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| ucla masters data science: Weaving an Otherwise Amanda Tachine, Z Nicolazzo, 2023-07-03 Who (and what) are you bearing witness to (and for) through your research? When you witness, what claims are you making about who and what matters? What does your research forget, and does it do it on purpose?This book reconceptualizes qualitative research as an in-relations process, one that is centered on, fully concerned with, and lifts up those who have been and continue to be dispossessed, harmed, dehumanized, and erased because of white supremacy, settler colonialism, or other hegemonic world views.It prompts scholars to make connections between themselves as “researchers” and affect, ancestors, community, family and kinship, space and place, and the more than human beings with whom they are always already in community.What are the modes and ways of knowing through which we approach our research? How can the practice of research bring us closer to the peoples, places, more than human beings, histories, presents, and futures in which we are embedded and connected to? If we are the instruments of our research, then how must we be attentive to all of the affects and relations that make us who we are and what will become? These questions animate Weaving an Otherwise, providing a wellspring from which we think about our interconnections to the past, present, and future possibilities of research.After an opening chapter by the editors that explores the consequences and liberating opportunities of rejecting dominant qualitative methodologies that erase the voices of the subordinated and disdained, the contributors of nine chapters explore and enact approaches that uncover hidden connections and reveal unconscious value systems. |
| ucla masters data science: Mathematics for Economists Carl P. Simon, Lawrence Blume, 1994 Mathematics for Economists, a new text for advanced undergraduate and beginning graduate students in economics, is a thoroughly modern treatment of the mathematics that underlies economic theory. An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organisation-these are the advantages that Mathematics for Economists brings to today's classroom. |
| ucla masters data science: Feature Engineering and Selection Max Kuhn, Kjell Johnson, 2019-07-25 The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results. |
| ucla masters data science: Understanding the Educational and Career Pathways of Engineers National Academy of Engineering, Committee on Understanding the Engineering Education-Workforce Continuum, 2019-01-26 Engineering skills and knowledge are foundational to technological innovation and development that drive long-term economic growth and help solve societal challenges. Therefore, to ensure national competitiveness and quality of life it is important to understand and to continuously adapt and improve the educational and career pathways of engineers in the United States. To gather this understanding it is necessary to study the people with the engineering skills and knowledge as well as the evolving system of institutions, policies, markets, people, and other resources that together prepare, deploy, and replenish the nation's engineering workforce. This report explores the characteristics and career choices of engineering graduates, particularly those with a BS or MS degree, who constitute the vast majority of degreed engineers, as well as the characteristics of those with non-engineering degrees who are employed as engineers in the United States. It provides insight into their educational and career pathways and related decision making, the forces that influence their decisions, and the implications for major elements of engineering education-to-workforce pathways. |
| ucla masters data science: Scholarship in the Digital Age Christine L. Borgman, 2010 In Scholarship in the Digital Age, Christine Borgman explores the technical, social, legal, and economic aspects of the kind of infrastructure that we should be building for scholarly research in the twenty-first century. Borgman describes the roles that information technology plays at every stage in the life cycle of a research project and contrasts these new capabilities with the relatively stable system of scholarly communication, which remains based on publishing in journals, books, and conference proceedings. Analyzing scholarly practices in the sciences, social sciences, and humanities, Borgman compares each discipline's approach to infrastructure issues. In the process, she challenges the many stakeholders in the scholarly infrastructure--scholars, publishers, libraries, funding agencies, and others--to look beyond their own domains to address the interaction of technical, legal, economic, social, political, and disciplinary concerns. Scholarship in the Digital Age will provoke a conversation among all who depend on a rich and robust scholarly environment.--Jacket. |
| ucla masters data science: Software for Data Analysis John Chambers, 2008-06-14 John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved. |
