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| bloomberg data science internship: Hands-On Data Analysis with Pandas Stefanie Molin, 2019-07-26 Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling in PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning (ML) algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsUse pandas to solve common data representation and analysis problemsBuild Python scripts, modules, and packages for reusable analysis codeWho this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial. |
| bloomberg data science internship: The Bloomberg Way Matthew Winkler, 2011-09-28 The definitive guide to reporting and editing the story of money Financial reporting is more important than ever as people grow increasingly aware of how their lives are affected by Wall Street and the federal government. Bloomberg News has earned the respect of journalists and readers around the world for its fast, in-depth and accurate stories. The Bloomberg Way, an internal manual compiled over two decades, reflects the new realities of journalism, in which speed is paramount, the impact of news is instantaneous, and the lines between objectivity and opinion are increasingly blurred. The Bloomberg Way is the most thorough and comprehensive guide to reporting and editing the story of money. This indispensable text for both journalism professionals and students outlines the central principles of Bloomberg News, explaining how to write compelling stories while maintaining standards of accuracy, honesty and ethics. The five F's of reporting: Factual, First, Fastest, Final and Future Word The essentials of writing an enticing lead and organizing story lines when preparing for breaking news on anything from an earnings release to a market crash Ways to keep opinion and speculation out of your writing The Bloomberg Way stylebook is the most important writer's resource of one of the largest news organizations in the world. It informs as it instructs, from how to conduct effective interviews to analyzing financial reports to the imperative for accuracy and integrity in gathering and publishing news. |
| bloomberg data science internship: Embracing Modern C++ Safely John Lakos, Vittorio Romeo, Rostislav Khlebnikov, Alisdair Meredith, 2021-12-16 Maximize Reward and Minimize Risk with Modern C++ Embracing Modern C++ Safely shows you how to make effective use of the new and enhanced language features of modern C++ without falling victim to their potential pitfalls. Based on their years of experience with large, mission-critical projects, four leading C++ authorities divide C++11/14 language features into three categories: Safe, Conditionally Safe, and Unsafe. Safe features offer compelling value, are easy to use productively, and are relatively difficult to misuse. Conditionally safe features offer significant value but come with risks that require significant expertise and familiarity before use. Unsafe features have an especially poor risk/reward ratio, are easy to misuse, and are beneficial in only the most specialized circumstances. This book distills the C++ community's years of experience applying C++11 and C++14 features and will help you make effective and safe design decisions that reflect real-world, economic engineering tradeoffs in large-scale, diverse software development environments. The authors use examples derived from real code bases to illustrate every finding objectively and to illuminate key issues. Each feature identifies the sound use cases, hidden pitfalls, and shortcomings of that language feature. After reading this book, you will Understand what each C++11/14 feature does and where it works best Recognize how to work around show-stopping pitfalls and annoying corner cases Know which features demand additional training, experience, and peer review Gain insights for preparing coding standards and style guides that suit your organization's needs Be equipped to introduce modern C++ incrementally and judiciously into established code bases Seasoned C++ developers, team leads, and technical managers who want to improve productivity, code quality, and maintainability will find the insights in this modular, meticulously organized reference indispensable. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| bloomberg data science internship: Cleaning Data for Effective Data Science David Mertz, 2021-03-31 Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook Description Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. If you work with any kind of data, this book is your go-to resource, arming you with the insights and heuristics experienced data scientists had to learn the hard way. In a light-hearted and engaging exploration of different tools, techniques, and datasets real and fictitious, Python veteran David Mertz teaches you the ins and outs of data preparation and the essential questions you should be asking of every piece of data you work with. Using a mixture of Python, R, and common command-line tools, Cleaning Data for Effective Data Science follows the data cleaning pipeline from start to end, focusing on helping you understand the principles underlying each step of the