi voz , 2021-04-13 The moving stories of children in migration—in their own words. In Spanish and in English, a devastating first-person account of children’s experiences in detention at the southern U.S. border.... A powerful, critical document only made more heartbreaking in picture-book form. —Kirkus Reviews starred review Every day, children in migration are detained at the US-Mexico border. They are scared, alone, and their lives are in limbo. Hear My Voice/Escucha mi voz shares the stories of 61 these children, from Honduras, Guatemala, El Salvador, Ecuador, and Mexico, ranging in age from five to seventeen—in their own words from actual sworn testimonies. Befitting the spirit of the project, the book is in English on one side; then flip it over, and there's a complete Spanish version. Illustrated by 17 Latinx artists, including Caldecott Medalist and multiple Pura Belpré Illustrator Award-winning Yuyi Morales and Pura Belpré Illustrator Award-winning Raὺl the Third. Includes information, questions, and action points. Buying this book benefits Project Amplify, an organization that supports children in migration. |
| cu boulder online master's data science: Set Theory and Logic Robert R. Stoll, 2012-05-23 Explores sets and relations, the natural number sequence and its generalization, extension of natural numbers to real numbers, logic, informal axiomatic mathematics, Boolean algebras, informal axiomatic set theory, several algebraic theories, and 1st-order theories. |
| cu boulder online master's data science: Media and Religion Stewart M. Hoover, Nabil Echchaibi, 2021-07-05 The series Religion and Society (RS) contributes to the exploration of religions as social systems- both in Western and non-Western societies; in particular, it examines religions in their differentiation from, and intersection with, other cultural systems, such as art, economy, law and politics. Due attention is given to paradigmatic case or comparative studies that exhibit a clear theoretical orientation with the empirical and historical data of religion and such aspects of religion as ritual, the religious imagination, constructions of tradition, iconography, or media. In addition, the formation of religious communities, their construction of identity, and their relation to society and the wider public are key issues of this series. |
| cu boulder online master's data science: Automated Machine Learning for Business Kai R. Larsen, Daniel S. Becker, 2021 This book teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the industry-leading AutoML tool, DataRobot, and provides several data sets designed to build deep hands-on knowledge of machinelearning. |
| cu boulder online master's data science: Astronomy Jeffrey O. Bennett, Megan Donahue, Nicholas Schneider, Mark Voit, 2008-06-25 |
| cu boulder online master's data science: Culturally Sustaining Pedagogies Django Paris, H. Samy Alim, 2017 Culturally Sustaining Pedagogies raises fundamental questions about the purpose of schooling in changing societies. Bringing together an intergenerational group of prominent educators and researchers, this volume engages and extends the concept of culturally sustaining pedagogy (CSP)—teaching that perpetuates and fosters linguistic, literate, and cultural pluralism as part of schooling for positive social transformation. The authors propose that schooling should be a site for sustaining the cultural practices of communities of color, rather than eradicating them. Chapters present theoretically grounded examples of how educators and scholars can support Black, Indigenous, Latinx, Asian/Pacific Islander, South African, and immigrant students as part of a collective movement towards educational justice in a changing world. Book Features: A definitive resource on culturally sustaining pedagogies, including what they look like in the classroom and how they differ from deficit-model approaches.Examples of teaching that sustain the languages, literacies, and cultural practices of students and communities of color.Contributions from the founders of such lasting educational frameworks as culturally relevant pedagogy, funds of knowledge, cultural modeling, and third space. Contributors: H. Samy Alim, Mary Bucholtz, Dolores Inés Casillas, Michael Domínguez, Nelson Flores, Norma Gonzalez, Kris D. Gutiérrez, Adam Haupt, Amanda Holmes, Jason G. Irizarry, Patrick Johnson, Valerie Kinloch, Gloria Ladson-Billings, Carol D. Lee, Stacey J. Lee, Tiffany S. Lee, Jin Sook Lee, Teresa L. McCarty, Django Paris, Courtney Peña, Jonathan Rosa, Timothy J. San Pedro, Daniel Walsh, Casey Wong “All teachers committed to justice and equity in our schools and society will cherish this book.” —Sonia Nieto, professor emerita, University of Massachusetts, Amherst “This book is for educators who are unafraid of using education to make a difference in the lives of the most vulnerable.” —Pedro Noguera, University of California, Los Angeles “This book calls for deep, effective practices and understanding that centers on our youths’ assets.” —Prudence L. Carter, dean, Graduate School of Education, UC Berkeley |