| ucla masters data science: Data Preparation for Data Mining Dorian Pyle, 1999-03-22 This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance. |
| ucla masters data science: Data Feminism Catherine D'Ignazio, Lauren F. Klein, 2023-10-03 Cutting edge strategies for thinking about data science and data ethics through an intersectional feminist lens. “Without ever finger-wagging, Data Feminism reveals inequities and offers a way out of a broken system in which the numbers are allowed to lie.”—WIRED Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed. |
| ucla masters data science: The Craft of Criticism Michael Kackman, Mary Celeste Kearney, 2018-06-22 With contributions from 30 leading media scholars, this collection provides a comprehensive overview of the main methodologies of critical media studies. Chapters address various methods of textual analysis, as well as reception studies, policy, production studies, and contextual, multi-method approaches, like intertextuality and cultural geography. Film and television are at the heart of the collection, which also addresses emergent technologies and new research tools in such areas as software studies, gaming, and digital humanities. Each chapter includes an intellectual history of a particular method or approach, a discussion of why and how it was used to study a particular medium or media, relevant examples of influential work in the area, and an in-depth review of a case study drawn from the author's own research. Together, the chapters in this collection give media critics a complete toolbox of essential critical media studies methodologies. |
| ucla masters data science: Preparing and Sustaining Social Justice Educators Annamarie Francois, Karen Hunter Quartz, 2021-08-24 Preparing and Sustaining Social Justice Educators spotlights the challenging and necessary work of fostering social justice in schools. Integral to this work are the teachers and school leaders who enact the principles of social justice--racial equity, cultural inclusivity, and identity acceptance--daily in their classrooms. This volume makes the case that high-quality public education relies on the recruitment, professional development, and retention of educators ready to navigate complex systemic and structural inequities to best serve vulnerable student populations. Annamarie Francois and Karen Hunter Quartz, along with contributing scholars and practitioners, present an intersectional approach to educational justice that is grounded in research about deeper learning, community development, and school reform. Throughout the book, the contributors detail professional activities proven to sustain social justice educators. They show how effective teacher coaching, for example, encourages educators to confront their explicit and implicit biases, to engage in critical conversations and self-reflection, and to assess teacher performance through a social justice lens. The book illustrates how professional learning collaborations promote diverse, antiracist, and socially responsible learning communities. Case studies at three university-partnered K-12 schools in Los Angeles, demonstrate the benefits of these professional alliances and practices. Francois and Quartz acknowledge the difficulty of the social justice educator's task, a challenge heightened by a K-12 teacher shortage, an undersupplied teacher pipeline, and school closures. Yet they keep their sights set on a just and equitable future, and in this work they give educators the tools to build such a future. |
| ucla masters data science: Eat to Beat Disease William W Li, 2019-03-19 Eat your way to better health with this New York Times bestseller on food's ability to help the body heal itself from cancer, dementia, and dozens of other avoidable diseases. Forget everything you think you know about your body and food, and discover the new science of how the body heals itself. Learn how to identify the strategies and dosages for using food to transform your resilience and health in Eat to Beat Disease. We have radically underestimated our body's power to transform and restore our health. Pioneering physician scientist, Dr. William Li, empowers readers by showing them the evidence behind over 200 health-boosting foods that can starve cancer, reduce your risk of dementia, and beat dozens of avoidable diseases. Eat to Beat Disease isn't about what foods to avoid, but rather is a life-changing guide to the hundreds of healing foods to add to your meals that support the body's defense systems, including: Plums Cinnamon Jasmine tea Red wine and beer Black Beans San Marzano tomatoes Olive oil Pacific oysters Cheeses like Jarlsberg, Camembert and cheddar Sourdough bread The book's plan shows you how to integrate the foods you already love into any diet or health plan to activate your body's health defense systems-Angiogenesis, Regeneration, Microbiome, DNA Protection, and Immunity-to fight cancer, diabetes, cardiovascular, neurodegenerative autoimmune diseases, and other debilitating conditions. Both informative and practical, Eat to Beat Disease explains the science of healing and prevention, the strategies for using food to actively transform health, and points the science of wellbeing and disease prevention in an exhilarating new direction. |
