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| common app recommender guide: Write Out Loud: Use the Story To College Method, Write Great Application Essays, and Get into Your Top Choice College Carol Barash, 2013-09-06 Tell your story and connect with the college of your dreams for admission and financial aid If everyone wrote essays like this, admissions officers would have to take every student's essay seriously. --Steve LeMenager, founder of Edvice Princeton and former director of admission at Princeton University With patience, contagious confidence, and plenty of real-life examples, Carol illuminates a process that can help anyone discover and articulate those stories that will help them stand out in their own way, and in their own words. --Shelley Krause, college counselor, Rutgers Preparatory School, and curator of the College Lists Wiki Because the college essay offers applicants their lone opportunity to demonstrate what truly matters to them, and to share the qualities that make them unique, the stakes could not be any higher. With meticulous detail, Barash delivers a foolproof plan for helping college applicants strike essay gold. --Chad Troutwine, cofounder and CEO of Veritas Prep To write out loud is to write and speak in a way that makes people pay attention. Write Out Loud teaches the Story To College program--with its proven storytelling-based approach, the Moments Method. This program has helped more than 8,000 students from high schools in the United States and around the world create effective, authentic application essays to win admission and financial aid at their top college choices. Write Out Loud enables anyone to masterfully integrate past experiences and future ambitions into successful application essays and interviews. The guided exercises help college essay writers get past the stress and confusion of writing about themselves. Write Out Loud reveals how to find unique topics for compelling essays, shows how to make the transition from a spoken story to a written essay, and provides examples of successful essays. The book also walks students through the Common Application, the online college application form used by more than 500 colleges and universities in the US and abroad. Inside, students will find: The 12 tools of the Moments Method Specific guidance for completing the Common Application Charts and checklists to organize essays and supplements Insight from admissions officers on what characterizes a successful college application essay With Write Out Loud, students build confidence to show their best selves in writing and to gain admission into the college or university they desire. |
| common app recommender guide: Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira, 2015-11-17 This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems. |
| common app recommender guide: The Synonym Finder J. I. Rodale, 2016-04-22 Originally published in 1961 by the founder of Rodale Inc., The Synonym Finder continues to be a practical reference tool for every home and office. This thesaurus contains more than 1 million synonyms, arranged alphabetically, with separate subdivisions for the different parts of speech and meanings of the same word. |
| common app recommender guide: The Professor Is In Karen Kelsky, 2015-08-04 The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more. |
| common app recommender guide: Insider's Guide To Ivy League Admissions , |
| common app recommender guide: The International Family Guide to US University Admissions Jennifer Ann Aquino, 2017-07-05 strong style=margin: 0px; padding: 0px;Winner of the 2018 International Book Awards Education/Academic category! Written by an experienced international educator and counselor, The International Family Guide to US University Admissions is an indispensable resource for the vast and increasing number of students applying for places at US Universities each year. Beginning with an introduction that explains to both students and parents how the book works and why, it offers milestones that must be completed during said application time period, a tried-and-true handbook that corresponds with each chapter, pop-outs that provide expert insight and resources that you should utilize throughout the process. Every year, hundreds of thousands of international students and their families must go through the painstaking, complicated, confusing and culturally baffling process that is US university admissions. Until now, there has been no single resource for readers to turn to for holistic, accurate and up-to-date advice on the subject. Following the timeline of the US university admissions cycle, the book guides the parents and the student through the entire process in order to ensure that they are pacing themselves appropriately – from preparation to submission and through to applying for student visas. It serves as an advisor throughout the process, providing insightful advice by parents and students that are relevant to specific milestones. With the help of this book, you'll discover how to make sense of the US admissions system – from start to finish. Understand the application and evaluation process in depth in order to be an informed and successful applicant Make your schooling selection from over 3,000 US universities by understanding what would make a good fit for the student Learn what is expected of you in writing essays, why it is important, and how to create beautiful, genuine writing pieces reflective of your outlook in life Enjoy case studies and words of advice from the author's former students and their families Understand the difference between the SAT and ACT exams Whether you're an international student living outside of the US or an ex-pat living abroad, you'll find answers to all of your questions – all in one place. |
