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| chicago data science masters: SQL Pocket Guide Alice Zhao, 2021-08-26 If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite. In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more. Quickly look up how to perform specific tasks using SQL Apply the book's syntax examples to your own queries Update SQL queries to work in five different database management systems NEW: Connect Python and R to a relational database NEW: Look up frequently asked SQL questions in the How Do I? chapter |
| chicago data science masters: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
| chicago data science masters: Mathematical Tools for Applied Multivariate Analysis Paul E. Green, 2014-05-10 Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. This book discusses the mathematical foundations of applied multivariate analysis. Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. This text then presents a standard treatment of the mechanics of matrix algebra, including definitions and operations on matrices, vectors, and determinants. Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. This book discusses as well the eigenstructures and quadratic forms. The final chapter deals with the geometric aspects of linear transformations. This book is a valuable resource for students. |
| chicago data science masters: Masters of Uncertainty Phaedra Daipha, 2015-11-17 In Masters of Uncertainty, Phaedra Daipha offers a new framework for understanding decision-making practice after spending years immersed in a northeastern office of the National Weather Service. Arguing that forecasters have made a virtue of the unpredictability of the weather, Daipha shows how they enlist an onmivorous appetite for information and improvisational collage techniques to create a locally meaningful forecast on their computer screens. This richly detailed and lucidly written book advances a theory of decision making that foregrounds the pragmatic and situated nature of expert cognition and casts new light on how we make decisions in the digital age--Page {4] of cover. |
| chicago data science masters: Data Science in Practice Alan Said, Vicenç Torra, 2018-09-19 This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage. |
| chicago data science masters: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| chicago data science masters: The University of Chicago Magazine , 1917 |
| chicago data science masters: Masters of Theory Andrew Warwick, 2011-04-15 Winner of the the Susan Elizabeth Abrams Prize in History of Science. When Isaac Newton published the Principia three centuries ago, only a few scholars were capable of understanding his conceptually demanding work. Yet this esoteric knowledge quickly became accessible in the nineteenth and early twentieth centuries when Britain produced many leading mathematical physicists. In this book, Andrew Warwick shows how the education of these masters of theory led them to transform our understanding of everything from the flight of a boomerang to the structure of the universe. Warwick focuses on Cambridge University, where many of the best physicists trained. He begins by tracing the dramatic changes in undergraduate education there since the eighteenth century, especially the gradual emergence of the private tutor as the most important teacher of mathematics. Next he explores the material culture of mathematics instruction, showing how the humble pen and paper so crucial to this study transformed everything from classroom teaching to final examinations. Balancing their intense intellectual work with strenuous physical exercise, the students themselves—known as the Wranglers—helped foster the competitive spirit that drove them in the classroom and informed the Victorian ideal of a manly student. Finally, by investigating several historical cases, such as the reception of Albert Einstein's special and general theories of relativity, Warwick shows how the production, transmission, and reception of new knowledge was profoundly shaped by the skills taught to Cambridge undergraduates. Drawing on a wealth of new archival evidence and illustrations, Masters of Theory examines the origins of a cultural tradition within which the complex world of theoretical physics was made commonplace. |
| chicago data science masters: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| chicago data science masters: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications. |
| chicago data science masters: Statistical Analysis of Financial Data in S-Plus René Carmona, 2006-04-18 This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and to practitioners with financial data analysis concerns. |
