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| coursera apply for financial aid: Financial Services Revolution Alex Tapscott, 2020 |
| coursera apply for financial aid: Learning How to Learn Barbara Oakley, PhD, Terrence Sejnowski, PhD, Alistair McConville, 2018-08-07 A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course Learning How to Learn have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid rut think in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun. |
| coursera apply for financial aid: Machine Learning in Finance Matthew F. Dixon, Igor Halperin, Paul Bilokon, 2020-07-01 This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance. |
| coursera apply for financial aid: Good with Words Patrick Barry, 2019-05-31 If your success at work or in school depends on your ability to communicate persuasively in writing, you'll want to get Good with Words. Based on a course that law students at the University of Michigan and the University of Chicago have called outstanding, A-M-A-Z-I-N-G, and the best course I have ever taken, the book brings together a collection of concepts, exercises, and examples that have also helped improve the advocacy skills of people pursuing careers in many other fields--from marketing, to management, to medicine. There is nobody better than Patrick Barry when it comes to breaking down how to write and edit. His techniques don't just make you sound better. They make you think better. I'm jealous of the people who get to take his classes. --Professor Lisa Bernstein, University of Chicago Law School and Oxford University Center for Corporate Regulation Whenever I use Patrick Barry's materials in my class, the student reaction is the same: 'We want more of them.' --Professor Dave Babbe, UCLA School of Law Working one-on-one with Patrick Barry should be mandatory for all lawyers, regardless of seniority. This book is the next best thing. --Purvi Patel, Partner at Morrison Foerster LLP I am proud to say that, when it comes to writing, I speak Patrick Barry. What I mean is that I use, pretty much every day, the writing vocabulary and techniques he offers in this great book. So read it. Share it. And then, if you can, teach it. There are a lot of good causes in the world that could use a new generation of great advocates. --Professor Bridgette Carr, Assistant Dean of Strategic Initiatives and Director of the Human Trafficking Clinic at the University of Michigan Law School Patrick Barry is my secret weapon. I use his techniques every time I write, and I also teach them to all my students. --Professor Shai Dothan, Copenhagen Faculty of Law I know the materials in this book were originally created for lawyers and law students. But I actually find them really helpful for doctors as well, given that a lot of what I do every day depends on effective communication. There is a tremendous upside to becoming 'Good with Words. --Dr. Ramzi Abboud, Washington University School of Medicine in St. Louis. |
| coursera apply for financial aid: Python for Everybody Charles R. Severance, 2016-04-09 Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled Python for Informatics: Exploring Information.There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course. |
| coursera apply for financial aid: Getting Started With Tech Misbaudeen Yusuff Adeshina, 2024-10-30 In Getting Started with Tech: My Journey from Novice to Tech Titan, Misbaudeen Yusuff Adeshina shares his inspiring story of rising from humble beginnings to becoming a leader in the global tech and remote work space. Whether you're just starting out or looking to pivot your career, this book is your guide to finding your way in the digital economy and achieving success—without needing a background in coding. Inside, you’ll discover: How Yusuff Adeshina overcame challenges and built a thriving digital career from scratch Practical steps for breaking into tech, no matter your starting point or experience level Essential strategies to grow in remote work, digital marketing, and tech entrepreneurship Insights on the mindset, skills, and resilience needed to succeed in the world of digital economy With a focus on real-world advice and actionable insights, Yusuff Adeshina not only recounts his personal journey but also shares the proven techniques he used to mentor thousands of aspiring professionals. His guidance has empowered others to break free from the limitations of traditional work, tap into the opportunities of the tech world, and create careers on their own terms. If you’re looking for the roadmap to tech success, this book will give you the tools and knowledge to get there. Your future in tech starts here. |
| coursera apply for financial aid: Bioinformatics Algorithms Phillip Compeau, Pavel Pevzner, 1986-06 Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as Are There Fragile Regions in the Human Genome? or Which DNA Patterns Play the Role of Molecular Clocks? and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides. |
| coursera apply for financial aid: The Johns Hopkins Guide to Psychological First Aid George S. Everly Jr., Jeffrey M. Lating, 2022-08-02 Psychological first aid (PFA) is designed to mitigate the effects of acute stress and trauma and assist those in crisis to cope effectively with adversity. The second edition of this essential guide describes the principles and practices underpinning the evidence-informed and evidence-based Johns Hopkins RAPID-PFA model in an easy-to-follow, prescriptive, and practical manner-- |