| common app recommender guide: Microsoft Azure Essentials Azure Machine Learning Jeff Barnes, 2015-04-25 Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series. |
| common app recommender guide: College Essay Essentials Ethan Sawyer, 2016-07-01 Let the College Essay Guy take the stress out of writing your college admission essay. Packed with brainstorming activities, college personal statement samples and more, this book provides a clear, stress-free roadmap to writing your best admission essay. Writing a college admission essay doesn't have to be stressful. College counselor Ethan Sawyer (aka The College Essay Guy) will show you that there are only four (really, four!) types of college admission essays. And all you have to do to figure out which type is best for you is answer two simple questions: 1. Have you experienced significant challenges in your life? 2. Do you know what you want to be or do in the future? With these questions providing the building blocks for your essay, Sawyer guides you through the rest of the process, from choosing a structure to revising your essay, and answers the big questions that have probably been keeping you up at night: How do I brag in a way that doesn't sound like bragging? and How do I make my essay, like, deep? College Essay Essentials will help you with: The best brainstorming exercises Choosing an essay structure The all-important editing and revisions Exercises and tools to help you get started or get unstuck College admission essay examples Packed with tips, tricks, exercises, and sample essays from real students who got into their dream schools, College Essay Essentials is the only college essay guide to make this complicated process logical, simple, and (dare we say it?) a little bit fun. The perfect companion to The Fiske Guide To Colleges 2020/2021. For high school counselors and college admission coaches, this is an essential book to help walk your students through writing a stellar, authentic college essay. |
| common app recommender guide: Deep Work Cal Newport, 2016-01-05 One of the most valuable skills in our economy is becoming increasingly rare. If you master this skill, you'll achieve extraordinary results. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world. 'Cal Newport is exceptional in the realm of self-help authors' New York Times 'Deep work' is the ability to focus without distraction on a cognitively demanding task. Coined by author and professor Cal Newport on his popular blog Study Hacks, deep work will make you better at what you do, let you achieve more in less time and provide the sense of true fulfilment that comes from the mastery of a skill. In short, deep work is like a superpower in our increasingly competitive economy. And yet most people, whether knowledge workers in noisy open-plan offices or creatives struggling to sharpen their vision, have lost the ability to go deep - spending their days instead in a frantic blur of email and social media, not even realising there's a better way. A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories -- from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air -- and surprising suggestions, such as the claim that most serious professionals should quit social media and that you should practice being bored. Put simply: developing and cultivating a deep work practice is one of the best decisions you can make in an increasingly distracted world. This book will point the way. |
| common app recommender guide: The Cambridge Companion to Music in Digital Culture Nicholas Cook, Monique M. Ingalls, David Trippett, 2019-09-19 Digital technology has profoundly transformed almost all aspects of musical culture. This book explains how and why. |
| common app recommender guide: Julia 1.0 Programming Complete Reference Guide Ivo Balbaert, Adrian Salceanu, 2019-05-20 Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web Key FeaturesLeverage Julia's high speed and efficiency to build fast, efficient applicationsPerform supervised and unsupervised machine learning and time series analysisTackle problems concurrently and in a distributed environmentBook Description Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI). You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs. Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system. By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications. This Learning Path includes content from the following Packt products: Julia 1.0 Programming - Second Edition by Ivo BalbaertJulia Programming Projects by Adrian SalceanuWhat you will learnCreate your own types to extend the built-in type systemVisualize your data in Julia with plotting packagesExplore the use of built-in macros for testing and debuggingIntegrate Julia with other languages such as C, Python, and MATLABAnalyze and manipulate datasets using Julia and DataFramesDevelop and run a web app using Julia and the HTTP packageBuild a recommendation system using supervised machine learningWho this book is for If you are a statistician or data scientist who wants a quick course in the Julia programming language while building big data applications, this Learning Path is for you. Basic knowledge of mathematics and programming is a must. |