process. You'll look at data ingestion of a vast range of tabular, hierarchical, and other data formats, impute missing values, detect unreliable data and statistical anomalies, and generate synthetic features. The long-form exercises at the end of each chapter let you get hands-on with the skills you've acquired along the way, also providing a valuable resource for academic courses. What you will learnIngest and work with common data formats like JSON, CSV, SQL and NoSQL databases, PDF, and binary serialized data structuresUnderstand how and why we use tools such as pandas, SciPy, scikit-learn, Tidyverse, and BashApply useful rules and heuristics for assessing data quality and detecting bias, like Benford’s law and the 68-95-99.7 ruleIdentify and handle unreliable data and outliers, examining z-score and other statistical propertiesImpute sensible values into missing data and use sampling to fix imbalancesUse dimensionality reduction, quantization, one-hot encoding, and other feature engineering techniques to draw out patterns in your dataWork carefully with time series data, performing de-trending and interpolationWho this book is for This book is designed to benefit software developers, data scientists, aspiring data scientists, teachers, and students who work with data. If you want to improve your rigor in data hygiene or are looking for a refresher, this book is for you. Basic familiarity with statistics, general concepts in machine learning, knowledge of a programming language (Python or R), and some exposure to data science are helpful. |
| bloomberg data science internship: Data Science for Economics and Finance Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, 2021 This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications. |
| bloomberg data science internship: Fundamental Proof Methods in Computer Science Konstantine Arkoudas, David Musser, 2017-05-05 A textbook that teaches students to read and write proofs using Athena. Proof is the primary vehicle for knowledge generation in mathematics. In computer science, proof has found an additional use: verifying that a particular system (or component, or algorithm) has certain desirable properties. This book teaches students how to read and write proofs using Athena, a freely downloadable computer language. Athena proofs are machine-checkable and written in an intuitive natural-deduction style. The book contains more than 300 exercises, most with full solutions. By putting proofs into practice, it demonstrates the fundamental role of logic and proof in computer science as no other existing text does. Guided by examples and exercises, students are quickly immersed in the most useful high-level proof methods, including equational reasoning, several forms of induction, case analysis, proof by contradiction, and abstraction/specialization. The book includes auxiliary material on SAT and SMT solving, automated theorem proving, and logic programming. The book can be used by upper undergraduate or graduate computer science students with a basic level of programming and mathematical experience. Professional programmers, practitioners of formal methods, and researchers in logic-related branches of computer science will find it a valuable reference. |
| bloomberg data science internship: Ace the Data Science Interview Kevin Huo, Nick Singh, 2021 |
| bloomberg data science internship: Social Mobility Lee Elliot Major, Stephen Machin, 2018-09-27 What are the effects of decreasing social mobility? How does education help - and hinder - us in improving our life chances? Why are so many of us stuck on the same social rung as our parents? Apart from the USA, Britain has the lowest social mobility in the Western world. The lack of movement in who gets where in society - particularly when people are stuck at the bottom and the top - costs the nation dear, both in terms of the unfulfilled talents of those left behind and an increasingly detached elite, disinterested in improvements that benefit the rest of society. This book analyses cutting-edge research into how social mobility has changed in Britain over the years, the shifting role of schools and universities in creating a fairer future, and the key to what makes some countries and regions so much richer in opportunities, bringing a clearer understanding of what works and how we can better shape our future. |
| bloomberg data science internship: What Works? Lee Elliot Major, Steve Higgins, 2019-10-03 From the authors of the Sutton Trust-EEF Teaching and Learning Toolkit comes What Works?, a must-read guide that summarises the research and hard evidence of what works and what doesn't in primary and secondary classrooms, and provides practical strategies for transforming pupils' progress. Lee Elliot Major and Steve Higgins look at common teaching approaches, including raising aspirations, improving behaviour, outdoor learning and parental engagement. They present the research and evidence behind each approach and provide practical steps for best practice in the classroom to boost the learning and life outcomes of all pupils. Explored in a concise, accessible manner, the research and evidence is distilled into clear, precise guidance that can be used immediately, ideal for any busy teacher. What Works? makes it easy for all primary and secondary teachers to become research-informed practitioners in every aspect of their teaching. From debunking enduring education myths to providing practical next steps and strategies that really make a difference, this is the essential guide to evidence-based teaching and a must-have for every teacher looking to increase their impact in the classroom. |