| coursera apply for financial aid: Introduction to Financial Accounting Andrew Thomas, Anne Marie Ward, 2012 The new seventh edition of 'Introduction to Financial Accounting' has been fully revised and updated to reflect the very latest developments in this dynamic field and offers contemporary and comprehensive coverage of Financial Accounting today. |
| coursera apply for financial aid: Bitcoin and Cryptocurrency Technologies Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, Steven Goldfeder, 2016-07-19 An authoritative introduction to the exciting new technologies of digital money Bitcoin and Cryptocurrency Technologies provides a comprehensive introduction to the revolutionary yet often misunderstood new technologies of digital currency. Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age. How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more. An essential introduction to the new technologies of digital currency Covers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much more Features an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slides Also suitable for use with the authors' Coursera online course Electronic solutions manual (available only to professors) |
| coursera apply for financial aid: The College Conversation Eric J. Furda, Jacques Steinberg, 2021-09-21 From an Ivy League dean and a college admissions expert, a guide to help parents support their children as they navigate their way to college The College Conversation is a comprehensive resource for mapping the path through the college application process that provides practical advice and reassurance to keep both anxious parents and confused children sane and grounded. Rather than adding to the existing canon of How to Get In college guides or rankings, Eric Furda and Jacques Steinberg provide a step-by-step approach to having the tough conversations on this topic with less stress and more success. The book is organized around key discussions and themes that trace the chronological arc of admissions and financial aid--beginning before the assembly of a list of potential colleges and continuing through the receipt of decisions--with a final section that includes advice on the first year of college. The topics include preliminary conversations about the search, and specifically how parents can think about their children's interests and what kind of college would best suit them; choosing a college (based on its curriculum, culture, and community); writing the most effective essays; assessing acceptances, including considerations of finances and aid; and making the transition from high school to college life. The College Conversation will provide parents, students, and counselors with the credible, level-headed information often missing in this process, as well as a much-needed dash of perspective borne of experience. |
| coursera apply for financial aid: Financial Market History: Reflections on the Past for Investors Today David Chambers, Elroy Dimson, Since the 2008 financial crisis, a resurgence of interest in economic and financial history has occurred among investment professionals. This book discusses some of the lessons drawn from the past that may help practitioners when thinking about their portfolios. The book’s editors, David Chambers and Elroy Dimson, are the academic leaders of the Newton Centre for Endowment Asset Management at the University of Cambridge in the United Kingdom. |
| coursera apply for financial aid: Disciplined Entrepreneurship Bill Aulet, 2013-08-12 24 Steps to Success! Disciplined Entrepreneurship will change the way you think about starting a company. Many believe that entrepreneurship cannot be taught, but great entrepreneurs aren’t born with something special – they simply make great products. This book will show you how to create a successful startup through developing an innovative product. It breaks down the necessary processes into an integrated, comprehensive, and proven 24-step framework that any industrious person can learn and apply. You will learn: Why the “F” word – focus – is crucial to a startup’s success Common obstacles that entrepreneurs face – and how to overcome them How to use innovation to stand out in the crowd – it’s not just about technology Whether you’re a first-time or repeat entrepreneur, Disciplined Entrepreneurship gives you the tools you need to improve your odds of making a product people want. Author Bill Aulet is the managing director of the Martin Trust Center for MIT Entrepreneurship as well as a senior lecturer at the MIT Sloan School of Management. For more please visit http://disciplinedentrepreneurship.com/ |
| coursera apply for financial aid: A Human's Guide to Machine Intelligence Kartik Hosanagar, 2020-03-10 A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence. |