| common app recommender guide: Recommender Systems Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich, 2010-09-30 In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems. |
| common app recommender guide: Artificial Intelligence in Medical Imaging Erik R. Ranschaert, Sergey Morozov, Paul R. Algra, 2019-01-29 This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals. |
| common app recommender guide: Forms Supplement , 1984 |
| common app recommender guide: A General Introduction to Data Analytics João Moreira, Andre Carvalho, Tomás Horvath, 2018-07-18 A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms. |
| common app recommender guide: More Than Just BS Jayson Marwaha, 2012-10-04 Applying to combined BS/MD programs really, really stinks - unless you're guided by the right person. That's what Jayson - a student who got into some of the nation's top BS/MD programs at Brown, Caltech, and Penn State through countless nights of energy drinks - realized when he was in high school. This book fixes that. More Than Just BS is Jayson's unique, tested, foolproof plan to acing the apps for these crazily competitive medical programs. It's a resume-building preparation plan, a step-by-step guide to the application process, plus a safe haven for students: it's got checklists, summaries, clever shortcuts, sneaky tips, and tons of cheeky remarks. |
| common app recommender guide: Collaborative Filtering Recommender Systems Michael D. Ekstrand, John T. Riedl, Joseph A. Konstan, 2011 Collaborative Filtering Recommender Systems discusses a wide variety of the recommender choices available and their implications, providing both practitioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues. |
| common app recommender guide: The Phoenix Project Gene Kim, Kevin Behr, George Spafford, 2018-02-06 ***Over a half-million sold! And available now, the Wall Street Journal Bestselling sequel The Unicorn Project*** “Every person involved in a failed IT project should be forced to read this book.”—TIM O'REILLY, Founder & CEO of O'Reilly Media “The Phoenix Project is a must read for business and IT executives who are struggling with the growing complexity of IT.”—JIM WHITEHURST, President and CEO, Red Hat, Inc. Five years after this sleeper hit took on the world of IT and flipped it on it's head, the 5th Anniversary Edition of The Phoenix Project continues to guide IT in the DevOps revolution. In this newly updated and expanded edition of the bestselling The Phoenix Project, co-author Gene Kim includes a new afterword and a deeper delve into the Three Ways as described in The DevOps Handbook. Bill, an IT manager at Parts Unlimited, has been tasked with taking on a project critical to the future of the business, code named Phoenix Project. But the project is massively over budget and behind schedule. The CEO demands Bill must fix the mess in ninety days or else Bill's entire department will be outsourced. With the help of a prospective board member and his mysterious philosophy of The Three Ways, Bill starts to see that IT work has more in common with a manufacturing plant work than he ever imagined. With the clock ticking, Bill must organize work flow streamline interdepartmental communications, and effectively serve the other business functions at Parts Unlimited. In a fast-paced and entertaining style, three luminaries of the DevOps movement deliver a story that anyone who works in IT will recognize. Readers will not only learn how to improve their own IT organizations, they'll never view IT the same way again. “This book is a gripping read that captures brilliantly the dilemmas that face companies which depend on IT, and offers real-world solutions.”—JEZ HUMBLE, Co-author of Continuous Delivery, Lean Enterprise, Accelerate, and The DevOps Handbook |
| common app recommender guide: Functional Neurologic Disorders , 2016-10-06 Functional Neurologic Disorders, the latest volume in the Handbook of Clinical Neurology series, summarizes state-of-the-art research findings and clinical practice on this class of disorders at the interface between neurology and psychiatry. This 51-chapter volume offers an historical introduction, chapters on epidemiology and pathophysiolology, a large section on the clinical features of different type of functional neurologic symptoms and disorders (including functional movement disorders, non-epileptic seizures, dizziness, vision, hearing, speech and cognitive symptoms), and then concluding with approaches to therapy. This group of internationally acclaimed experts in neurology, psychiatry, and neuroscience represent a broad spectrum