Advertisement
| data science masters colorado: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| data science masters colorado: 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. |
| data science masters colorado: 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 |
| data science masters colorado: 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. |
| data science masters colorado: Machine Learning Bookcamp Alexey Grigorev, 2021-11-23 The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning. |
| data science masters colorado: Applied Managerial Economics Modern Lectures, Incorporated, 2009-10 |
| data science masters colorado: 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. |
| data science masters colorado: The Data Science Handbook Carl Shan, Henry Wang, William Chen, Max Song, 2015-05-03 The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the co-creator of the term 'data scientist' thinks about career and personal success. You'll hear from a young woman who created her own data scientist curriculum, subsequently landing her a role in the field. Readers of this book will be left with war stories, wisdom and |
| data science masters colorado: Colleges That Create Futures Princeton Review, 2016-05-10 KICK-START YOUR CAREER WITH THE RIGHT ON-CAMPUS EXPERIENCE! When it comes to getting the most out of college, the experiences you have outside the classroom are just as important as what you study. Colleges That Create Futures looks beyond the usual “best of” college lists to highlight 50 schools that empower students to discover practical, real-world applications for their talents and interests. The schools in this book feature distinctive research, internship, and hands-on learning programs—all the info you need to help find a college where you can parlay your passion into a successful post-college career. Inside, You'll Find: • In-depth profiles covering career services, internship support, student group activity, alumni satisfaction, noteworthy facilities and programs, and more • Candid assessments of each school’s academics from students, current faculty, and alumni • Unique hands-on learning opportunities for students across majors • Testimonials on career prep from alumni in business, education, law, and much more *************************** What makes Colleges That Create Futures important? You've seen the headlines—lately the news has been full of horror stories about how the college educational system has failed many recent grads who leave school with huge debt, no job prospects, and no experience in the working world. Colleges That Create Futures identifies schools that don't fall into this trap but instead prepare students for successful careers! How are the colleges selected? Schools are selected based on survey results on career services, grad school matriculation, internship support, student group and government activity, alumni activity and salaries, and noteworthy facilities and programs. |
| data science masters colorado: Urban Cascadia and the Pursuit of Environmental Justice Nik Janos, Corina McKendry, 2021-10-26 In Portland’s harbor, environmental justice groups challenge the EPA for a more thorough cleanup of the Willamette River. Near Olympia, the Puyallup assert their tribal sovereignty and treaty rights to fish. Seattle housing activists demand that Amazon pay to address the affordability crisis it helped create. Urban Cascadia, the infrastructure, social networks, built environments, and non-human animals and plants that are interconnected in the increasingly urbanized bioregion that surrounds Portland, Seattle, and Vancouver, enjoys a reputation for progressive ambitions and forward-thinking green urbanism. Yet legacies of settler colonialism and environmental inequalities contradict these ambitions, even as people strive to achieve those progressive ideals. In this edited volume, historians, geographers, urbanists, and other scholars critically examine these contradictions to better understand the capitalist urbanization of nature, the creation of social and environmental inequalities, and the movements to fight for social and environmental justice. Neither a story of green disillusion nor one of green boosterism, Urban Cascadia and the Pursuit of Environmental Justice reveals how the region can address broader issues of environmental justice, Indigenous sovereignty, and the politics of environmental change. |
| data science masters colorado: 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 |
| data science masters colorado: 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. |
| data science masters colorado: Numsense! Data Science for the Layman Annalyn Ng, 2017-03-24 Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions. |
| data science masters colorado: Analytics, Data Science, and Artificial Intelligence Ramesh Sharda, Dursun Delen, Efraim Turban, 2020-03-06 For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT. |
| data science masters colorado: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| data science masters colorado: The New Metrics Elaine M. Lasda, 2019-08-19 New methods in bibliometrics and alternative metrics provide us with information about research impact at both increasingly granular and global levels. Here, editor Elaine Lasda and a cast of expert contributors present a variety of case studies that demonstrate the practical utilization of these new scholarly metrics. |
| data science masters colorado: 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. |