| coursera apply for financial aid: The Great Upheaval Arthur Levine, Scott J. Van Pelt, 2021-09-14 How will America's colleges and universities adapt to remarkable technological, economic, and demographic change? The United States is in the midst of a profound transformation the likes of which hasn't been seen since the Industrial Revolution, when America's classical colleges adapted to meet the needs of an emerging industrial economy. Today, as the world shifts to an increasingly interconnected knowledge economy, the intersecting forces of technological innovation, globalization, and demographic change create vast new challenges, opportunities, and uncertainties. In this great upheaval, the nation's most enduring social institutions are at a crossroads. In The Great Upheaval, Arthur Levine and Scott Van Pelt examine higher and postsecondary education to see how it has changed to become what it is today—and how it might be refitted for an uncertain future. Taking a unique historical, cross-industry perspective, Levine and Van Pelt perform a 360-degree survey of American higher education. Combining historical, trend, and comparative analyses of other business sectors, they ask • how much will colleges and universities change, what will change, and how will these changes occur? • will institutions of higher learning be able to adapt to the challenges they face, or will they be disrupted by them? • will the industrial model of higher education be repaired or replaced? • why is higher education more important than ever? The book is neither an attempt to advocate for a particular future direction nor a warning about that future. Rather, it looks objectively at the contexts in which higher education has operated—and will continue to operate. It also seeks to identify likely developments that will aid those involved in steering higher education forward, as well as the many millions of Americans who have a stake in its future. Concluding with a detailed agenda for action, The Great Upheaval is aimed at policy makers, college administrators, faculty, trustees, and students, as well as general readers and people who work for nonprofits facing the same big changes. |
| coursera apply for financial aid: America's Moment: Creating Opportunity in the Connected Age Rework America, 2015-06-15 It is time for a new conversation. Amid the biggest economic transformation in a century, the challenge of our time is to make sure that all Americans benefit from the wave of digital revolutions around the world that have permeated and upended modern life. Yet today's economic arguments seem stuck. We need a new vision of a hopeful future and a new action agenda. So many Americans are uncertain about the future. How can there be so many paths to opportunity with so few people traveling them? As a nation, we have to understand what is required to help Americans succeed now, and how to prepare our country for what comes next. We have been here before. A hundred years ago, America experienced the greatest economic transformation and technological revolution in its history. The transformation of the past twenty years—as the world has moved through the information era into the digital age—has turned our life and work upside down once again. It is a time of tremendous change but also of tremendous possibility. Rework America is a group of American leaders who know from experience the challenges we face—and the potential solutions. In America's Moment they suggest a practical agenda for an exciting future. It is illustrated by people who are already showing the way and includes actions Americans can take today in their own communities: preparing people to succeed, using the reach of the Internet and data to innovate jobs and to reach new markets all over the world, using technology to match employers and workers, and transitioning to a no-collar working world— neither blue collar nor white collar. Set against the history of how Americans succeeded once before in remaking their country, America's Moment is about the future. It describes how the same forces of change—technology and a networked world—can become tools that can open opportunity to everyone. |
| coursera apply for financial aid: Beyond Silicon Valley Michael Goldberg, 2018-04-21 In Beyond Silicon Valley: How One Online Course Helped Support Global Entrepreneurs, Professor Michael Goldberg takes readers on a global entrepreneurial adventure. He tells the stories of students who took his groundbreaking and hugely popular Beyond Silicon Valley massive open online course (MOOC), the most translated in Coursera history. To date, over 135,000 people have registered for Beyond Silicon Valley, and in this book, readers will meet nearly 20 students who started and grew their businesses, mentored other entrepreneurs, became innovation consultants, grew their entrepreneurial advocacy organizations, and more. These entrepreneurs live and work in transitioning economies throughout Europe, the Middle East, Asia, Africa, and the Americas. Goldberg also poignantly connects these startup struggles and successes to his hometown of Cleveland, Ohio, a region that is making a transition of its own. Join Goldberg as he inspires--and finds inspiration from--innovators and entrepreneurial supporters everywhere. |
| coursera apply for financial aid: The Undivided Past David Cannadine, 2013 From an acclaimed historian, an account of human solidarity throughout the ages, provocatively arguing against the received wisdom that history is best understood as a chronicle of groups in conflict by examining six categories of human difference. |