| cu boulder online master's data science: Early Modern Visual Culture Peter Erickson, Clark Hulse, 2000-09-12 An interdisciplinary group of scholars applies the reinterpretive concept of visual culture to the English Renaissance. Bringing attention to the visual issues that have appeared persistently, though often marginally, in the newer criticisms of the last decade, the authors write in a diversity of voices on a range of subjects. Common among them, however, is a concern with the visual technologies that underlie the representation of the body, of race, of nation, and of empire. Several essays focus on the construction and representation of the human body—including an examination of anatomy as procedure and visual concept, and a look at early cartographic practice to reveal the correspondences between maps and the female body. In one essay, early Tudor portraits are studied to develop theoretical analogies and historical links between verbal and visual portrayal. In another, connections in Tudor-Stuart drama are drawn between the female body and the textiles made by women. A second group of essays considers issues of colonization, empire, and race. They approach a variety of visual materials, including sixteenth-century representations of the New World that helped formulate a consciousness of subjugation; the Drake Jewel and the myth of the Black Emperor as indices of Elizabethan colonial ideology; and depictions of the Queen of Sheba among other black women present in early modern painting. One chapter considers the politics of collecting. The aesthetic and imperial agendas of a Van Dyck portrait are uncovered in another essay, while elsewhere, that same portrait is linked to issues of whiteness and blackness as they are concentrated within the ceremonies and trappings of the Order of the Garter. All of the essays in Early Modern Visual Culture explore the social context in which paintings, statues, textiles, maps, and other artifacts are produced and consumed. They also explore how those artifacts—and the acts of creating, collecting, and admiring them—are themselves mechanisms for fashioning the body and identity, situating the self within a social order, defining the otherness of race, ethnicity, and gender, and establishing relationships of power over others based on exploration, surveillance, and insight. |
| cu boulder online master's data science: The Knowledge Illusion Steven Sloman, Philip Fernbach, 2017-03-14 “The Knowledge Illusion is filled with insights on how we should deal with our individual ignorance and collective wisdom.” —Steven Pinker We all think we know more than we actually do. Humans have built hugely complex societies and technologies, but most of us don’t even know how a pen or a toilet works. How have we achieved so much despite understanding so little? Cognitive scientists Steven Sloman and Philip Fernbach argue that we survive and thrive despite our mental shortcomings because we live in a rich community of knowledge. The key to our intelligence lies in the people and things around us. We’re constantly drawing on information and expertise stored outside our heads: in our bodies, our environment, our possessions, and the community with which we interact—and usually we don’t even realize we’re doing it. The human mind is both brilliant and pathetic. We have mastered fire, created democratic institutions, stood on the moon, and sequenced our genome. And yet each of us is error prone, sometimes irrational, and often ignorant. The fundamentally communal nature of intelligence and knowledge explains why we often assume we know more than we really do, why political opinions and false beliefs are so hard to change, and why individual-oriented approaches to education and management frequently fail. But our collaborative minds also enable us to do amazing things. The Knowledge Illusion contends that true genius can be found in the ways we create intelligence using the community around us. |
| cu boulder online master's data science: Modeling Techniques in Predictive Analytics Thomas W. Miller, 2015 Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you're new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you're already a modeler, programmer, or manager, it will teach you crucial skills you don't yet have. This guide illuminates the discipline through realistic vignettes and intuitive data visualizations-not complex math. Thomas W. Miller, leader of Northwestern University's pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today's key applications for predictive analytics, delivering skills and knowledge to put models to work-and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. |