| chicago data science masters: Personalized Law Omri Ben-Shahar, Ariel Porat, 2021-05-17 We live in a world of one-size-fits-all law. People are different, but the laws that govern them are uniform. Personalized Law---rules that vary person by person---will change that. Here is a vision of a brave new world, where each person is bound by their own personally-tailored law. Reasonable person standards would be replaced by a multitude of personalized commands, each individual with their own reasonable you rule. Skilled doctors would be held to higher standards of care, the most vulnerable consumers and employees would receive stronger protections, age restrictions for driving or for the consumption of alcohol would vary according the recklessness risk that each person poses, and borrowers would be entitled to personalized loan disclosures tailored to their unique needs and delivered in a format fitting their mental capacity. The data and algorithms to administer personalize law are at our doorstep, and embryos of this regime are sprouting. Should we welcome this transformation of the law? Does personalized law harbor a utopic promise, or would it produce alienation, demoralization, and discrimination? This book is the first to explore personalized law, offering a vision of law and robotics that delegates to machines those tasks humans are least able to perform well. It inquires how personalized law can be designed to deliver precision and justice and what pitfalls the regime would have to prudently avoid. In this book, Omri Ben-Shahar and Ariel Porat not only present this concept in a clear, easily accessible way, but they offer specific examples of how personalized law may be implemented across a variety of real-life applications. |
| chicago data science masters: GMAT Official Guide Verbal Review 2022 GMAC (Graduate Management Admission Council), 2021-06-16 Add over 340 verbal practice questions to your prep. Designed by the makers of the GMAT™ exam. Your official source of real GMAT questions from past exams. Set yourself up for success with extra practice on the verbal section of the GMAT exam. Study with over 340 practice questions not included in GMAT™ Official Guide 2022: Book & Online Question Bank! Review answer explanations to help improve your performance. GMAT practice questions are organized by difficulty level: easy, medium and hard. Start at the beginning and work your way up to the hard questions as you build upon your knowledge. All practice questions are from past GMAT exams. The GMAT™ Official Guide Verbal Review 2022: Book + Online Question Bank provides 3 ways to study: Book: Know what to expect on the GMAT exam Learn the exam structure with an introductory review chapter followed by 25 practice questions. Review common formulas and concepts using quick reference sheets. Master reading comprehension and critical reasoning with over 340 practice questions from past GMAT exams, organized by difficulty level. GMAT Online Prep Tools: Focus your studying – Bonus: included with purchase! Practice online with the same questions from the book. Create custom practice sets by difficulty level and by fundamental skill. Track your progress using performance metrics. Prepare for exam day by timing your practice in exam mode. Test your knowledge of key concepts with flashcards. Prepare with the Online Question Bank, which includes online-exclusive questions filterable by difficulty level, question type, fundamental skills, and more. Study anytime, anywhere with the Mobile App: review and reattempt practice sets to improve performance in study or exam mode. Mobile App: Your GMAT prep on the go Study offline after downloading the question sets. Sync between devices. Start on your phone, finish on your computer. Add GMAT™ Official Guide Verbal Review 2022: Book + Online Question Bank to your GMAT prep; the official source of practice questions from past GMAT exams. This product includes a print book with a unique access code to the Online Question Bank and Mobile App. |
| chicago data science masters: Lower Ed Tressie McMillan Cottom, 2017-02-28 More than two million students are enrolled in for-profit colleges, from the small family-run operations to the behemoths brandished on billboards, subway ads, and late-night commercials. These schools have been around just as long as their bucolic not-for-profit counterparts, yet shockingly little is known about why they have expanded so rapidly in recent years—during the so-called Wall Street era of for-profit colleges. In Lower Ed Tressie McMillan Cottom—a bold and rising public scholar, herself once a recruiter at two for-profit colleges—expertly parses the fraught dynamics of this big-money industry to show precisely how it is part and parcel of the growing inequality plaguing the country today. McMillan Cottom discloses the shrewd recruitment and marketing strategies that these schools deploy and explains how, despite the well-documented predatory practices of some and the campus closings of others, ending for-profit colleges won't end the vulnerabilities that made them the fastest growing sector of higher education at the turn of the twenty-first century. And she doesn't stop there. With sharp insight and deliberate acumen, McMillan Cottom delivers a comprehensive view of postsecondary for-profit education by illuminating the experiences of the everyday people behind the shareholder earnings, congressional battles, and student debt disasters. The relatable human stories in Lower Ed—from mothers struggling to pay for beauty school to working class guys seeking good jobs to accomplished professionals pursuing doctoral degrees—illustrate that the growth of for-profit colleges is inextricably linked to larger questions of race, gender, work, and the promise of opportunity in America. Drawing on more than one hundred interviews with students, employees, executives, and activists, Lower Ed tells the story of the benefits, pitfalls, and real costs of a for-profit education. It is a story about broken social contracts; about education transforming from a public interest to a private gain; and about all Americans and the challenges we face in our divided, unequal society. |