| coursera apply for financial aid: Why Does College Cost So Much? Robert B. Archibald, David Henry Feldman, 2011 College tuition has risen more rapidly than the overall inflation rate for much of the past century. To explain rising college cost, the authors place the higher education industry firmly within the larger economic history of the United States. |
| coursera apply for financial aid: Introduction to Mathematical Thinking Keith J. Devlin, 2012 Mathematical thinking is not the same as 'doing math'--unless you are a professional mathematician. For most people, 'doing math' means the application of procedures and symbolic manipulations. Mathematical thinking, in contrast, is what the name reflects, a way of thinking about things in the world that humans have developed over three thousand years. It does not have to be about mathematics at all, which means that many people can benefit from learning this powerful way of thinking, not just mathematicians and scientists.--Back cover. |
| coursera apply for financial aid: Massive Open Online Courses (MOOCs) For Everyone Pethuraja.S, 2015-05-02 The Book Massive Open Online Courses (MOOCs) For Everyone, is the most comprehensive educational web resource book that will explore the most famous innovative educational paradigm MOOC, online learning platforms and world’s prestigious higher education institutions which are offering open online courses at free of cost. The book will also cover the short history about the term, potential benefits of participation in an open online course, and how MOOCs have been transforming/revolutionizing/disseminating the ecosystem of education using advanced technologies and innovative pedagogical techniques. This book will be useful for learners who are looking for free, open, online courses to learn the new things or would like to improve their level of knowledge on a particular subject. There are vast number of open online courses available in various topics through online learning platforms which are mentioned in this book. By participating in the free open online courses offered by various universities and institutions, learners can become expert in their favorite subject and improve the career in an efficient way. This book was written to benefit the students and lifelong learners to learn anything using free open online educational courses. Unleashing the most useful free open online course Resources: The book will explore the details of 90 online learning platforms and more than 275 higher education institutions and organizations which are participating the movement of MOOCs to offer free open online courses. The book was written to represent in-depth education web resources with 9 Chapters and 155 pages. |
| coursera apply for financial aid: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-11-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| coursera apply for financial aid: Engineering Software as a Service Armando Fox, David A. Patterson, 2016 (NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details.(NOTE: this Beta Edition may contain errors. See http://saasbook.info for details.) A one-semester college course in software engineering focusing on cloud computing, software as a service (SaaS), and Agile development using Extreme Programming (XP). This book is neither a step-by-step tutorial nor a reference book. Instead, our goal is to bring a diverse set of software engineering topics together into a single narrative, help readers understand the most important ideas through concrete examples and a learn-by-doing approach, and teach readers enough about each topic to get them started in the field. Courseware for doing the work in the book is available as a virtual machine image that can be downloaded or deployed in the cloud. A free MOOC (massively open online course) at saas-class.org follows the book's content and adds programming assignments and quizzes. See http://saasbook.info for details. |
| coursera apply for financial aid: Introducing MLOps Mark Treveil, Nicolas Omont, Clément Stenac, Kenji Lefevre, Du Phan, Joachim Zentici, Adrien Lavoillotte, Makoto Miyazaki, Lynn Heidmann, 2020-11-30 More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized |
| coursera apply for financial aid: Making Embedded Systems Elecia White, 2011-10-25 Interested in developing embedded systems? Since they donâ??t tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements. Written by an expert whoâ??s created embedded systems ranging from urban surveillance and DNA scanners to childrenâ??s toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, motors, and other I/O devices Do more with less: reduce RAM consumption, code space, processor cycles, and power consumption Learn how to update embedded code directly in the processor Discover how to implement complex mathematics on small processors Understand what interviewers look for when you apply for an embedded systems job Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. Itâ??s very well writtenâ??entertaining, evenâ??and filled with clear illustrations. â??Jack Ganssle, author and embedded system expert. |
