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| capital one data science intern: Congressional Intern Handbook Sue Grabowski, Congressional Management Foundation (U.S.), 1996 |
| capital one data science intern: Intern Talk Anthony Louis, 2020-09-15 From navigating interviews and crafting r sum s to effective networking and personal branding, Intern Talk is a career coach and adviser disguised as a book. It not only guides students in the pursuit of professional opportunities but also offers a somewhat novel approach to achieving a lifetime of career success. |
| capital one data science intern: Hacking the Case Interview Taylor Warfield, 2017 To land a management consulting job at any of the top firms, including McKinsey, BCG, Bain, Deloitte, L.E.K., Oliver Wyman and Accenture, you must get through several rounds of case interviews. Whether your interview is in a few weeks or even tomorrow, this book is written to get you the maximum amount of knowledge in the least amount of time. I cut out all of the filler material that some other consulting books have, and tell you everything that you need to know in a clear and direct way. With this shortcut guide, you will: Understand and become proficient at the nine different parts of a case interview, and know exactly what to say and do in each step Learn the only framework strategy that you need to memorize to craft unique and tailored frameworks for every possible case scenario Gain knowledge of basic business terms and principles so that you can develop an astute business intuition Acquire the skills to solve any market sizing or other quantitative problem Uncover how to differentiate yourself from the thousands of other candidates who are fighting to get the same job you are Practice your case interview skills with included practice cases and sample answers Also visit HackingTheCaseInterview.com for a one-week online crash course to pass your upcoming interview. |
| capital one data science intern: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
| capital one data science intern: Washington Internships Deirdre Martinez, 2009 For students interested in a career in politics and public service, Washington Internships is an indispensable guide to landing that crucial first position in the internship capital of the United States and being a successful intern. |
| capital one data science intern: Modern Data Science with R Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton, 2021-03-31 From a review of the first edition: Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice. |
| capital one data science intern: Intern Nation Ross Perlin, 2011-05-09 The first no-holds-barred expos of the exploitative and divisive world of internships. |
| capital one data science intern: Barbarians at the Gate Bryan Burrough, John Helyar, 2009-10-13 #1 New York Times bestseller and arguably the best business narrative ever written, Barbarians at the Gate is the classic account of the fall of RJR Nabisco at the hands of a buyout from investment firm KKR. A book that stormed both the bestseller list and the public imagination, a book that created a genre of its own, and a book that gets at the heart of Wall Street and the '80s culture it helped define, Barbarians at the Gate is a modern classic—a masterpiece of investigatory journalism and a rollicking book of corporate derring-do and financial swordsmanship. The fight to control RJR Nabisco during October and November of 1988 was more than just the largest takeover in Wall Street history. Marked by brazen displays of ego not seen in American business for decades, it became the high point of a new gilded age and its repercussions are still being felt. The tale remains the ultimate story of greed and glory—a story and a cast of characters that determined the course of global business and redefined how deals would be done and fortunes made in the decades to come. Barbarians at the Gate is the gripping account of these two frenzied months, of deal makers and publicity flaks, of an old-line industrial powerhouse (home of such familiar products a Oreos and Camels) that became the victim of the ruthless and rapacious style of finance in the 1980s. As reporters for The Wall Street Journal, Burrough and Helyar had extensive access to all the characters in this drama. They take the reader behind the scenes at strategy meetings and society dinners, into boardrooms and bedrooms, providing an unprecedentedly detailed look at how financial operations at the highest levels are conducted but also a richly textured social history of wealth at the twilight of the Reagan era. At the center of the huge power struggle is RJR Nabisco's president, the high-living Ross Johnson. It's his secret plan to buy out the company that sets the frenzy in motion, attracting the country's leading takeover players: Henry Kravis, the legendary leveraged-buyout king of investment firm KKR, whose entry into the fray sets off an acquisitive commotion; Peter Cohen, CEO of Shearson Lehman Hutton and Johnson's partner, who needs a victory to propel his company to an unchallenged leadership in the lucrative mergers and acquisitions field; the fiercely independent Ted Forstmann, motivated as much by honor as by his rage at the corruption he sees taking over the business he cherishes; Jim Maher and his ragtag team, struggling to regain credibility for the decimated ranks at First Boston; and an army of desperate bankers, lawyers, and accountants, all drawn inexorably to the greatest prize of their careers—and one of the greatest prizes in the history of American business. Written with the bravado of a novel and researched with the diligence of a sweeping cultural history, Barbarians at the Gate is present at the front line of every battle of the campaign. Here is the unforgettable story of that takeover in all its brutality. In a new afterword specially commissioned for the story's 20th anniversary, Burrough and Helyar return to visit the heroes and villains of this epic story, tracing the fallout of the deal, charting the subsequent success and failure of those involved, and addressing the incredible impact this story—and the book itself—made on the world. |