| ucla masters data science: HyperCities Todd Samuel Presner, David Shepard, Yoh Kawano, 2014 More than a physical space, a hypercity is a real city overlaid with information networks that document the past, catalyze the present, and project future possibilities. Hypercities are always under construction. HyperCities puts digital humanities theory into practice to chart the proliferating cultural records of places around the world. |
| ucla masters data science: Social Security Benefits for Students United States. Congressional Budget Office, 1977 |
| ucla masters data science: The Health Professions Scholarship Program , 1968 |
| ucla masters data science: The Affordable City Shane Phillips, 2020-09-15 From Los Angeles to Boston and Chicago to Miami, US cities are struggling to address the twin crises of high housing costs and household instability. Debates over the appropriate course of action have been defined by two poles: building more housing or enacting stronger tenant protections. These options are often treated as mutually exclusive, with support for one implying opposition to the other. Shane Phillips believes that effectively tackling the housing crisis requires that cities support both tenant protections and housing abundance. He offers readers more than 50 policy recommendations, beginning with a set of principles and general recommendations that should apply to all housing policy. The remaining recommendations are organized by what he calls the Three S’s of Supply, Stability, and Subsidy. Phillips makes a moral and economic case for why each is essential and recommendations for making them work together. There is no single solution to the housing crisis—it will require a comprehensive approach backed by strong, diverse coalitions. The Affordable City is an essential tool for professionals and advocates working to improve affordability and increase community resilience through local action. |
| ucla masters data science: From Gutenberg to the Global Information Infrastructure Christine L. Borgman, 2003-01-24 Will the emerging global information infrastructure (GII) create a revolution in communication equivalent to that wrought by Gutenberg, or will the result be simply the evolutionary adaptation of existing behavior and institutions to new media? Will the GII improve access to information for all? Will it replace libraries and publishers? How can computers and information systems be made easier to use? What are the trade-offs between tailoring information systems to user communities and standardizing them to interconnect with systems designed for other communities, cultures, and languages? This book takes a close look at these and other questions of technology, behavior, and policy surrounding the GII. Topics covered include the design and use of digital libraries; behavioral and institutional aspects of electronic publishing; the evolving role of libraries; the life cycle of creating, using, and seeking information; and the adoption and adaptation of information technologies. The book takes a human-centered perspective, focusing on how well the GII fits into the daily lives of the people it is supposed to benefit. Taking a unique holistic approach to information access, the book draws on research and practice in computer science, communications, library and information science, information policy, business, economics, law, political science, sociology, history, education, and archival and museum studies. It explores both domestic and international issues. The author's own empirical research is complemented by extensive literature reviews and analyses. |
| ucla masters data science: Girl of New Zealand Michelle Erai, 2020-05-19 Girl of New Zealand presents a nuanced insight into the way violence and colonial attitudes shaped the representation of Māori women and girls. Michelle Erai examines more than thirty images of Māori women alongside the records of early missionaries and settlers in Aotearoa, as well as comments by archivists and librarians, to shed light on how race, gender, and sexuality have been ascribed to particular bodies. Viewed through Māori, feminist, queer, and film theories, Erai shows how images such as Girl of New Zealand (1793) and later images, cartoons, and travel advertising created and deployed a colonial optic. Girl of New Zealand reveals how the phantasm of the Māori woman has shown up in historical images, how such images shape our imagination, and how impossible it has become to maintain the delusion of the “innocent eye.” Erai argues that the process of ascribing race, gender, sexuality, and class to imagined bodies can itself be a kind of violence. In the wake of the Me Too movement and other feminist projects, Erai’s timely analysis speaks to the historical foundations of negative attitudes toward Indigenous Māori women in the eyes of colonial “others”—outsiders from elsewhere who reflected their own desires and fears in their representations of the Indigenous inhabitants of Aotearoa, New Zealand. Erai resurrects Māori women from objectification and locates them firmly within Māori whānau and communities. |