| coursera apply for financial aid: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| coursera apply for financial aid: A World after Liberalism Matthew Rose, 2021-08-03 A bracing account of liberalism’s most radical critics, introducing one of the most controversial movements of the twentieth century In this eye-opening book, Matthew Rose introduces us to one of the most controversial intellectual movements of the twentieth century, the “radical right,” and discusses its adherents’ different attempts to imagine political societies after the death or decline of liberalism. Questioning democracy’s most basic norms and practices, these critics rejected ideas about human equality, minority rights, religious toleration, and cultural pluralism not out of implicit biases, but out of explicit principle. They disagree profoundly on race, religion, economics, and political strategy, but they all agree that a postliberal political life will soon be possible. Focusing on the work of Oswald Spengler, Julius Evola, Francis Parker Yockey, Alain de Benoist, and Samuel Francis, Rose shows how such thinkers are animated by religious aspirations and anxieties that are ultimately in tension with Christian teachings and the secular values those teachings birthed in modernity. |
| coursera apply for financial aid: Academic Success in Online Programs Jacqueline S. Stephen, |
| coursera apply for financial aid: Financial Planning & Analysis and Performance Management Jack Alexander, 2018-06-13 Critical insights for savvy financial analysts Financial Planning & Analysis and Performance Management is the essential desk reference for CFOs, FP&A professionals, investment banking professionals, and equity research analysts. With thought-provoking discussion and refreshing perspective, this book provides insightful reference for critical areas that directly impact an organization’s effectiveness. From budgeting and forecasting, analysis, and performance management, to financial communication, metrics, and benchmarking, these insights delve into the cornerstones of business and value drivers. Dashboards, graphs, and other visual aids illustrate complex concepts and provide reference at a glance, while the author’s experience as a CFO, educator, and general manager leads to comprehensive and practical analytical techniques for real world application. Financial analysts are under constant pressure to perform at higher and higher levels within the realm of this consistently challenging function. Though areas ripe for improvement abound, true resources are scarce—until now. This book provides real-world guidance for analysts ready to: Assess performance of FP&A function and develop improvement program Improve planning and forecasting with new and provocative thinking Step up your game with leading edge analytical tools and practical solutions Plan, analyze and improve critical business and value drivers Build analytical capability and effective presentation of financial information Effectively evaluate capital investments in uncertain times The most effective analysts are those who are constantly striving for improvement, always seeking new solutions, and forever in pursuit of enlightening resources with real, useful information. Packed with examples, practical solutions, models, and novel approaches, Financial Planning & Analysis and Performance Management is an invaluable addition to the analyst’s professional library. Access to a website with many of the tools introduced are included with the purchase of the book. |
| coursera apply for financial aid: Principles and Practice of Clinical Research John I. Gallin, Frederick P Ognibene, 2011-04-28 The second edition of this innovative work again provides a unique perspective on the clinical discovery process by providing input from experts within the NIH on the principles and practice of clinical research. Molecular medicine, genomics, and proteomics have opened vast opportunities for translation of basic science observations to the bedside through clinical research. As an introductory reference it gives clinical investigators in all fields an awareness of the tools required to ensure research protocols are well designed and comply with the rigorous regulatory requirements necessary to maximize the safety of research subjects. Complete with sections on the history of clinical research and ethics, copious figures and charts, and sample documents it serves as an excellent companion text for any course on clinical research and as a must-have reference for seasoned researchers.*Incorporates new chapters on Managing Conflicts of Interest in Human Subjects Research, Clinical Research from the Patient's Perspective, The Clinical Researcher and the Media, Data Management in Clinical Research, Evaluation of a Protocol Budget, Clinical Research from the Industry Perspective, and Genetics in Clinical Research *Addresses the vast opportunities for translation of basic science observations to the bedside through clinical research*Delves into data management and addresses how to collect data and use it for discovery*Contains valuable, up-to-date information on how to obtain funding from the federal government |
| coursera apply for financial aid: Algorithms Robert Sedgewick, Kevin Wayne, 2014-02-01 This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the Online Course link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience. |