| chicago data science masters: Knowledge Management in Healthcare Lorri Zipperer, 2014-04-28 Knowledge management goes beyond data and information capture in computerized health records and ordering systems; it seeks to leverage the experiences of all who interact in healthcare to enhance care delivery, teamwork, and organizational learning. Knowledge management - if envisioned thoughtfully - takes a systemic approach to implementation that includes the embodiment of a learning culture. Knowledge is then used to support that culture and the knowledge workers within it to encourage them to share what they know, thusly enabling their peers, their organizations and ultimately their patients to benefit from their experience to proactively dismantle hierarchy and encourage sharing about what works, and what doesn’t to focus efforts on improvement. Knowledge Management in Healthcare draws on relevant business, clinical and health administration literature plus the analysis of discussions with a variety of clinical, administrative, leadership, patient and information experts. The result is a book that will inform thinking on knowledge access needs to mitigate potential failures, design lasting improvements and support the sharing of what is known to enable work towards attaining high reliability. It can be used as a general tool for leaders and individuals wishing to devise and implement a knowledge-sharing culture in their institution, design innovative activities supporting transparency and communication to strengthen existing programs intended to enhance knowledge sharing behaviours and contribute to high quality, safe care. |
| chicago data science masters: Fundamentals of Health Information Management Kelly Abrams, Candace J Gibson, 2013-05 |
| chicago data science masters: 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. |
| chicago data science masters: Developing Analytic Talent Vincent Granville, 2014-03-24 Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates. |
| chicago data science masters: 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. |
| chicago data science masters: Houston, We Have a Narrative Randy Olson, 2015-09-15 Communicate more effectively about science—by taking a page from Hollywood and improving your storytelling skills. Ask a scientist about Hollywood, and you’ll probably get eye rolls. But ask someone in Hollywood about science, and they’ll see dollar signs: Moviemakers know that science can be the source of great stories, with all the drama and action that blockbusters require. That’s a huge mistake, says Randy Olson: Hollywood has a lot to teach scientists about how to tell a story—and, ultimately, how to do science better. With Houston, We Have a Narrative, he lays out a stunningly simple method for turning the dull into the dramatic. Drawing on his unique background, which saw him leave his job as a working scientist to launch a career as a filmmaker, Olson first diagnoses the problem: When scientists tell us about their work, they pile one moment and one detail atop another moment and another detail—a stultifying procession of “and, and, and.” What we need instead is an understanding of the basic elements of story, the narrative structures that our brains are all but hardwired to look for—which Olson boils down, brilliantly, to “And, But, Therefore,” or ABT. At a stroke, the ABT approach introduces momentum (“And”), conflict (“But”), and resolution (“Therefore”)—the fundamental building blocks of story. As Olson has shown by leading countless workshops worldwide, when scientists’ eyes are opened to ABT, the effect is staggering: suddenly, they’re not just talking about their work—they’re telling stories about it. And audiences are captivated. Written with an uncommon verve and enthusiasm, and built on principles that are applicable to fields far beyond science, Houston, We Have a Narrative has the power to transform the way science is understood and appreciated, and ultimately how it’s done. |
| chicago data science masters: Executive Data Science Roger Peng, 2016-08-03 In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects. |
| chicago data science masters: 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. |
| chicago data science masters: Museums and Digital Culture Tula Giannini, Jonathan P. Bowen, 2019-05-06 This book explores how digital culture is transforming museums in the 21st century. Offering a corpus of new evidence for readers to explore, the authors trace the digital evolution of the museum and that of their audiences, now fully immersed in digital life, from the Internet to home and work. In a world where life in code and digits has redefined human information behavior and dominates daily activity and communication, ubiquitous use of digital tools and technology is radically changing the social contexts and purposes of museum exhibitions and collections, the work of museum professionals and the expectations of visitors, real and virtual. Moving beyond their walls, with local and global communities, museums are evolving into highly dynamic, socially aware and relevant institutions as their connections to the global digital ecosystem are strengthened. As they adopt a visitor-centered model and design visitor experiences, their priorities shift to engage audiences, convey digital collections, and tell stories through exhibitions. This is all part of crafting a dynamic and innovative museum identity of the future, made whole by seamless integration with digital culture, digital thinking, aesthetics, seeing and hearing, where visitors are welcomed participants. The international and interdisciplinary chapter contributors include digital artists, academics, and museum professionals. In themed parts the chapters present varied evidence-based research and case studies on museum theory, philosophy, collections, exhibitions, libraries, digital art and digital future, to bring new insights and perspectives, designed to inspire readers. Enjoy the journey! |