| capital one data science intern: Pristine Seas Enric Sala, Leonardo DiCaprio, 2015 National Geographic Explorer-in-Residence Enric Sala takes readers on an unforgettable journey to 10 places where the ocean is virtually untouched by man, offering a fascinating glimpse into our past and an inspiring vision for the future. From the shark-rich waters surrounding Coco Island, Costa Rica, to the iceberg-studded sea off Franz Josef Land, Russia, this incredible photographic collection showcases the thriving marine ecosystems that Sala is working to protect. Offering a rare glimpse into the world's underwater Edens, more than 200 images take you to the frontier of the Pristine Seas expeditions, where Sala's teams explore the breathtaking wildlife and habitats from the depths to the surface--thriving ecosystems with healthy corals and a kaleidoscopic variety of colorful fish and stunning creatures that have been protected from human interference. With this dazzling array of photographs that capture the beauty of the water and the incredible wildlife within it, this book shows us the brilliance of the sea in its natural state.-- |
| capital one data science intern: Quant Job Interview Questions and Answers Mark Joshi, Nick Denson, Nicholas Denson, Andrew Downes, 2013 The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, The Concepts and Practice of Mathematical Finance. |
| capital one data science intern: Fundamentals of Clinical Data Science Pieter Kubben, Michel Dumontier, Andre Dekker, 2018-12-21 This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience. |
| capital one data science intern: Education for Employability (Volume 1) Joy Higgs, Geoffrey Crisp, Will Letts, 2019-03-25 Universities are expected to produce employable graduates. In Education for Employability, experts explore critical questions in the employability agenda: Who sets the standards and expectations of employability? How do students monitor their own employability? How can universities design whole curricula and university environments that promote employability? What teaching and learning strategies facilitate the development of employability? Responsibility for developing and sustaining employability lies with a broad coalition of the individual students, the university, alumni, the professions and industry and is accomplished through the intended curriculum as well as co-curricular, extra-curricular and supra-curricular activities, events and learning opportunities. |
| capital one data science intern: Case Interview Secrets Victor Cheng, 2012 Cheng, a former McKinsey management consultant, reveals his proven, insider'smethod for acing the case interview. |
| capital one data science intern: Data Science in Practice Alan Said, Vicenç Torra, 2018-09-19 This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage. |
| capital one data science intern: Heard on The Street Timothy Falcon Crack, 2024-08-05 [Warning: Do not buy an old edition of Timothy Crack's books by mistake. Click on the Amazon author page link for a list of the latest editions .] THIS IS A MUST READ! It is the first and the original book of quantitative questions from finance job interviews. Painstakingly revised over 30 years and 25 editions, Heard on The Street has been shaped by feedback from hundreds of readers. With well over 75,000 copies in print, its readership is unmatched by any competing book. The revised 25th edition contains 242 quantitative questions collected from actual job interviews in investment banking, investment management, and options trading. The interviewers use the same questions year-after-year, and here they are with detailed solutions! This edition also includes 267 non-quantitative actual interview questions, giving a total of more than 500 actual finance job interview questions. Questions that appeared in (or are likely to appear in) traditional corporate finance or investment banking job interviews are indicated with a bank symbol in the margin (72 of the 242 quant questions and 196 of the 267 non-quant questions). This makes it easier for corporate finance candidates to go directly to the questions most relevant to them. Most of these questions also appeared in capital markets interviews and quant interviews. So, they should not be skipped over by capital markets or quant candidates unless they are obviously irrelevant. There is also a recently revised section on interview technique based on feedback from interviewers worldwide. The quant questions cover pure quant/logic, financial economics, derivatives, and statistics. They come from all types of interviews (corporate finance, sales and trading, quant research, etc.), and from all levels of interviews (undergraduate, MS, MBA, PhD). The first seven editions of Heard on the Street contained an appendix on option pricing. That appendix was carved out as a standalone book many years ago and