| coursera apply for financial aid: Fundamentals of Financial Accounting Fred Phillips, Robert Libby, Patricia A. Libby, 2011-01 |
| coursera apply for financial aid: Get Real and Get In Dr. Aviva Legatt, 2021-08-03 An insider's college admissions guide that teaches students to identify and harness their unique passions, stand out from the crowd, and achieve their dreams. Dr. Aviva Legatt has spent her career in higher education as a professor, counselor, and admissions officer in the Ivy League, and she wants to let students in on a secret: admissions offices are sick of seeing the same cookie-cutter applications. What were once considered best practices for “doing high school right” are now so commonplace that they have become a liability. Get Real and Get In teaches readers to think outside of the box and focus on what admissions officers are really looking for—young people who dare to be their most authentic selves. Through engaging, accessible, and empathetic prose, this book forms an inspirational roadmap for readers to uncover their true passions and leverage them to create applications that truly stand out from the crowd. It also features a variety of useful exercises and candid stories from many influential figures, which teach students to look beyond just getting into a “good” college and focus more actively on identifying and attaining their long term goals. Get Real and Get In is designed to ignite an essential mindset shift in students: stop trying to just “get in” and start figuring out exactly what you want from life and how to get it. Stop managing the impressions you make on admissions officers and start defying impressions. This is an essential guide to cutting through the noise of the admissions process and gaining the confidence to forge one’s own path to success—in college and beyond. |
| coursera apply for financial aid: Uncommon Sense Teaching Barbara Oakley, PhD, Beth Rogowsky EdD, Terrence J. Sejnowski, 2021-06-15 Top 10 Pick for Learning Ladders’ Best Books for Educators Summer 2021 A groundbreaking guide to improve teaching based on the latest research in neuroscience, from the bestselling author of A Mind for Numbers. Neuroscientists and cognitive scientists have made enormous strides in understanding the brain and how we learn, but little of that insight has filtered down to the way teachers teach. Uncommon Sense Teaching applies this research to the classroom for teachers, parents, and anyone interested in improving education. Topics include: • keeping students motivated and engaged, especially with online learning • helping students remember information long-term, so it isn't immediately forgotten after a test • how to teach inclusively in a diverse classroom where students have a wide range of abilities Drawing on research findings as well as the authors' combined decades of experience in the classroom, Uncommon Sense Teaching equips readers with the tools to enhance their teaching, whether they're seasoned professionals or parents trying to offer extra support for their children's education. |
| coursera apply for financial aid: Introduction to Deep Learning Using R Taweh Beysolow II, 2017-07-19 Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the fundamentals of data science through machine learning and deep learning. This step-by-step guide will help you understand the disciplines so that you can apply the methodology in a variety of contexts. All examples are taught in the R statistical language, allowing students and professionals to implement these techniques using open source tools. What You'll Learn Understand the intuition and mathematics that power deep learning models Utilize various algorithms using the R programming language and its packages Use best practices for experimental design and variable selection Practice the methodology to approach and effectively solve problems as a data scientist Evaluate the effectiveness of algorithmic solutions and enhance their predictive power Who This Book Is For Students, researchers, and data scientists who are familiar with programming using R. This book also is also of use for those who wish to learn how to appropriately deploy these algorithms in applications where they would be most useful. |
| coursera apply for financial aid: First-generation Students Anne-Marie Nuñez, 1998 |
| coursera apply for financial aid: Principles of Management David S. Bright, Anastasia H. Cortes, Eva Hartmann, 2023-05-16 Black & white print. Principles of Management is designed to meet the scope and sequence requirements of the introductory course on management. This is a traditional approach to management using the leading, planning, organizing, and controlling approach. Management is a broad business discipline, and the Principles of Management course covers many management areas such as human resource management and strategic management, as well as behavioral areas such as motivation. No one individual can be an expert in all areas of management, so an additional benefit of this text is that specialists in a variety of areas have authored individual chapters. |