| ucla masters data science: Project Evaluation Arnold C. Harberger, 1976-07-15 The collection of papers on social project evaluation. |
| ucla masters data science: Tax Withholding and Estimated Tax , 1995 |
| ucla masters data science: Tika in Action Jukka L. Zitting, Chris Mattmann, 2011-11-30 Summary Tika in Action is a hands-on guide to content mining with Apache Tika. The book's many examples and case studies offer real-world experience from domains ranging from search engines to digital asset management and scientific data processing. About the Technology Tika is an Apache toolkit that has built into it everything you and your app need to know about file formats. Using Tika, your applications can discover and extract content from digital documents in almost any format, including exotic ones. About this Book Tika in Action is the ultimate guide to content mining using Apache Tika. You'll learn how to pull usable information from otherwise inaccessible sources, including internet media and file archives. This example-rich book teaches you to build and extend applications based on real-world experience with search engines, digital asset management, and scientific data processing. In addition to architectural overviews, you'll find detailed chapters on features like metadata extraction, automatic language detection, and custom parser development. This book is written for developers who are new to both Scala and Lift and covers just enough Scala to get you started. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Crack MS Word, PDF, HTML, and ZIP Integrate with search engines, CMS, and other data sources Learn through experimentation Many examples This book requires no previous knowledge of Tika or text mining techniques. It assumes a working knowledge of Java. ========================================== Table of Contents PART 1 GETTING STARTED The case for the digital Babel fish Getting started with Tika The information landscape PART 2 TIKA IN DETAIL Document type detection Content extraction Understanding metadata Language detection What's in a file? PART 3 INTEGRATION AND ADVANCED USE The big picture Tika and the Lucene search stack Extending Tika PART 4 CASE STUDIES Powering NASA science data systems Content management with Apache Jackrabbit Curating cancer research data with Tika The classic search engine example |
| ucla masters data science: Mismatch Richard Sander, Stuart Taylor Jr, 2012-10-09 The debate over affirmative action has raged for over four decades, with little give on either side. Most agree that it began as noble effort to jump-start racial integration; many believe it devolved into a patently unfair system of quotas and concealment. Now, with the Supreme Court set to rule on a case that could sharply curtail the use of racial preferences in American universities, law professor Richard Sander and legal journalist Stuart Taylor offer a definitive account of what affirmative action has become, showing that while the objective is laudable, the effects have been anything but. Sander and Taylor have long admired affirmative action's original goals, but after many years of studying racial preferences, they have reached a controversial but undeniable conclusion: that preferences hurt underrepresented minorities far more than they help them. At the heart of affirmative action's failure is a simple phenomenon called mismatch. Using dramatic new data and numerous interviews with affected former students and university officials of color, the authors show how racial preferences often put students in competition with far better-prepared classmates, dooming many to fall so far behind that they can never catch up. Mismatch largely explains why, even though black applicants are more likely to enter college than whites with similar backgrounds, they are far less likely to finish; why there are so few black and Hispanic professionals with science and engineering degrees and doctorates; why black law graduates fail bar exams at four times the rate of whites; and why universities accept relatively affluent minorities over working class and poor people of all races. Sander and Taylor believe it is possible to achieve the goal of racial equality in higher education, but they argue that alternative policies -- such as full public disclosure of all preferential admission policies, a focused commitment to improving socioeconomic diversity on campuses, outreach to minority communities, and a renewed focus on K-12 schooling -- will go farther in achieving that goal than preferences, while also allowing applicants to make informed decisions. Bold, controversial, and deeply researched, Mismatch calls for a renewed examination of this most divisive of social programs -- and for reforms that will help realize the ultimate goal of racial equality. |