it is now available in a recently revised edition: Basic Black-Scholes. Dr. Crack did PhD coursework at MIT and Harvard, and graduated with a PhD from MIT. He has won many teaching awards, and has publications in the top academic, practitioner, and teaching journals in finance. He has degrees/diplomas in Mathematics/Statistics, Finance, Financial Economics and Accounting/Finance. Dr. Crack taught at the university level for over 25 years including four years as a front line teaching assistant for MBA students at MIT, and four years teaching undergraduates, MBAs, and PhDs at Indiana University. He has worked as an independent consultant to the New York Stock Exchange and to a foreign government body investigating wrong doing in the financial markets. He previously held a practitioner job as the head of a quantitative active equity research team at what was the world's largest institutional money manager. |
| capital one data science intern: Investing For Dummies® (Volume 1 of 2) (EasyRead Super Large 18pt Edition) Eric Kevin Tyson, Become a savvy investor with this updated Wall Street Journal bestseller Want to take charge of your financial future? This national bestselling guide has been thoroughly updated to provide you with the latest insights into smart investing, from weighing your investment options (such as stocks, real estate, and small business) to understanding risks and returns, managing your portfolio, and much more.Get time-tested investment advice -- expert author Eric Tyson shares his extensive knowledge and reveals how to invest in challenging marketsDiscover all the fundamenta. |
| capital one data science intern: Ally's Scoliosis Adventure Bridget Yang, 2019-10-14 A beautifully illustrated children's book about the adventures of a young girl diagnosed with scoliosis who has to wear a back brace. |
| capital one data science intern: The Business of Venture Capital Mahendra Ramsinghani, 2014-07-14 The definitive guide to demystifying the venture capital business The Business of Venture Capital, Second Edition covers the entire spectrum of this field, from raising funds and structuring investments to assessing exit pathways. Written by a practitioner for practitioners, the book provides the necessary breadth and depth, simplifies the jargon, and balances the analytical logic with experiential wisdom. Starting with a Foreword by Mark Heesen, President, National Venture Capital Association (NVCA), this important guide includes insights and perspectives from leading experts. Covers the process of raising the venture fund, including identifying and assessing the Limited Partner universe; fund due-diligence criteria; and fund investment terms in Part One Discusses the investment process, including sourcing investment opportunities; conducting due diligence and negotiating investment terms; adding value as a board member; and exploring exit pathways in Part Two Offers insights, anecdotes, and wisdom from the experiences of best-in-class practitioners Includes interviews conducted by Leading Limited Partners/Fund-of-Funds with Credit Suisse, Top Tier Capital Partners, Grove Street Advisors, Rho Capital, Pension Fund Managers, and Family Office Managers Features the insights of over twenty-five leading venture capital practitioners, frequently featured on Forbes' Midas List of top venture capitalists Those aspiring to raise a fund, pursue a career in venture capital, or simply understand the art of investing can benefit from The Business of Venture Capital, Second Edition. The companion website offers various tools such as GP Fund Due Diligence Checklist, Investment Due Diligence Checklist, and more, as well as external links to industry white papers and other industry guidelines. |
| capital one data science intern: OpenIntro Statistics David Diez, Christopher Barr, Mine Çetinkaya-Rundel, 2015-07-02 The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources. |
| capital one data science intern: Communicating with Data Deborah Nolan, Sara Stoudt, 2021-03-25 Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data. General advice on science writing is also provided, including how to distill findings into a story and organize and revise the story, and how to write clearly, concisely, and precisely. This is an excellent resource for students who want to learn how to write about scientific findings, and for instructors who are teaching a science course in communication or a course with a writing component. Communicating with Data consists of five parts. Part I helps the novice learn to write by reading the work of others. Part II delves into the specifics of how to describe data at a level appropriate for publication, create informative and effective visualizations, and communicate an analysis pipeline through well-written, reproducible code. Part III demonstrates how to reduce a data analysis to a compelling story and organize and write the first draft of a technical paper. Part IV addresses revision; this includes advice on writing about statistical findings in a clear and accurate way, general writing advice, and strategies for proof reading and revising. Part V offers advice about communication strategies beyond the page, which include giving talks, building a professional network, and participating in online communities. This book also provides 22 portfolio prompts that extend the guidance and examples in the earlier parts of the book and help writers build their portfolio of data communication. |