| coursera apply for financial aid: Crush It on LinkedIn Visthruth G, Ishan Sharma, 2020-07-11 LinkedIn is one of the fastest growing social media and it is THE place for professionals and people looking to advance in their career. Crush It on LinkedIn is your guide on how to use LinkedIn effectively to build your brand, get a job, or expand your business.Here's what you'll learn from this book: How to make a stunning LinkedIn Profile that gets viewed by people on the platformHow to grow your LinkedIn profile and get noticed by people in your niche.How to create content on LinkedIn that helps you build your brand.How to talk to people effectively using the private messagingMistakes you are doing on LinkedIn that is affecting your profileAn overview of LinkedIn Advertising, Lead generation and which Businesses should use itRecent additions in 2020 and the future of this platformSuccess Stories of People who used LinkedIn to build a brand.and a lot more in this short and concise book.You'll learn these topics with multiple examples.This is a MUST have book for students in college who want to get their first internship or job. The book explains everything from the ground up.The author, Ishan Sharma is a 19 year old student at BITS Goa. He has his own YouTube Channel and a podcast with over 130k views and he helps create content for startups on social media platforms like Instagram and LinkedIn.With this book, Ishan aims to share his experiences of using LinkedIn to get new opportunities and from his talks with people who've been using LinkedIn from the last 5-7 years |
| coursera apply for financial aid: Will College Pay Off? Peter Cappelli, 2015-06-09 The decision of whether to go to college, or where, is hampered by poor information and inadequate understanding of the financial risk involved. Adding to the confusion, the same degree can cost dramatically different amounts for different people. A barrage of advertising offers new degrees designed to lead to specific jobs, but we see no information on whether graduates ever get those jobs. Mix in a frenzied applications process, and pressure from politicians for relevant programs, and there is an urgent need to separate myth from reality. Peter Cappelli, an acclaimed expert in employment trends, the workforce, and education, provides hard evidence that counters conventional wisdom and helps us make cost-effective choices. Among the issues Cappelli analyzes are: What is the real link between a college degree and a job that enables you to pay off the cost of college, especially in a market that is in constant change? Why it may be a mistake to pursue degrees that will land you the hottest jobs because what is hot today is unlikely to be so by the time you graduate. Why the most expensive colleges may actually be the cheapest because of their ability to graduate students on time. How parents and students can find out what different colleges actually deliver to students and whether it is something that employers really want. College is the biggest expense for many families, larger even than the cost of the family home, and one that can bankrupt students and their parents if it works out poorly. Peter Cappelli offers vital insight for parents and students to make decisions that both make sense financially and provide the foundation that will help students make their way in the world. |
| coursera apply for financial aid: Deep Learning for Search Tommaso Teofili, 2019-06-02 Summary Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on! Foreword by Chris Mattmann. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL techniques without a deep background in data science or natural language processing (NLP). This book will show you how. About the Book Deep Learning for Search teaches you to improve your search results with neural networks. You'll review how DL relates to search basics like indexing and ranking. Then, you'll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you'll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn! What's inside Accurate and relevant rankings Searching across languages Content-based image search Search with recommendations About the Reader For developers comfortable with Java or a similar language and search basics. No experience with deep learning or NLP needed. About the Author Tommaso Teofili is a software engineer with a passion for open source and machine learning. As a member of the Apache Software Foundation, he contributes to a number of open source projects, ranging from topics like information retrieval (such as Lucene and Solr) to natural language processing and machine translation (including OpenNLP, Joshua, and UIMA). He currently works at Adobe, developing search and indexing infrastructure components, and researching the areas of natural language processing, information retrieval, and deep learning. He has presented search and machine learning talks at conferences including BerlinBuzzwords, International Conference on Computational Science, ApacheCon, EclipseCon, and others. You can find him on Twitter at @tteofili. Table of Contents PART 1 - SEARCH MEETS DEEP LEARNING Neural search Generating synonyms PART 2 - THROWING NEURAL NETS AT A SEARCH ENGINE From plain retrieval to text generation More-sensitive query suggestions Ranking search results with word embeddings Document embeddings for rankings and recommendations PART 3 - ONE STEP BEYOND Searching across languages Content-based image search A peek at performance |
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