of areas of expertise, chosen for their ability to write clearly and concisely with an eye toward a clinical audience. This HCN volume sets a new landmark standard for a comprehensive, multi-authored work dealing with functional neurologic disorders (also described as psychogenic, dissociative or conversion disorders). - Offers a comprehensive interdisciplinary approach for the care of patients with functional disorders seen in neurologic practice, leading to more efficient prevention, management, and treatment - Provides a synthesis of research efforts incorporating clinical, brain imaging and neurophysiological studies - Fills an existing gap between traditional neurology and traditional psychiatry - Contents include coverage of history, epidemiology, clinical presentations, and therapy - Edited work with chapters authored by leaders in the field, the broadest, most expert coverage available |
| common app recommender guide: Kicking Apps and Making Names Joshua Platt, Jacob Chiofalo, 2018-05-02 In this workbook, Platt and Chiofalo demystify the college application process and present students and families with a step by step program for successfully navigating their high school experience. Submitting a compelling application to the college of your dreams doesn't happen overnight. It takes planning and organization and this book is the perfect guide for that process. Whether you are starting this process as a freshman or jumping into your applications senior year, this book is the resource that you need. Chapters will take you from yearly expectations through the entirety of the college selection and application process and even through making effective use of the summer after high school graduation. With a balanced mix of pertinent advice, helpful tips and functional graphic organizers this guide will help students gain confidence, develop a sense of personal responsibility and ultimately discover who they are through the process. Using this book will help students to Kick Apps and Make a Name for themselves along the way. Many books written about college admission focus on the application itself. While there is an entire section of this book dedicated to that aspect of the process, there is also a large portion dedicated to setting yourself up for success through all four years of high school. In addition, the workbook style format allows students to use the embedded tables to actually plan their strategy. Even the section on essay writing and accompanying sample essays is focused on helping students with the writing process not just showing them a final product. Section one of the book is aimed at finding your story. Beginning with a year by year monthly planner followed by a focus on effective use of summers, students can see how to structure their time during high school. This is followed by chapters on selecting your program of studies and specific courses as well as acing your standardized tests. This section ends with chapters on resume creation and college search and selection. Once section one is complete students will have made a name for themselves. Section two of the book is all about kicking apps. It walks students through the mechanics of the application process including the parts of the apps themselves. This is followed by a detailed analysis of how to write main and supplemental essays with plenty of examples to consider. Platt and Chiofalo then take time to address the other ancillary aspects of the application process including obtaining killer recommendation letters, having a memorable interview, and then following up after your applications are submitted. Whether you are just beginning your high school journey or experiencing some anxiety jumping into the application process senior year, this book is exactly what you need to alleviate your stress and give you the best chance possible of being admitted to the school of your dreams. |
| common app recommender guide: Statistical Methods for Recommender Systems Deepak K. Agarwal, Bee-Chung Chen, 2016-02-24 Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with. |
| common app recommender guide: Recommender Systems for Learning Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval, 2012-08-28 Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains. |
| common app recommender guide: The College Finder Steven R. Antonoff, 2008 A user-friendly guide written for the college shopper. A book of lists, this is the way to identify colleges where students will get in and fit in; includes the best schools in various fields, hidden gems, best dorm food, great low-cost colleges, best places to study abroad, and activisit campuses. |
| common app recommender guide: Valedictorians at the Gate Becky Munsterer Sabky, 2022-08-02 A former Ivy League admissions officer offers an inspiring battle cry for sanity in the college application process that looks beyond the rankings to successfully determine what's truly the best school for you or your child. After years as a college admissions director for Dartmouth, Becky Munsterer Sabky had seen it all. The perfect grades, the perfect scores, and the perfect extracurriculars. The valedictorians were knocking at the gate, but in their quest for perfection they didn't realize what prize they were trying to win. In Valedictorians at the Gate, Sabky looks beyond the smoke and mirrors of the admissions gauntlet and places the power firmly where it should be: in the hands of the students themselves. Offering prescriptive, actionable advice for applicants and their mentors, Valedictorians at the Gate is the needed tonic for overstressed, overworked, and overwhelmed students on their way to the perfect college for them. -- page [4] of cover |