| data science masters colorado: Time Series Analysis Univariate and Multivariate Methods William W. S. Wei, 2018-03-14 With its broad coverage of methodology, this comprehensive book is a useful learning and reference tool for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational details and purpose of a variety of univariate and multivariate time series methods. Numerous figures, tables and real-life time series data sets illustrate the models and methods useful for analyzing, modeling, and forecasting data collected sequentially in time. The text also offers a balanced treatment between theory and applications. Time Series Analysis is a thorough introduction to both time-domain and frequency-domain analyses of univariate and multivariate time series methods, with coverage of the most recently developed techniques in the field. |
| data science masters colorado: The Data Warehouse Toolkit Ralph Kimball, Margy Ross, 2011-08-08 This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts. |
| data science masters colorado: Masters Theses in the Pure and Applied Sciences Wade H. Shafer, 2013-11-21 Masters Theses in the Pure and Applied Sciences was first conceived, published, and dis seminated by the Center for lnformation and Numerica/ Data Analysis and Synthesis (C/NDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficia! to the academic and general scientific and technical community. After fi ve years of this joint undertaking we had concluded that it was in the interest of ali concerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and App/ied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. Ali back issues can also be ordered from Plenum. We have reported in Volume 21 (thesis year 1976) a total of 10,586 theses titles from 25 Canadian and 219 United States universities. We are sure that this broader base for theses titles reported will greatly enhance the value of this important annual reference work. |
| data science masters colorado: Remote Sensing of the Mine Environment H. Şebnem Düzgün, Nuray Demirel, 2011-08-12 A guide for students and professionals, this introductory course book covers the basic principles of remote sensing and its applications in mine environment monitoring. Building from a reader’s basic knowledge of mine monitoring, it teaches how to implement remote sensing techniques and how to interpret the acquired data for different purposes. Following a general introduction to remote sensing principles and image analysis, mine subsidence monitoring, slope stability monitoring, reclamation planning and implementation, and post-closure mine and land use analysis are explained and illustrated. With the help of case studies, the techniques and tools presented are demonstrated. With an increasing importance of sustainable mining, this accurate text is intended for the education of university students in mining, civil, geological and environmental engineering. Researchers and professionals in these disciplines may find it beneficial as well to guide their professional monitoring investigations. |
| data science masters colorado: Predictive Analytics Eric Siegel, 2016-01-12 Mesmerizing & fascinating... —The Seattle Post-Intelligencer The Freakonomics of big data. —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a |
| data science masters colorado: Masters Abstracts International , 1991 |
| data science masters colorado: Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices Christina V. Schwarz, Cynthia Passmore, Brian J. Reiser , 2017-01-31 When it’s time for a game change, you need a guide to the new rules. Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices provides a play-by-play understanding of the practices strand of A Framework for K–12 Science Education (Framework) and the Next Generation Science Standards (NGSS). Written in clear, nontechnical language, this book provides a wealth of real-world examples to show you what’s different about practice-centered teaching and learning at all grade levels. The book addresses three important questions: 1. How will engaging students in science and engineering practices help improve science education? 2. What do the eight practices look like in the classroom? 3. How can educators engage students in practices to bring the NGSS to life? Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices was developed for K–12 science teachers, curriculum developers, teacher educators, and administrators. Many of its authors contributed to the Framework’s initial vision and tested their ideas in actual science classrooms. If you want a fresh game plan to help students work together to generate and revise knowledge—not just receive and repeat information—this book is for you. |
| data science masters colorado: Pragmatic AI Noah Gift, 2018-07-12 Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| data science masters colorado: Building Gender Equity in the Academy Sandra Laursen, Ann E. Austin, 2020-11-24 Grounded in scholarship but written for busy institutional leaders, Building Gender Equity in the Academy is a handbook of actionable strategies for faculty and administrators working to improve the inclusion and visibility of women and others who are marginalized in the sciences and in academe more broadly. |
| data science masters colorado: 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. |