| chicago data science masters: 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 |
| chicago data science masters: Data Science Applied to Sustainability Analysis Jennifer Dunn, Prasanna Balaprakash, 2021-05-11 Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses |
| chicago data science masters: 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. |
| chicago data science masters: Global Urbanization Eugenie L. Birch, Susan M. Wachter, 2011-02-25 For the first time in history, the majority of the world's population lives in urban areas. Much of this urbanization has been fueled by the rapidly growing cities of the developing world, exemplified most dramatically by booming megacities such as Lagos, Karachi, and Mumbai. In the coming years, as both the number and scale of cities continue to increase, the most important matters of social policy and economic development will necessarily be urban issues. Urbanization, across the world but especially in Asia and Africa, is perhaps the critical issue of the twenty-first century. Global Urbanization surveys essential dimensions of this growth and begins to formulate a global urban agenda for the next half century. Drawing from many disciplines, the contributors tackle issues ranging from how cities can keep up with fast-growing housing needs to the possibilities for public-private partnerships in urban governance. Several essays address the role that cutting-edge technologies such as GIS software, remote sensing, and predictive growth models can play in tracking and forecasting urban growth. Reflecting the central importance of the Global South to twenty-first-century urbanism, the volume includes case studies and examples from China, India, Uganda, Kenya, and Brazil. While the challenges posed by large-scale urbanization are immense, the future of human development requires that we find ways to promote socially inclusive growth, environmental sustainability, and resilient infrastructure. The timely and relevant scholarship assembled in Global Urbanization will be of great interest to scholars and policymakers in demography, geography, urban studies, and international development. |
| chicago data science masters: 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 |
| chicago data science masters: My Mother's Daughter Perdita Felicien, 2022-03-29 NATIONAL BESTSELLER A phenomenal, human story. . . . I could not put this book down. —CLARA HUGHES An instant national bestseller, this raw and affecting memoir is the story of a mother and daughter who beat the odds together. Decades before Perdita Felicien became a World Champion hurdler running the biggest race of her life at the 2004 Olympics, she carried more than a nation's hopes—she carried her mother Catherine's dreams. In 1974, Catherine is determined and tenacious, but she's also pregnant with her second child and just scraping by in St. Lucia. When she meets a wealthy white Canadian family vacationing on the island, she knows it's her chance. They ask her to come to Canada to be their nanny—and she accepts. This was the beginning of Catherine's new life: a life of opportunity, but also suffering. Within a few years, she would find herself pregnant a third time—this time in her new country with no family to support her, and this time, with Perdita. Together, in the years to come, mother and daughter would experience racism, domestic abuse, and even homelessness, but Catherine's will would always pull them through. As Perdita grew and began to discover her preternatural athletic gifts, she was edged onward by her mother's love, grit, and faith. Facing literal and figurative hurdles, she learned to leap and pick herself back up when she stumbled. This book is a daughter's memoir—a book about the power of a parent's love to transform their child's life. |
| chicago data science masters: Formal Models of Domestic Politics Scott Gehlbach, 2021-09-30 An accessible treatment of important formal models of domestic politics, fully updated and now including a chapter on nondemocracy. |
| chicago data science masters: International Educational Development Program , 1969 |
| chicago data science masters: Civic Gifts Elisabeth S. Clemens, 2020-04-21 In Civic Gifts, Elisabeth S. Clemens takes a singular approach to probing the puzzle that is the United States. How, she asks, did a powerful state develop within an anti-statist political culture? How did a sense of shared nationhood develop despite the linguistic, religious, and ethnic differences among settlers and, eventually, citizens? Clemens reveals that an important piece of the answer to these questions can be found in the unexpected political uses of benevolence and philanthropy, practices of gift-giving and reciprocity that coexisted uneasily with the self-sufficient independence expected of liberal citizens Civic Gifts focuses on the power of gifts not only to mobilize communities throughout US history, but also to create new forms of solidarity among strangers. Clemens makes clear how, from the early Republic through the Second World War, reciprocity was an important tool for eliciting both the commitments and the capacities needed to face natural disasters, economic crises, and unprecedented national challenges. Encompassing a range of endeavors from the mobilized voluntarism of the Civil War, through Community Chests and the Red Cross to the FDR-driven rise of the March of Dimes, Clemens shows how voluntary efforts were repeatedly articulated with government projects. The legacy of these efforts is a state co-constituted with, as much as constrained by, civil society. |