| common app recommender guide: Rhapsody Elizabeth Haydon, 2000-06-15 Fantasy-roman. |
| common app recommender guide: Big Nate: In a Class by Himself Lincoln Peirce, 2011-06-28 Now an animated series from Paramount + & Nickelodeon! For fans of the hilarious Diary of a Wimpy Kid series: Get ready to meet Big Nate! In the very first novel in the New York Times bestselling series, Big Nate is in a class by himself! Nate knows he’s meant for big things. REALLY big things. But things don’t always go your way just because you’re awesome. Nate barely survives his dad’s toxic oatmeal before rushing off to school—minus his lunch. He body slams the no-nonsense principal. He accidentally insults his least favorite teacher, the horrifying Mrs. Godfrey (aka Godzilla). And school has barely started! Trouble always seems to find him, but Nate keeps his cool. He knows he’s destined for greatness. A fortune cookie told him so. Here comes BIG NATE, accidental mischief maker and definitely NOT the teacher’s pet. Get your reader into this beloved series with Big Nate: In a Class by Himself, the perfect book for anyone who's ever been to middle school. “Big Nate is funny, big time.”—Jeff Kinney, author of Diary of a Wimpy Kid |
| common app recommender guide: Introduction to Information Retrieval Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, 2008-07-07 Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. |
| common app recommender guide: Diffordsguide Cocktails Simon Difford, 2013 Contains over 3000 illustrated cocktail recipes. |
| common app recommender guide: The Song of Achilles Madeline Miller, 2012-04-12 WINNER OF THE ORANGE PRIZE FOR FICTION 2012 Greece in the age of heroes. Patroclus, an awkward young prince, has been exiled to the court of King Peleus and his perfect son Achilles. Despite their differences, Achilles befriends the shamed prince, and as they grow into young men skilled in the arts of war and medicine, their bond blossoms into something deeper - despite the displeasure of Achilles's mother Thetis, a cruel sea goddess. But when word comes that Helen of Sparta has been kidnapped, Achilles must go to war in distant Troy and fulfill his destiny. Torn between love and fear for his friend, Patroclus goes with him, little knowing that the years that follow will test everything they hold dear. |
| common app recommender guide: Data Analytics for Absolute Beginners: a Deconstructed Guide to Data Literacy Oliver Theobald, 2019-07-21 While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence |
| common app recommender guide: Machine Learning: Make Your Own Recommender System Oliver Theobald, 2018-10-06 Learn How to Make Your Own Recommender System in an Afternoon.Recommender systems are one of the most visible applications of machine learning and data mining today and their uncanny ability to convert our unspoken actions into items we desire is both addicting and concerning. And whether recommender systems excite or scare you, the best way to manage their influence and impact is to understand the architecture and algorithms that play on your personal data. Recommender systems are here to stay and for anyone beginning their journey in data science, this is a lucrative space for future employment.This book will get you up and running with the basics as well as the steps to coding your own recommender system. Exercises include predicting book recommendations, relevant house properties for online marketing purposes, and whether a user will click on an ad campaign. The contents of this book is designed for beginners with some background knowledge of data science, including classical statistics and computing programming. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.Topics covered in this book: Setting Up A Sandbox Environment With Jupyter NotebookWorking With DataData ReductionBuilding a Collaborative Filtering ModelBuilding a Content-Based Filtering ModelEvaluationPrivacy & EthicsFuture of Recommender SystemsPlease feel welcome to join this introductory course by buying a copy or sending a free sample to your preferred device. |
| common app recommender guide: GREP in InDesign Peter Kahrel, 2008-10-27 Updated: June 2015. Author Peter Kahrel updated this Short Cut to cover InDesign CC. Several examples have been added, and most examples are now analysed in more detail. Updated: August 2010. Author Peter Kahrel updated this Short Cut to cover InDesign CS5. Updated: November 2009. Author Peter Kahrel updated this Short Cut to address typos and reader comments. GREP (short for General Regular-Expression Print) is a powerful tool that lets you use wildcards (jokers) to search and replace text. InDesign's GREP implementation can be used for text and also for formatting codes, finding patterns in text as well as literal text. GREP moves beyond the restrictions that hampered earlier InDesign search features, but unfortunately it does have the reputation of being difficult to master. As with many things, it can be challenging to learn, but, fortunately, a lot can be done with surprisingly simple expressions. The aim of this Short Cut is to show how to create simple but powerful regular expressions. |