| ucla masters data science: Developmental Editing Scott Norton, 2011 Editing is a tricky business. It requires analytical flair and creative panache, the patience of a saint and the vision of a writer. Transforming a manuscript into a book that edifies, inspires, and sells? That's the job of the developmental editor, whose desk is the first stop for many manuscripts on the road to bookdom--a route ably mapped out in the pages of Developmental Editing. Author Scott Norton has worked with a diverse range of authors, editors, and publishers, and his handbook provides an approach to developmental editing that is logical, collaborative, humorous, and realistic. He starts with the core tasks of shaping the proposal, finding the hook, and building the narrative or argument, and then turns to the hard work of executing the plan and establishing a style. Developmental Editing includes detailed case studies featuring a variety of nonfiction books--election-year polemic, popular science, memoir, travel guide--and authors ranging from first-timer to veteran, journalist to scholar. Handy sidebars offer advice on how to become a developmental editor, create effective illustration programs, and adapt sophisticated fiction techniques (such as point of view, suspense, plotting, character, and setting) to nonfiction writing. Norton's book also provides freelance copyeditors with a way to earn higher fees while introducing more creativity into their work lives. It gives acquisitions, marketing, and production staff a vocabulary for diagnosing a manuscript's flaws and techniques for transforming it into a bestseller. And perhaps most importantly, Developmental Editing equips authors with the concrete tools they need to reach their audiences. |
| ucla masters data science: The Master Algorithm Pedro Domingos, 2015-09-22 Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. |
| ucla masters data science: Writing Your Dissertation in Fifteen Minutes a Day Joan Bolker, 1998-08-15 Expert writing advice from the editor of the Boston Globe best-seller, The Writer's Home Companion Dissertation writers need strong, practical advice, as well as someone to assure them that their struggles aren't unique. Joan Bolker, midwife to more than one hundred dissertations and co-founder of the Harvard Writing Center, offers invaluable suggestions for the graduate-student writer. Using positive reinforcement, she begins by reminding thesis writers that being able to devote themselves to a project that truly interests them can be a pleasurable adventure. She encourages them to pay close attention to their writing method in order to discover their individual work strategies that promote productivity; to stop feeling fearful that they may disappoint their advisors or family members; and to tailor their theses to their own writing style and personality needs. Using field-tested strategies she assists the student through the entire thesis-writing process, offering advice on choosing a topic and an advisor, on disciplining one's self to work at least fifteen minutes each day; setting short-term deadlines, on revising and defing the thesis, and on life and publication after the dissertation. Bolker makes writing the dissertation an enjoyable challenge. |
| ucla masters data science: Big Data, Little Data, No Data Christine L. Borgman, 2017-02-03 An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation—six “provocations” meant to inspire discussion about the uses of data in scholarship—Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship. |
| ucla masters data science: Modern Oddity Ayushee Roy, 2021-04-26 Calling all misfits to relish obscurities, introspection, and reconceptualization of the mundane within the pages of Modern Oddity: Poetic Musings of a Chronic Storyteller! Using realities true, borrowed, and imagined, Ayushee Roy wields her passion for storytelling to create an insightful anthology on the complexities of the human experience. Her poems urge readers to feel seen and understood, while also encouraging them to truly explore and understand the world around them. From depicting the suffocating nature of societal expectations in Catalogue of Misfires, and welcoming unpredictability in The 21st Century Guide to Rituals, to empathizing with the Minotaur's loneliness and reinventing Sirens as symbols for modern femininity, Modern Oddity seeks to include rather than exclude-and to celebrate rather than deprecate. Through witty, rhythmic, and poignant verse, Roy gives you permission to embrace the idiosyncrasies in your own life, while reminding you to seek out little pockets of peace within the vibrant mess that this world can sometimes offer. |