| capital one data science intern: Vault Guide to Top Internships Samer Hamadeh, 2004 This new Vault guide provides detailed information on the internship programs at over 700 companies nationwide, from Fortune 500 companies to nonprofits and governmental institutions. |
| capital one data science intern: Silicon Valley for Foreigners Reinaldo Normand, 2017-06-03 Written by a San Francisco based, foreign born entrepreneur, this book offers a unique perspective to decode the business etiquette and cultural traits of the Silicon Valley ecosystem. Recommended for entrepreneurs, executives, students and investors living outside the San Francisco Bay Area and interested in startups and innovation. |
| capital one data science intern: Undergraduate Catalog University of Michigan--Dearborn, 2011 |
| capital one data science intern: 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. |
| capital one data science intern: Natural Resource Year in Review , 2006 |
| capital one data science intern: Intelligence-Based Medicine Anthony C. Chang, 2020-06-27 Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. - Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything - Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists - Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future - Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare |
| capital one data science intern: Think Stats Allen B. Downey, 2011-07-01 If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data |
| capital one data science intern: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| capital one data science intern: The Neural Basis of Behavior A.L. Beckman, 2012-12-06 The Symposium on the Neural Basis of Behavior, from which this volume was produced, was held at the Alfred I. duPont Institute on June 7 and 8, 1979. It brought outstanding investigators in four fundamental areas of behavioral neurobiology into juxtaposition, there to provide an integrated, multidisciplinary perspective on behaviorally significant brain mechanisms. Particular emphasis was placed on topics of interest to neurobiologists as well as to clinicians in neurological and psychiatric disciplines. The session on central activity states was selected as an appropriate point of departure because the continuum of brain activity states extending from the natural depression of hibernation through the heightened levels of arousal accom panying learning is such a clear and basic determinant of behavioral output. The papers on learning and memory outlined diverse approaches to un derstanding the basis of these interrelat~d CNS capabilities that constitute the neural basis of behavioral adaptation. Finally, the topics of affective states and mechanisms of pain provided a focus of clinically relevant discus sion covering multiple levels of functional and anatomical CNS organiza tion. The success of the symposium bore testimony to the excellence of the presentations and to the symbiosis of their content; both are preserved herein. The support and encouragement of Dr. G. Dean MacEwen, Medical Director of the Alfred I. duPont Institute, is gratefully acknowl edged. Alexander L. Beckman Wilmington, July 1979 The Neural Basis of Behavior PART I Central Activity States Copyright © 1982, Spectrum Publications, Inc. |
| capital one data science intern: Pedagogy of the Oppressed Paulo Freire, 1972 |
| capital one data science intern: Frequently Asked Questions in Quantitative Finance Paul Wilmott, 2010-05-27 Paul Wilmott writes, Quantitative finance is the most fascinating and rewarding real-world application of mathematics. It is fascinating because of the speed at which the subject develops, the new products and the new models which we have to understand. And it is rewarding because anyone can make a fundamental breakthrough. Having worked in this field for many years, I have come to appreciate the importance of getting the right balance between mathematics and intuition. Too little maths and you won't be able to make much progress, too much maths and you'll be held back by technicalities. I imagine, but expect I will never know for certain, that getting the right level of maths is like having the right equipment to climb Mount Everest; too little and you won't make the first base camp, too much and you'll collapse in a heap before the top. Whenever I write about or teach this subject I also aim to get the right mix of theory and practice. Finance is not a hard science like physics, so you have to accept the limitations of the models. But nor is it a very soft science, so without those models you would be at a disadvantage compared with those better equipped. I believe this adds to the fascination of the subject. This FAQs book looks at some of the most important aspects of financial engineering, and considers them from both theoretical and practical points of view. I hope that you will see that finance is just as much fun in practice as in theory, and if you are reading this book to help you with your job interviews, good luck! Let me know how you get on! |
| capital one data science intern: Introduction to Counting and Probability David Patrick, 2007-08 |
| capital one data science intern: Option Volatility & Pricing: Advanced Trading Strategies and Techniques Sheldon Natenberg, 1994-08 Provides a thorough discussion of volatility, the most important aspect of options trading. Shows how to identify mispriced options and to construct volatility and delta neutral spreads. |
| capital one data science intern: Think Data Structures Allen B. Downey, 2017-07-07 If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes. |