| data science masters colorado: Transformative Ethnic Studies in Schools Christine E. Sleeter, Miguel Zavala, 2020 Drawing on Christine Sleeter's review of research on the academic and social impact of ethnic studies commissioned by the National Education Association, this book will examine the value and forms of teaching and researching ethnic studies. The book employs a diverse conceptual framework, including critical pedagogy, anti-racism, Afrocentrism, Indigeneity, youth participatory action research, and critical multicultural education. The book provides cases of classroom teachers to 'illustrate what such conceptual framework look like when enacted in the classroom, as well as tensions that spring from them within school bureaucracies driven by neoliberalism.' Sleeter and Zavala will also outline ways to conduct research for 'investigating both learning and broader impacts of ethnic research used for liberatory ends'-- |
| data science masters colorado: A Passion for Teaching Christopher Day, 2004 This book concentrates on the 'heart' of teaching; teachers' moral purposes, the nature of care, emotional commitment and motivation - celebrating and acknowledging the best teaching and the best teachers. |
| data science masters colorado: Programming Challenges Steven S Skiena, Miguel A. Revilla, 2006-04-18 There are many distinct pleasures associated with computer programming. Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work. Excitement arrives with the flash of insight that cracks a previously intractable problem. The spiritual quest for elegance can turn the hacker into an artist. There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. Instant online grading for all of these problems is available from two WWW robot judging sites. Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge. The judge has ruled on well over one million submissions from 27,000 registered users around the world to date. We have taken only the best of the best, the most fun, exciting, and interesting problems available. |
| data science masters colorado: Handbook of Neural Computing Applications Alianna J. Maren, Craig T. Harston, Robert M. Pap, 2014-05-10 Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design. |
| data science masters colorado: 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. |
| data science masters colorado: Masters Theses in the Pure and Applied Sciences W. H. Shafer, 2013-03-14 Masters Theses in the Pure and Applied Sciences was first conceived, published, and dis seminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS) * at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac tivity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 24 (thesis year 1979) a total of 10,033 theses titles from 26 Canadian and 215 United States universities. We are sure that this broader base for theses titles reported will greatly enhance the value of this important annual reference work. While Volume 24 reports these submitted in 1979, on occasion, certain universities do report theses submitted in previous years but not reported at the time. |
| data science masters colorado: 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 |
| data science masters colorado: 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. |
| data science masters colorado: Handbook of Parametric and Nonparametric Statistical Procedures David Sheskin, 1997 This book offers unparalleled coverage of parametric and nonparametric statistical procedures: Detailing nearly 75 statistical procedures, the text shows: - How to select and conduct the appropiate statistical analysis for evaluating data from an empirical study - How to discriminate acceptable from unacceptable research when considering experimental control, and statistical analysis - How to interpret and better understand results of published research across a spectrum of disciplines |
| data science masters colorado: International Polar Year United States. Congress. House. Committee on Science. Subcommittee on Research, 2006 |
| data science masters colorado: Network World , 2001-10-08 For more than 20 years, Network World has been the premier provider of information, intelligence and insight for network and IT executives responsible for the digital nervous systems of large organizations. Readers are responsible for designing, implementing and managing the voice, data and video systems their companies use to support everything from business critical applications to employee collaboration and electronic commerce. |
| data science masters colorado: Astronomy Jeffrey O. Bennett, Megan Donahue, Nicholas Schneider, Mark Voit, 2008-06-25 |
| data science masters colorado: Creative Curriculum Teaching Strategies, Gryphon House, Delmar Thomson Learning, 1988-01-01 The Creative Curriculum comes alive! This videotape-winner of the 1989 Silver Apple Award at the National Educational Film and Video Festival-demonstrates how teachers set the stage for learning by creating a dynamic well-organized environment. It shows children involved in seven of the interest areas in the The Creative Curriculum and explains how they learn in each area. Everyone conducts in-service training workshops for staff and parents or who teaches early childhood education courses will find the video an indispensable tool for explainin appropriate practice. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open …
Belmont Forum Adopts Open Data Principles for Environme…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data …
Belmont Forum Data Accessibility Statement an…
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