| cu boulder online master's data science: Mindset Mathematics Jo Boaler, Jen Munson, Cathy Williams, 2017-08-28 Engage students in mathematics using growth mindset techniques The most challenging parts of teaching mathematics are engaging students and helping them understand the connections between mathematics concepts. In this volume, you'll find a collection of low floor, high ceiling tasks that will help you do just that, by looking at the big ideas at the first-grade level through visualization, play, and investigation. During their work with tens of thousands of teachers, authors Jo Boaler, Jen Munson, and Cathy Williams heard the same message—that they want to incorporate more brain science into their math instruction, but they need guidance in the techniques that work best to get across the concepts they needed to teach. So the authors designed Mindset Mathematics around the principle of active student engagement, with tasks that reflect the latest brain science on learning. Open, creative, and visual math tasks have been shown to improve student test scores, and more importantly change their relationship with mathematics and start believing in their own potential. The tasks in Mindset Mathematics reflect the lessons from brain science that: There is no such thing as a math person - anyone can learn mathematics to high levels. Mistakes, struggle and challenge are the most important times for brain growth. Speed is unimportant in mathematics. Mathematics is a visual and beautiful subject, and our brains want to think visually about mathematics. With engaging questions, open-ended tasks, and four-color visuals that will help kids get excited about mathematics, Mindset Mathematics is organized around nine big ideas which emphasize the connections within the Common Core State Standards (CCSS) and can be used with any current curriculum. |
| cu boulder online master's data science: Doing Data Science Cathy O'Neil, Rachel Schutt, 2013-10-09 Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course. |
| cu boulder online master's data science: Progress in Statistics J. Gani, 1975-02-01 |
| cu boulder online master's data science: Biostatistical Methods Stephen W. Looney, 2010-11-10 Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size. |
| cu boulder online master's data science: Physical Science and Everyday Thinking Fred M. Goldberg, Steve Robinson, Valerie Otero, 2007 |
| cu boulder online master's data science: An R Companion to Political Analysis Philip H. Pollock III, Barry C. Edwards, 2017-04-12 Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. Students will love this book, as will their teachers. – Courtney Brown, Emory University |
| cu boulder online master's data science: Clickers in the Classroom Douglas Duncan, 2005 Clickers (Classroom Response Systems) have become one of the most widely adopted new classroom teaching technologies. This book provides information on how to successfully teach using clicker technology, looking at: the benefits of using clickers; the clicker experience at other schools; research on clicker usage; and more. |
| cu boulder online master's data science: Physical Oceanography and Climate Kris Karnauskas, 2020-04-02 An engaging and accessible textbook focusing on climate dynamics from the perspective of the ocean, specifically interactions between the atmosphere and ocean. It describes the fundamental physics and dynamics governing the behaviour of the ocean, and provides numerous end-of-chapter questions and access to online data sets. |
| cu boulder online master's data science: Red Pedagogy Sandy Grande, 2015-09-28 This ground-breaking text explores the intersection between dominant modes of critical educational theory and the socio-political landscape of American Indian education. Grande asserts that, with few exceptions, the matters of Indigenous people and Indian education have been either largely ignored or indiscriminately absorbed within critical theories of education. Furthermore, American Indian scholars and educators have largely resisted engagement with critical educational theory, tending to concentrate instead on the production of historical monographs, ethnographic studies, tribally-centered curricula, and site-based research. Such a focus stems from the fact that most American Indian scholars feel compelled to address the socio-economic urgencies of their own communities, against which engagement in abstract theory appears to be a luxury of the academic elite. While the author acknowledges the dire need for practical-community based research, she maintains that the global encroachment on Indigenous lands, resources, cultures and communities points to the equally urgent need to develop transcendent theories of decolonization and to build broad-based coalitions. |
| cu boulder online master's data science: Perspectives on Mathematics Dennis Almeida, 1995 |