| common app recommender guide: Autonomous Horizons Greg Zacharias, 2019-04-05 Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology. |
| common app recommender guide: Do You Want to Keep Your Customers Forever? B. Joseph Pine, Don Peppers, Martha Rogers, 2009 This classic article shows how to make mass customization and efficient and personal marketing work by putting companies and their consumers in a learning relationship. Over time, this ongoing relationship allows your company to meet customers' changing needs, develop learning relationships with them, and retain their business forever.--Provided by publisher. |
| common app recommender guide: Pattern Recognition and Machine Learning Christopher M. Bishop, 2016-08-23 This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. |
| common app recommender guide: Social Network-Based Recommender Systems Daniel Schall, 2015-09-23 This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working in social network analysis and companies working on recommender systems. Advanced-level students studying computer science, statistics or mathematics will also find this books useful as a secondary text. |
| common app recommender guide: Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016-11-10 An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. |
| common app recommender guide: Personalized Human-Computer Interaction Mirjam Augstein, Eelco Herder, Wolfgang Wörndl, 2023-08-07 Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces. |
| common app recommender guide: The Land God Gave to Cain Hammond Innes, 2016-11-15 A young man battles the odds to rescue a lost explorer on Canada’s remote Labrador Peninsula in this “literate and exciting adventure story” (Kirkus Reviews). Radio operator James Ferguson was seriously wounded in a bombing mission during World War II. A piece of shrapnel buried in his spine, Ferguson was paralyzed, his brain damaged, and his voice silenced forever. But he never gave up fighting. For the rest of his life, Ferguson devoted himself to ham radio, tapping out messages to strangers in Canada, a passion no one in his family understood. But when he dies without ever connecting to his son, Ian, his final message will change the boy’s life forever. Beside the radio, Ian finds his father’s last transmission: a distress call received from the isolated Labrador Peninsula, where the survivor of a lost expedition still cries out for rescue. The authorities dismiss the story as impossible, so Ian must journey to Labrador himself. In the endless frozen landscape, he will risk his life to save another—and prove his father right. To research The Land God Gave to Cain, author Hammond Innes trekked across rough country, hearing the stories of the men who risked their lives to tame the exotic land. Innes was a master at weaving research, landscape, and heart-pounding action into some of the greatest thrillers of all time. |
| common app recommender guide: College Admission Essentials Ethan Sawyer, 2020-07-21 You can get into the perfect school! You may think that getting an acceptance letter from selective colleges and universities is a mad dash to the top that only the very best students survive, and those who make it are just the lucky ones. Stress levels soar as it feels like the bar is rising higher and everything is out of your control. But that's not true! You can take control, and you can do it in a way that's as effective as it is empowering. From describing your extracurriculars to interviews with admission officers, it comes down to two questions: What matters most to you? How does it manifest in your life? The answers will give direction to every part of the admission process. Ethan Sawyer (the College Essay Guy), along with dozens of top admission experts, will help you stand out by showing colleges and universities how your values and your drive will change you, your alma mater, and the world. Inside you'll find... Advice and insight from a team of counselors, advisors, and deans of admission Interactive exercises that quickly and easily provide the best content for your application Access to a massive database of online resources, including organizational tools and in-depth guides Guidance for veterans, students with learning differences, LGBTQ+ students, students interested in women's colleges or HBCUs, and more www.collegeessayguy.com |
Common (rapper) - Wikipedia
Lonnie Rashid Lynn[7][8][9] (born March 13, 1972), known professionally as Common (formerly known as Common Sense), is an American rapper and actor. The recipient of three Grammy …
COMMON Definition & Meaning - Merriam-Webster
The meaning of COMMON is of or relating to a community at large : public. How to use common in a sentence. Synonym Discussion of Common.