| bloomberg data science internship: Work Smarts Betty Liu, 2013-12-09 Award-winning Bloomberg television host Betty Liu compiles the wisdom of the world's best CEOs into a fun, insightful, and practical guide for success. Betty Liu is famous the world over for asking the tough questions of today’s most successful people—and for her uncanny ability to get straight answers where others have failed. As an award-winning financial journalist and Bloomberg Television anchor, Betty has sat down with billionaires, CEOs, politicians, and celebrities to get their views from the top. Now, in Work Smarts, Betty helps you get to the top by distilling the wisdom of some of the most prominent CEOs in the country. Warren Buffett, Jamie Dimon, Elon Musk, Sam Zell, John Chambers, Anne Mulcahy, and many more spill the beans on what it really takes to be successful, giving practical, “from the street” advice on how to get ahead in your career. Packed with candid, often humorous, revelations from leaders in the world of finance, technology, retail, telecom, entertainment, and more, Work Smarts delivers priceless guidance on: How to really network The importance of being likable What your boss is thinking when you ask for a raise Winning every negotiation Bouncing back from a firing or layoff Thinking like a true entrepreneur The secret skill every successful person needs Overcoming fear Being a standout job candidate Knowing what’s holding you back Knowing what can propel you forward Why sometimes being good at your job just isn’t enough Combining the trademark, hands-on approach of one of today’s most respected financial journalists with the wisdom of the world’s most successful business leaders, Work Smarts is a gold mine of real-world insight and advice on how to get ahead in business and forge a career that maximizes all your best talents and skills. |
| bloomberg data science internship: Bloomberg Markets , 2003-07 |
| bloomberg data science internship: Colleges Worth Your Money Andrew Belasco, Dave Bergman, Michael Trivette, 2024-06-01 Colleges Worth Your Money: A Guide to What America's Top Schools Can Do for You is an invaluable guide for students making the crucial decision of where to attend college when our thinking about higher education is radically changing. At a time when costs are soaring and competition for admission is higher than ever, the college-bound need to know how prospective schools will benefit them both as students and after graduation. Colleges Worth Your Moneyprovides the most up-to-date, accurate, and comprehensive information for gauging the ROI of America’s top schools, including: In-depth profiles of 200 of the top colleges and universities across the U.S.; Over 75 key statistics about each school that cover unique admissions-related data points such as gender-specific acceptance rates, early decision acceptance rates, and five-year admissions trends at each college. The solid facts on career outcomes, including the school’s connections with recruiters, the rate of employment post-graduation, where students land internships, the companies most likely to hire students from a particular school, and much more. Data and commentary on each college’s merit and need-based aid awards, average student debt, and starting salary outcomes. Top Colleges for America’s Top Majors lists highlighting schools that have the best programs in 40+ disciplines. Lists of the “Top Feeder” undergraduate colleges into medical school, law school, tech, journalism, Wall Street, engineering, and more. |
| bloomberg data science internship: Elements of Programming Alexander Stepanov, Paul McJones, 2019-06-17 Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. This book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. |
| bloomberg data science internship: Sustainable Investing: Problems And Solutions Anatoly B Schmidt, 2024-08-08 This book covers multifaceted problems and their possible solutions in sustainable investing. Written by experts in the field from academia and industry, the book includes three main topics. The general problems of sustainable investing are addressed in Part 1. They include the discussion of the concept of double materiality, current ESG legal framework and its specifics for private equity, the reviews of the sustainable investment indexes and funds, as well as the machine learning techniques for deriving and analysing the ESG ratings.Part 2 is devoted to the climate change. It covers net-zero portfolios being the means of reducing the investment carbon footprint, estimation of the Scope 3 greenhouse gas emissions, venture investments in carbon dioxide removal technologies, and an optimization problem of fuel production in carbon trading.Finally, Part 3 describes several sustainable investing strategies based on including sustainability indices and factors into the portfolio choice framework. It also introduces new portfolio performance measures relevant for sustainable investing. |