| capital one data science intern: Deep Learning and the Game of Go Kevin Ferguson, Max Pumperla, 2019-01-06 Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning |
| capital one data science intern: Positioned Dan L. Ward, Rob Tripp, Bill Maki, 2013 In today's highly competitive job market, companies are struggling to find the right people to fill their positions. Learn how to make great hires, realign your workforce, and get your company's profits back on track. |
| capital one data science intern: Pragmatic AI Noah Gift, 2018-07-12 Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| capital one data science intern: GMAT Official Advanced Questions GMAC (Graduate Management Admission Council), 2019-09-24 GMAT Official Advanced Questions Your GMAT Official Prep collection of only hard GMAT questions from past exams. Bring your best on exam day by focusing on the hard GMAT questions to help improve your performance. Get 300 additional hard verbal and quantitative questions to supplement your GMAT Official Guide collection. GMAT Official Advance Questions: Specifically created for those who aspire to earn a top GMAT score and want additional prep. Expand your practice with 300 additional hard verbal and quantitative questions from past GMAT exams to help you perform at your best. Learn strategies to solve hard questions by reviewing answer explanations from subject matter experts. Organize your studying with practice questions grouped by fundamental skills Help increase your test-taking performance and confidence on exam day knowing you studied the hard GMAT questions. PLUS! Your purchase includes online resources to further your practice: Online Question Bank: Create your own practice sets online with the same questions in GMAT Official Advance Questions to focus your studying on specific fundamental skills. Mobile App: Access your Online Question Bank through the mobile app to never miss a moment of practice. Study on-the-go and sync with your other devices. Download the Online Question Bank once on your app and work offline. This product includes: print book with a unique access code and instructions to the Online Question Bank accessible via your computer and Mobile App. |
| capital one data science intern: Estimation with Applications to Tracking and Navigation Yaakov Bar-Shalom, X. Rong Li, Thiagalingam Kirubarajan, 2004-04-05 Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics. The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include: * Problems that apply theoretical material to real-world applications * In-depth coverage of the Interacting Multiple Model (IMM) estimator * Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators * Design guidelines for tracking filters Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area. |
| capital one data science intern: AI 2023: Advances in Artificial Intelligence Tongliang Liu, Geoff Webb, Lin Yue, Dadong Wang, 2023-11-26 This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm. |
Stallons Auto Sales LLC - Capital One
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Capital One Branch, ATM & Café Location Finder
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Learn about the three types of banking locations, Cafes, ATMs and branches, that Capital One offers and what you can do at each location type.
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careers created within this ecosystem. One such career path, data science, has emerged as one of the fastest growing industries. The U.S. Bureau of Labor Statistics projects there will be an …
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Data Science Internship - National Audit Office
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We leverage data and information to improve capabilities and processes and help mitigate fraud, risk, and other potential business threats. Roles include: Modelers, Data Science, Data Analytics, …
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Client-focused Investment Banking - Loop Capital
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Center for infrastructure, Sustainable Transportation and Urban ...
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A Case Study of the Capital One Data Breach
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Pathways Qualification Standard - Veterans Affairs
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North Texas Chapter American Statistical Association - SMU
Chapter)/Capital One Data Science. Abstract: On April 28 2016, Capital One is partnering with American Statistical Association (North Texas Chapter) for an evening of Data Science and …
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CAPITAL ONE DATA BREACH CLASS ACTION SETTLEMENT
A class action settlement has been proposed in a case against Capital One Financial Corporation, Capital One, N.A., and Capital One Bank (USA), N.A. (“Capital One”), and against Amazon.com, …
RESEARCH INTERNSHIP PROGRAM - IIM Mumbai
of researchers for the role of Data Scientist/Research Associate/Research Assistant/Research Intern. The interns will be mentored by the Director and Senior Professors of IIM Mumbai. Key …
2. Entry Level Data Scientist Resume
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16. Defendant Capital One Financial Corporation, through its subsidiaries, including Defendants Capital One, N.A., and Capital One Bank (USA), N.A., is one of the largest credit-card issuers in …
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