| ucla masters data science: Biochar: Fundamentals and Applications in Environmental Science and Remediation Technologies , 2021-11-18 Biochar: Fundamentals and Applications in Environmental Science and Remediation Technologies, Volume Six provides readers with the fundamentals of scientific and technological aspects of biochar application in stormwater treatment, its use in contaminant removal, greenhouse gas mitigation, as landfill cover material, and new environmental and agronomic applications. Chapters in this new release cover Biochar application for soil remediation in a redox-sensitive environment, Remediation of heavy metal contaminated soil: Role of biochar, Role of biochar as a cover material in Landfill waste disposal system- Perspective from Unsaturated soil mechanics, Biochar in soil re-engineering, Green remediation of contaminated agricultural land using biochar, and more. Additional chapters cover the Impact of biochars on redox processes in soils, Biochar for manipulation of manure properties, A relationship paradigm between biochar amendments and green house gas emissions, Biochar amalgamation with clay: Enhanced performance for environmental remediation, Functionalization of biochar using microbial consortia, and the Potential role of biochar to mitigate the negative impacts of climate change on water quality. - Provides up to-date information on the use of biochar for contaminant remediation, as landfill cover material, and as a tool for energy transition - Includes the aspect of biochar's use in mitigating impacts of climate change and how manure properties can be altered through biochar addition - Covers the role of microbial consortia on biochar functionalization |
| ucla masters data science: Urban Humanities Dana Cuff, Anastasia Loukaitou-Sideris, Todd Presner, Maite Zubiaurre, Jonathan Jae-An Crisman, 2020-04-07 Original, action-oriented humanist practices for interpreting and intervening in the city: a new methodology at the intersection of the humanities, design, and urban studies. Urban humanities is an emerging field at the intersection of the humanities, urban planning, and design. It offers a new approach not only for understanding cities in a global context but for intervening in them, interpreting their histories, engaging with them in the present, and speculating about their futures. This book introduces both the theory and practice of urban humanities, tracing the evolution of the concept, presenting methods and practices with a wide range of research applications, describing changes in teaching and curricula, and offering case studies of urban humanities practices in the field. Urban humanities views the city through a lens of spatial justice, and its inquiries are centered on the microsettings of everyday life. The book's case studies report on real-world projects in mega-cities in the Pacific Rim—Tokyo, Shanghai, Mexico City, and Los Angeles—with several projects described in detail, including playful spaces for children in car-oriented Mexico City, a commons in a Tokyo neighborhood, and a rolling story-telling box to promote “literary justice” in Los Angeles. |
| ucla masters data science: Bioinformatics Algorithms Phillip Compeau, Pavel Pevzner, 1986-06 Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as Are There Fragile Regions in the Human Genome? or Which DNA Patterns Play the Role of Molecular Clocks? and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides. |
| ucla masters data science: Teaching Community bell hooks, 2013-08-21 Ten years ago, bell hooks astonished readers with Teaching to Transgress: Education as the Practice of Freedom. Now comes Teaching Community: A Pedagogy of Hope - a powerful, visionary work that will enrich our teaching and our lives. Combining critical thinking about education with autobiographical narratives, hooks invites readers to extend the discourse of race, gender, class and nationality beyond the classroom into everyday situations of learning. bell hooks writes candidly about her own experiences. Teaching, she explains, can happen anywhere, any time - not just in college classrooms but in churches, in bookstores, in homes where people get together to share ideas that affect their daily lives. In Teaching Community bell hooks seeks to theorize from the place of the positive, looking at what works. Writing about struggles to end racism and white supremacy, she makes the useful point that No one is born a racist. Everyone makes a choice. Teaching Community tells us how we can choose to end racism and create a beloved community. hooks looks at many issues-among them, spirituality in the classroom, white people looking to end racism, and erotic relationships between professors and students. Spirit, struggle, service, love, the ideals of shared knowledge and shared learning - these values motivate progressive social change. Teachers of vision know that democratic education can never be confined to a classroom. Teaching - so often undervalued in our society -- can be a joyous and inclusive activity. bell hooks shows the way. When teachers teach with love, combining care, commitment, knowledge, responsibility, respect, and trust, we are often able to enter the classroom and go straight to the heart of the matter, which is knowing what to do on any given day to create the best climate for learning. |
| ucla masters data science: Statement of Findings, University of California, Los Angeles , 1990 |
| ucla masters data science: Finite Element Analysis of Structures Ivan Němec, Vladimir Kolar, Ivan Sevcik, Zbynek Vlk, Johan Blaauwendraat, Jiri Bucek, Bretislav Teply, Drahomir Novak, Vitezslav Stembera, 2010 |
| ucla masters data science: Asymmetric Optimal Policies in Multi-dimensional Operational Decisions Soo-Haeng Cho, 2008 |