| cu boulder online master's data science: Data Literacy in the Real World Kristin Fontichiaro, Amy Lennex, Jo Angela Oehrli, Tyler Hoff, Kelly Hovinga, 2017 Knowing how to recognize the role data plays in our lives is critical to navigating today's complex world. In this volume, you'll find two kinds of professional development tools to support that growth. Part I contains pre-made professional development via links to webinars from the 2016 and 2017 4T Virtual Conference on Data Literacy, along with discussion questions and activities that can animate conversations around data in your school. Part II explores data in the wild with case studies pulled from the headlines, along with provocative discussion questions, professionals and students alike can explore multiple perspectives at play with Big Data, data privacy, personal data management, ethical data use, and citizen science. |
| cu boulder online master's data science: Talking About Leaving Elaine Seymour, 2000-08-01 This intriguing book explores the reasons that lead undergraduates of above-average ability to switch from science, mathematics, and engineering majors into nonscience majors. Based on a three-year, seven-campus study, the volume takes up the ongoing national debate about the quality of undergraduate education in these fields, offering explanations for net losses of students to non-science majors. Data show that approximately 40 percent of undergraduate students leave engineering programs, 50 percent leave the physical and biological sciences, and 60 percent leave mathematics. Concern about this waste of talent is heightened because these losses occur among the most highly qualified college entrants and are disproportionately greater among women and students of color, despite a serious national effort to improve their recruitment and retention. The authors' findings, culled from over 600 hours of ethnographic interviews and focus group discussions with undergraduates, explain the intended and unintended consequences of some traditional teaching practices and attitudes. Talking about Leaving is richly illustrated with students' accounts of their own experiences in the sciences. This is a landmark study-an essential source book for all those concerned with changing the ways that we teach science, mathematics, and engineering education, and with opening these fields to a more diverse student body. |
| cu boulder online master's data science: Introduction to Power Electronics Daniel W. Hart, 1997 This text provides coverage of computer simulation and introductory material on power calculations, as it treats power computations, rectifiers, dc-dc converters and dc power supplies, inverters, and resonant converters. |
| cu boulder online master's data science: Emotion and Psychopathology Jonathan Rottenberg, Sheri L. Johnson, 2007 Synthesizing theoretical and methodological developments in affective science and highlighting their potential application to psychopathology, this edited volume illustrates the importance of transferring basic research into the clinical area and considers the potential payoffs of using affective science to conceptualize and treat major mental disorders. |
| cu boulder online master's data science: Beyond Sunni and Shia Frederic M. Wehrey, 2017 Surveys the landscape of modern sectarianism within Islam in North Africa and the Middle East. |
| cu boulder online master's data science: Digital Systems Jean-Pierre Deschamps, Elena Valderrama, Lluís Terés, 2016-10-12 This textbook for a one-semester course in Digital Systems Design describes the basic methods used to develop “traditional” Digital Systems, based on the use of logic gates and flip flops, as well as more advanced techniques that enable the design of very large circuits, based on Hardware Description Languages and Synthesis tools. It was originally designed to accompany a MOOC (Massive Open Online Course) created at the Autonomous University of Barcelona (UAB), currently available on the Coursera platform. Readers will learn what a digital system is and how it can be developed, preparing them for steps toward other technical disciplines, such as Computer Architecture, Robotics, Bionics, Avionics and others. In particular, students will learn to design digital systems of medium complexity, describe digital systems using high level hardware description languages, and understand the operation of computers at their most basic level. All concepts introduced are reinforced by plentiful illustrations, examples, exercises, and applications. For example, as an applied example of the design techniques presented, the authors demonstrate the synthesis of a simple processor, leaving the student in a position to enter the world of Computer Architecture and Embedded Systems. |