| bloomberg data science internship: We: A Manifesto for Women Everywhere Gillian Anderson, Jennifer Nadel, 2017-03-07 Urgent and provocative, We: A Manifesto for Women Everwhere is “part self-help, part social theory, centered in the idea that instead of having it ‘all,’ women can live happier, better lives by becoming more free” (Glamour), from longtime friends Gillian Anderson and Jennifer Nadel. We: A Manifesto for Women Everywhere is an uplifting, timely, and practical manual for creating change in women’s lives, with nine universal principles that help you confront life’s inevitable emotional and spiritual challenges. It’s about transitioning from a me-first culture and imagining what a we-based world might look like. In We, Anderson and Nadel ask why so many women are locked in cycles of depression, addiction, self-criticism, and even self-harm. How much more effective and powerful would we all be if we replaced our current patterns of competition, criticism, and comparison with collaboration, cooperation, and compassion? Putting these values at the center of our lives allows each of us to be happier and more empowered, and to replace harmful habits with a more positive, peaceful, and rewarding way of being. We is a rallying cry for “every woman, everywhere on the planet. Open to any page. And there you will find a truth that can set you free” (Christiane Northrup, MD, author of Women’s Bodies, Women’s Wisdom). |
| bloomberg data science internship: Machine Learning for Asset Managers Marcos M. López de Prado, 2020-04-22 Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to learn complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects. |
| bloomberg data science internship: What Every Angel Investor Wants You to Know: An Insider Reveals How to Get Smart Funding for Your Billion Dollar Idea Brian Cohen, John Kador, 2013-03-26 WHAT IF YOU HAD AN ANGEL ON YOUR SIDE? Terrific advice from a master of the angel investing game. Brian Cohen reveals the art and craft of raising angel money. An investment in this book will pay off a thousandfold. -- DR. HOWARD MORGAN, founder and partner at First Round Capital When you connect with the right angel investor, it's like finding a new best friend--you just have to know what makes him or her happy. Smart funding is waiting for smart founders. Raising funds is all about connecting with the investor who's right for you--and What Every Angel Investor Wants You to Know shows you exactly how to succeed. Veteran early-stage investor Brian Cohen knows how to spot a great company destined for success, and in this groundbreaking book he offers soup-to-nuts guidance for any entrepreneur seeking to launch an invention, a product, or a great new idea into a receptive marketplace. As chairman of the board of directors of the New York Angels, Cohen is one of the most engaged angel investors out there today. The first investor in Pinterest, he describes exactly what angels want to see, hear, and feel before they take out their checkbooks: A clear exit strategy before the startup even launches Facts that turn due diligence into do diligence Authenticity--save your spinning for the fitness center Proof that you live inside the customer's head Cohen gives invaluable insight into how the most successful angels view due diligence, friends and family money, crowdfunding, team building, scalability, iteration, exit strategies--and much more. This one-of-a-kind book provides a rare look inside the minds of people who are in the business of funding businesses just like yours. Read What Every Angel Investor Wants You to Know to get your best shot at funding for your product after your very first pitch. PRAISE FOR WHAT EVERY ANGEL INVESTOR WANTS YOU TO KNOW: Brian Cohen is truly the entrepreneur's best friend. Cohen and Kador haven distilled their first-hand experiences into an intensely personal, highly readable journey into the mind of angels that should be kept at the bedside of every startup CEO. -- DAVID S. ROSE, founder, New York Angels, and CEO, Gust Meet one of the fundamental building blocks of the entrepreneurial scene. In one easy-to-read package, readers now have the wisdom of Brian Cohen, perhaps the most well-connected investor/entrepreneur in New York. -- MURAT AKTIHANOGLU, founder and managing director, Entrepreneurs Roundtable Accelerator What Every Angel Investor Wants You to Know gives you an actionable checklist for success in fund-raising and entrepreneurship. Cohen and Kador provide an exhilarating ride for those who want to pilot their own business. -- REED HOLDEN, serial entrepreneur and author of Negotiating with Backbone Personal insights from a seasoned angel investor. An important addition to the reading list for today's entrepreneurs. -- SCOTT CASE, CEO, Startup America Partnership What Every Angel Investor Wants You to Know is a must-read for entrepreneurs and investors who want to fi nance startup dreams--an accessible, jargon-free, practical primer. -- WHITNEY JOHNSON, author of Dare, Dream, Do: Remarkable Things Happen When You Dare to Dream and cofounder, Rose Park Advisors |