COMMON Definition & Meaning - Dictionary.com
Common definition: belonging equally to, or shared alike by, two or more or all in question.. See examples of COMMON used in a sentence.
COMMON | definition in the Cambridge English Dictionary
COMMON meaning: 1. the same in a lot of places or for a lot of people: 2. the basic level of politeness that you…. Learn more.
COMMON definition and meaning | Collins English Dictionary
Common is used to indicate that someone or something is of the ordinary kind and not special in any way. Common salt is made up of 40% sodium and 60% chloride. Common decency or …
Common - definition of common by The Free Dictionary
Of or relating to the community as a whole; public: for the common good. 2. Widespread; prevalent: Gas stations became common as the use of cars grew. 3. a. Occurring frequently or …
What does Common mean? - Definitions.net
The common, that which is common or usual; The common good, the interest of the community at large: the corporate property of a burgh in Scotland; The common people, the people in …
common - Wiktionary, the free dictionary
May 26, 2025 · common (comparative more common or commoner, superlative most common or commonest) Mutual; shared by more than one. The two competitors have the common aim of …
common adjective - Definition, pictures, pronunciation and usage …
Definition of common adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
common, adj. & adv. meanings, etymology and more | Oxford …
There are 35 meanings listed in OED's entry for the word common. See ‘Meaning & use’ for definitions, usage, and quotation evidence. How common is the word common? How is the …
Common (rapper) - Wikipedia
Lonnie Rashid Lynn[7][8][9] (born March 13, 1972), known professionally as Common (formerly known as Common Sense), is an American rapper and actor. The recipient of three Grammy …
COMMON Definition & Meaning - Merriam-Webster
The meaning of COMMON is of or relating to a community at large : public. How to use common in a sentence. Synonym Discussion of Common.
COMMON Definition & Meaning - Dictionary.com
Common definition: belonging equally to, or shared alike by, two or more or all in question.. See examples of COMMON used in a sentence.
COMMON | definition in the Cambridge English Dictionary
COMMON meaning: 1. the same in a lot of places or for a lot of people: 2. the basic level of politeness that you…. Learn more.
COMMON definition and meaning | Collins English Dictionary
Common is used to indicate that someone or something is of the ordinary kind and not special in any way. Common salt is made up of 40% sodium and 60% chloride. Common decency or …
Common - definition of common by The Free Dictionary
Of or relating to the community as a whole; public: for the common good. 2. Widespread; prevalent: Gas stations became common as the use of cars grew. 3. a. Occurring frequently or …
What does Common mean? - Definitions.net
The common, that which is common or usual; The common good, the interest of the community at large: the corporate property of a burgh in Scotland; The common people, the people in …
common - Wiktionary, the free dictionary
May 26, 2025 · common (comparative more common or commoner, superlative most common or commonest) Mutual; shared by more than one. The two competitors have the common aim of …
common adjective - Definition, pictures, pronunciation and usage …
Definition of common adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
common, adj. & adv. meanings, etymology and more | Oxford …
There are 35 meanings listed in OED's entry for the word common. See ‘Meaning & use’ for definitions, usage, and quotation evidence. How common is the word common? How is the …