| cu boulder online master's data science: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| cu boulder online master's data science: Wireless Networks and Technologies Gerard Prudhomme, 2017-11 A wireless computer system network, precisely what is it? By bringing together the personal computers to be able to wirelessly communicate with almost every other computer, the personal computer wireless network assists you in your efforts to contribute central sources of information and, as a consequence, deliver results collaboratively. Here's information about how a wireless system network functions.The first chapter refers to wireless networks and technologies. Chapter 2 shows that heterogeneous wi-fi community, handover strategies are designed to facilitate everywhere/each time service continuity for cellular customers. Chapter 3 looks at generating three-D ultrasound snap shots.Chapter 4 looks at clever mobile gadgets and wireless conversation technologies. Chapter 5 proves that simulation is the most imperative technique to analyze a network's conduct and validation. Chapter 6 has a goal to design a vertical handover prediction approach to decrease useless handovers for a node.Chapter 7 shows that wi-fi body place networks (WBANs) are expected to persuade the traditional clinical model through assisting caretakers with health telemonitoring. Chapter 8 showcases how wireless sensor networks (WSN) comprises small sensor nodes with constrained energy competencies. Chapter 9 displays how spectrum shortage is a major challenge in wireless communications structures requiring utilization and usage.Chapter 10 looks at how Wifi broadband seems to have obtained exceptional consideration from the analysis environment. Chapter 11 describes how RNC has come out as an amazing remedy for effective P2P broadcasting over the net. Chapter 12 looks at how Smartphones have become the main exchange and transportable computing devices that get entry to the net through mobile networks. |
| cu boulder online master's data science: Health Humanities Reader Therese Jones, Delese Wear, Lester D. Friedman, 2014-08-28 Over the past forty years, the health humanities, previously called the medical humanities, has emerged as one of the most exciting fields for interdisciplinary scholarship, advancing humanistic inquiry into bioethics, human rights, health care, and the uses of technology. It has also helped inspire medical practitioners to engage in deeper reflection about the human elements of their practice. In Health Humanities Reader, editors Therese Jones, Delese Wear, and Lester D. Friedman have assembled fifty-four leading scholars, educators, artists, and clinicians to survey the rich body of work that has already emerged from the field—and to imagine fresh approaches to the health humanities in these original essays. The collection’s contributors reflect the extraordinary diversity of the field, including scholars from the disciplines of disability studies, history, literature, nursing, religion, narrative medicine, philosophy, bioethics, medicine, and the social sciences. With warmth and humor, critical acumen and ethical insight, Health Humanities Reader truly humanizes the field of medicine. Its accessible language and broad scope offers something for everyone from the experienced medical professional to a reader interested in health and illness. |
| cu boulder online master's data science: Building Machine Learning Pipelines Hannes Hapke, Catherine Nelson, 2020-07-13 Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques |
| cu boulder online master's data science: A Global History of Sexuality Robert M. Buffington, Eithne Luibhéid, Donna J. Guy, 2014-02-24 A Global History of Sexuality provides a provocative, wide-ranging introduction to the history of sexuality from the late eighteenth century to the present day. Explores what sexuality has meant in the everyday lives of individuals over the last 200 years Organized around four major themes: the formation of sexual identity, the regulation of sexuality by societal norms, the regulation of sexuality by institutions, and the intersection of sexuality with globalization Examines the topic from a comparative, global perspective, with well-chosen case studies to illuminate the broader themes Includes interdisciplinary contributions from prominent historians, sociologists, anthropologists, and sexuality studies scholars Introduces important theoretical concepts in a clear, accessible way |
| cu boulder online master's data science: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications. |
| cu boulder online master's data science: Pedagogy of the Oppressed Paulo Freire, 1972 |
| cu boulder online master's data science: Echocardiography for the Neonatologist Jonathan Skinner, Dale Alverson, Archibald Stewart Hunter, 2000 A practical resource on using echcardiography by the specialist in infants four weeks old and younger. Lavish illustrations, clinical examples, and practical advice provide an excellent companion to those applying echocardiography for infant care. |