| chicago data science masters: Database Systems: The Complete Book Hector Garcia-Molina, 2008 |
| chicago data science masters: Getting Started with Data Science Murtaza Haider, 2015-12-14 Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon. |
| chicago data science masters: ICT Policy, Research, and Innovation Svetlana Klessova, Sebastian Engell, Maarten Botterman, Jonathan Cave, 2020-11-02 A comprehensive discussion of the findings of the PICASSO initiative on ICT policy ICT Policy, Research, and Innovation: Perspectives and Prospects for EU-US Collaboration provides a clearly readable overview of selected information and communication technology (ICT) and policy topics. Rather than deluge the reader with technical details, the distinguished authors provide just enough technical background to make sense of the underlying policy discussions. The book covers policy, research, and innovation topics on technologies as wide-ranging as: Internet of Things Cyber physical systems 5G Big data ICT Policy, Research, and Innovation compares and contrasts the policy approaches taken by the EU and the US in a variety of areas. The potential for future cooperation is outlined as well. Later chapters provide policy perspectives about some major issues affecting EU/US development cooperation, while the book closes with a discussion of how the development of these new technologies is changing our conceptions of fundamental aspects of society. |
| chicago data science masters: Handbook of the Equity Risk Premium Rajnish Mehra, 2011-08-11 Edited by Rajnish Mehra, this volume focuses on the equity risk premium puzzle, a term coined by Mehra and Prescott in 1985 which encompasses a number of empirical regularities in the prices of capital assets that are at odds with the predictions of standard economic theory. |
| chicago data science masters: Urban Operating Systems Andres Luque-Ayala, Simon Marvin, 2020-12-15 A new wave of enthusiasm for smart cities, urban data, and the Internet of Things has created the impression that computation can solve almost any urban problem. Subjecting this claim to critical scrutiny, in this book, Andrés Luque-Ayala and Simon Marvin examine the cultural, historical, and contemporary contexts in which urban computational logics have emerged. They consider the rationalities and techniques that constitute emerging computational forms of urbanization, including work on digital urbanism, smart cities, and, more recently, platform urbanism. They explore the modest potentials and serious contradictions of reconfiguring urban life, city services, and urban-networked infrastructure through computational operating systems—an urban OS. Luque-Ayala and Marvin argue that in order to understand how digital technologies transform and shape the city, it is necessary to analyze the underlying computational logics themselves. Drawing on fieldwork that stretches across eleven cities in American, European, and Asian contexts, they investigate how digital products, services, and ecosystems are reshaping the ways in which the city is imagined, known, and governed. They discuss the reconstitution of the contemporary city through digital technologies, practices, and techniques, including data-driven governance, predictive analytics, digital mapping, urban sensing, digitally enabled control rooms, civic hacking, and open data narratives. Focusing on the relationship between the emerging operating systems of the city and their traditional infrastructures, they shed light on the political implications of using computer technologies to understand and generate new urban spaces and flows. |
| chicago data science masters: Parabolic Equations with Irregular Data and Related Issues Claude Le Bris, Pierre-Louis Lions, 2019-06-17 This book studies the existence and uniqueness of solutions to parabolic-type equations with irregular coefficients and/or initial conditions. It elaborates on the DiPerna-Lions theory of renormalized solutions to linear transport equations and related equations, and also examines the connection between the results on the partial differential equation and the well-posedness of the underlying stochastic/ordinary differential equation. |
| chicago data science masters: 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. |
| chicago data science masters: Data Analytics and Psychometrics Hong Jiao, Robert W. Lissitz, Anna Van Wie, 2018-12-01 The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large-scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices. |
Chicago if it were across the river from Manhattan
Jan 1, 2025 · Post on the Reddit/interstingasf*ck posted by u/sabatoa. The 3rd and 4th images demonstrate how NYC dwarfs Chicago.