| ucla masters data science: Catalog [electronic Resource]; 1990/91 Amherst College, 2021-09-10 This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. |
| ucla masters data science: New Perspectives on Capital Allocation David Bardolet, 2008 |
| ucla masters data science: Falling Through the Cracks: Critical Transitions in the Latina/o Educational Pipeline Lindsay Perez Huber, 2010-03 Within educational research, the pipeline metaphor is often used to describe how students move through the primary, secondary, and postsecondary levels of educ. The pipeline for Latina/o students, however, does now allow this group of students to flow smoothly through the various levels of educ. and yield a fairly proportionate number of high school and postsecondary grad. For ex., out of every 100 Latina elementary students in the U.S., 54 will graduate from high school; from these, 11 will graduate from college, 4 will graduate from grad. or professional school, and less than 1 will receive a doctorate. This report discusses this problem as well as areas of concern that must be addressed if current educ. outcomes for Latina/o students are to improve. Illus. |
| ucla masters data science: Right College, Right Price Frank Palmasani, 2013 Describes how the Financial Fit program can help families determine how much college will really cost beyond the sticker price and factor cost into the college search, and explains how to maximize financial aid benefits. |
| ucla masters data science: Changing the U.S. Health Care System Ronald M. Andersen, Thomas H. Rice, Gerald F. Kominski, 2007-03-15 The third edition of Changing the U.S. Health Care System is a thoroughly revised and updated compendium of the most current thought on three key components of health care policy—improving access, ensuring quality, and controlling costs. Written by a panel of health care policy experts, this third edition highlights the most recent research relevant to health policy and management issues. New chapters address topics such as the disparities in health and in health care, information systems, and performance in the area of nursing. Revisions to chapters from the previous edition emphasize the most recent developments in the field. |
| ucla masters data science: Takeovers, Restructuring, and Corporate Governance J. Fred Weston, Mark L. Mitchell, J. Harold Mulherin, 2013-08-27 For undergraduate/graduate-level courses on Mergers and Acquisitions, or as a supplement for Business or Corporate Finance, Economics, or Strategy. This book brings together conceptual and updated empirical material in a systematic way. It provides students with a basis for understanding mergers and acquisitions and corporate restructuring in the framework of strategic planning issues facing managers in all companies, small and large. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
| ucla masters data science: Machine Learning and Data Science Daniel D. Gutierrez, 2015 A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. |
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加利福尼亚大学洛杉矶分校（University of California，Los Angeles），简称UCLA，是位于美国洛杉矶的公立综合性研究型大学，是环太平洋大学联盟和国际公立大 …
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2 days ago · UCLA’s AJ Salgado celebrates after hitting a two-run double in the fourth inning of the Bruins’ 6-4 win over Murray State in …
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UCLA is one of the five biggest employers in Los Angeles. Out of 42,000 full- and part-time jobs here, you will find a place for your talent to …
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The University of California, Los Angeles (UCLA) [1] is a public land-grant research university in Los Angeles, California, United States. Its …
A World Leader in Education and Research Excellence | UCLA
UCLA advances knowledge, addresses pressing societal needs and creates a university enriched by diverse perspectives where all individuals can flourish.
加利福尼亚大学洛杉矶分校 - 百度百科
加利福尼亚大学洛杉矶分校（University of California，Los Angeles），简称UCLA，是位于美国洛杉矶的公立综合性研究型大学，是环太平洋大学联盟和国际公立大学论坛成员，被誉为“公立常 …
UCLA baseball defeats Murray State in College World Series …
2 days ago · UCLA’s AJ Salgado celebrates after hitting a two-run double in the fourth inning of the Bruins’ 6-4 win over Murray State in the College World Series on Saturday.
Current Job & Career Openings and Opportunities | UCLA
UCLA is one of the five biggest employers in Los Angeles. Out of 42,000 full- and part-time jobs here, you will find a place for your talent to flourish. You’ll have the flexibility to switch roles, …
University of California, Los Angeles - Wikipedia
The University of California, Los Angeles (UCLA) [1] is a public land-grant research university in Los Angeles, California, United States. Its academic roots were established in 1881 as a …
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14 hours ago · LSU vs UCLA baseball live updates Fourth inning: LSU 5, UCLA 3 LSU-UCLA College World Series game postponed to Tuesday. About three hours after the LSU-UCLA …
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