| cu boulder online master's data science: Good with Words Patrick Barry, 2019-05-31 If your success at work or in school depends on your ability to communicate persuasively in writing, you'll want to get Good with Words. Based on a course that law students at the University of Michigan and the University of Chicago have called outstanding, A-M-A-Z-I-N-G, and the best course I have ever taken, the book brings together a collection of concepts, exercises, and examples that have also helped improve the advocacy skills of people pursuing careers in many other fields--from marketing, to management, to medicine. There is nobody better than Patrick Barry when it comes to breaking down how to write and edit. His techniques don't just make you sound better. They make you think better. I'm jealous of the people who get to take his classes. --Professor Lisa Bernstein, University of Chicago Law School and Oxford University Center for Corporate Regulation Whenever I use Patrick Barry's materials in my class, the student reaction is the same: 'We want more of them.' --Professor Dave Babbe, UCLA School of Law Working one-on-one with Patrick Barry should be mandatory for all lawyers, regardless of seniority. This book is the next best thing. --Purvi Patel, Partner at Morrison Foerster LLP I am proud to say that, when it comes to writing, I speak Patrick Barry. What I mean is that I use, pretty much every day, the writing vocabulary and techniques he offers in this great book. So read it. Share it. And then, if you can, teach it. There are a lot of good causes in the world that could use a new generation of great advocates. --Professor Bridgette Carr, Assistant Dean of Strategic Initiatives and Director of the Human Trafficking Clinic at the University of Michigan Law School Patrick Barry is my secret weapon. I use his techniques every time I write, and I also teach them to all my students. --Professor Shai Dothan, Copenhagen Faculty of Law I know the materials in this book were originally created for lawyers and law students. But I actually find them really helpful for doctors as well, given that a lot of what I do every day depends on effective communication. There is a tremendous upside to becoming 'Good with Words. --Dr. Ramzi Abboud, Washington University School of Medicine in St. Louis. |
Resources | FORUM Credit Union
CU Online is FORUM’s secure online banking system that helps you easily manage your accounts, pay bills, …
Auto Loans | FORUM Credit Union
Download FORUM's Mobile App or use CU Online to set up your payments. You can also make a payment by visiting …
Personal Checking Accounts | FORUM Credit Union
Mastercard® Debit Card. The FORUM Credit Union Mastercard® Debit Card makes life a little easier. It gives you …
Rates | FORUM Credit Union
Account Type Min. Balance to Earn Dividends Dividend Rate APY; Business Analysis Checking $25,000 - $49,999
Personal and Business Banking | FORUM Credit Union
April 1, 2025 - December 31, 2025 FORUM Credit Union members are automatically entered to win the …
Resources | FORUM Credit Union
CU Online is FORUM’s secure online banking system that helps you easily manage your accounts, pay bills, transfer money and receive immediate communication about your accounts. Getting …
Auto Loans | FORUM Credit Union
Download FORUM's Mobile App or use CU Online to set up your payments. You can also make a payment by visiting any FORUM branch or shared branch location or via electronic check by …
Personal Checking Accounts | FORUM Credit Union
Mastercard® Debit Card. The FORUM Credit Union Mastercard® Debit Card makes life a little easier. It gives you fast and secure access to your funds for everyday and special purchases.
Rates | FORUM Credit Union
Account Type Min. Balance to Earn Dividends Dividend Rate APY; Business Analysis Checking $25,000 - $49,999
Personal and Business Banking | FORUM Credit Union
April 1, 2025 - December 31, 2025 FORUM Credit Union members are automatically entered to win the Mastercard® Priceless Surprises Sweepstakes every time they use their FORUM Mastercard® …
FORUM Story | FORUM Credit Union
Our History. FORUM Credit Union has proudly served Central Indiana since 1941 and has experienced tremendous growth by offering innovative services and modern ways to meet …
Branch and ATM Locations | FORUM Credit Union
April 1, 2025 - December 31, 2025 FORUM Credit Union members are automatically entered to win the Mastercard® Priceless Surprises Sweepstakes every time they use their FORUM Mastercard® …
Geist-Olio Road Branch & ATM | FORUM Credit Union
April 1, 2025 - December 31, 2025 FORUM Credit Union members are automatically entered to win the Mastercard® Priceless Surprises Sweepstakes every time they use their FORUM Mastercard® …
Avon Branch & ATM | FORUM Credit Union
April 1, 2025 - December 31, 2025 FORUM Credit Union members are automatically entered to win the Mastercard® Priceless Surprises Sweepstakes every time they use their FORUM Mastercard® …
Make a Payment | FORUM Credit Union
To make a one-time or recurring loan payment from your FORUM Credit Union account, please login or enroll in FORUM's online banking system, CU Online. To make a one-time loan payment from a …