METRO Next - 2040 Vision - Page 32 - Houston Architecture
Jul 31, 2018 · Chicago built the Block 37 station long before Musk was remotely involved in the express train to O'Hare concept. (The station structure was built in 2006-2008 and then …
Regent Square: Mixed-Use On Allen Parkway At Dunlavy St.
Jan 24, 2007 · Houston and Chicago are cities that blossomed at different times. Cars were not anywhere near an every family item in 1920. And yet Chicago has close to 3M people in 1920. …
Why is Editor in Chicago? - HAIF on HAIF - HAIF The Houston Area ...
Feb 12, 2009 · Chicago is a great city, however like every city it has some major pitfalls.. As far as the job selection in Houston, its' industries could be more diverse. Go figure, I think this …
NYSE and TXSE to open in Dallas
Feb 13, 2025 · Reuters Link Quote "As the state with the largest number of NYSE listings, representing over $3.7 trillion in market value for our community, Texas is a market leader in …
Colt Stadium On Old Main Street Rd. - Historic Houston - HAIF …
Feb 3, 2025 · Both stadiums are shown with Old Main Street Road dividing the two. The inner circle is the circumference of the domed stadium structure and the outer circle is the parking …
Historic Houston Restaurants - Page 22 - Historic Houston - HAIF …
Sep 13, 2004 · The Chicago Pizza Company - 4100 Mandell. Chaucer's - 5020 Montrose. Cody's (really a jazz club) - 3400 Montrose. Mrs. Me's Cafe - Dunlavy at Indiana. La Bodega - 2402 …
The Whitmire Administration Discussion Thread - Page 2 - City …
Jun 25, 2024 · Population dynamics are a curious thing. The Census bureau reported Chicago experienced a rebound in growth, too. I noticed that it was around the same as the number of …
Daniella Guzman comes back home to NBC 2 KPRC-TV Houston, …
Apr 24, 2014 · Prior to NBC 5 Chicago, Guzman was a weekend anchor and general assignments reporter at KPRC-TV in Houston. There, she covered hurricanes Daily and Gustav and was …
British Petroleum Chems Goes To Chicago Not Houston
Oct 29, 2004 · I heard that BP made it decision about its a couple of its chemical divisions. Houston and Chicago were competing to be the new headquarters. Chicago won. I'll post …
Chicago if it were across the river from Manhattan
Jan 1, 2025 · Post on the Reddit/interstingasf*ck posted by u/sabatoa. The 3rd and 4th images …
METRO Next - 2040 Vision - Page 32 - Houston Architecture
Jul 31, 2018 · Chicago built the Block 37 station long before Musk was remotely involved in the express train to …
Regent Square: Mixed-Use On Allen Parkway At Dunlavy St.
Jan 24, 2007 · Houston and Chicago are cities that blossomed at different times. Cars were not anywhere near an …
Why is Editor in Chicago? - HAIF on HAIF - HAIF The Houston A…
Feb 12, 2009 · Chicago is a great city, however like every city it has some major pitfalls.. As far as the job …
NYSE and TXSE to open in Dallas
Feb 13, 2025 · Reuters Link Quote "As the state with the largest number of NYSE listings, representing over $3.7 …