| bloomberg data science internship: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
| bloomberg data science internship: The Jungle Doctor Chloe Buiting, 2021-05-04 Explore the majestic, biodiverse world with Australia's very own 'jungle doctor'. Fresh from veterinary school, passionate conservationist Dr Chloe Buiting headed for the front line of Africa's rhino-poaching crisis, going on to live and work in many other remote corners of the globe. From catching wild giraffes by helicopter in Zimbabwe to meeting elephants with prosthetic legs in Asia, working with Maasai communities in Tanzania and tending to wildlife caught up in the bushfire crisis at home in Australia, Chloe's compassion for animals in their natural habitat takes her into awe-inspiring locations – and hair-raising situations. See what life is like in a job where no day is ever the same. Accompany Chloe on her journey into the fascinating world of conservation. And discover humanity's deep connection with the animal kingdom, one adventure at a time. 'The Jungle Doctor prepares current and future wildlife heroes to take on any challenge in their path with confidence' Stephanie Arne, Conservationist |
| bloomberg data science internship: Science John Michels (Journalist), 2003 |
| bloomberg data science internship: Animosity at Bay Pallavi Raghavan, 2020 A fresh, unconventional look at the early post-partition years, suggesting that cooperation rather than conflict was the order of the day between India and Pakistan. |
| bloomberg data science internship: Hacking the Electorate Eitan Hersh, 2015-06-09 Hacking the Electorate focuses on the consequences of campaigns using microtargeting databases to mobilize voters in elections. Eitan Hersh shows that most of what campaigns know about voters comes from a core set of public records, and the content of public records varies from state to state. This variation accounts for differences in campaign strategies and voter coalitions across the nation. |
| bloomberg data science internship: Institutional and Organizational Analysis Eric Alston, Lee J. Alston, Bernardo Mueller, Tomas Nonnenmacher, 2018-08-23 Why isn't the whole world developed? This toolkit for institutional analysis explains how rules affect the performance of countries, firms, and even families. |
| bloomberg data science internship: Statistics and Data Analysis for Financial Engineering David Ruppert, David S. Matteson, 2015-04-21 The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest. |
| bloomberg data science internship: 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. |
| bloomberg data science internship: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
| bloomberg data science internship: Fifty Challenging Problems in Probability with Solutions Frederick Mosteller, 2012-04-26 Remarkable puzzlers, graded in difficulty, illustrate elementary and advanced aspects of probability. These problems were selected for originality, general interest, or because they demonstrate valuable techniques. Also includes detailed solutions. |
| bloomberg data science internship: Top 100 Tricky Java Interview Questions Knowledge Powerhouse, 2016-07-21 This book contains tricky and nasty Java interview questions that an interviewer asks in Java technology interview. It is a compilation of questions after attending dozens of Java interviews in top-notch companies like- Google, Facebook, Ebay, Amazon etc. You can save time by reading questions as well as answers from the book. Sample questions are: How can you determine if JVM is 32-bit or 64-bit from Java Program? What is the right data type to represent Money (like Dollar/Pound) in Java? Is ++ operation thread-safe in Java? |
| bloomberg data science internship: Management John R. Schermerhorn, Jr., Daniel G. Bachrach, 2020-02-05 Schermerhorn, Management 14e continues to offer the same balanced theory approach as with previous editions. Students need an active and engaged learning classroom environment that brings personal meaning to course content and the instructor's course objectives. Schermerhorn communicates with students through rich, timely features and cases that bring management topics, theories, and concepts to life. The underlying goal is to translate foundation theories into lasting tools for students as they move beyond the classroom where their skills will be put to the test. |
| bloomberg data science internship: Data Pulse Matthew Marcetich, 2020-04-06 For many of us, machine learning and artificial intelligence (AI) are abstract terms that have become popularized for their roles in automation and robotics. In healthcare, uses of AI emerged several decades ago and have significantly expanded to the present day. Data Pulse presents a current snapshot of uses of AI in healthcare, including essential opportunities and challenges. The discussion explores its impact at many levels of the healthcare system, from researchers and entrepreneurs to physicians and patients. With easily understood language, Marcetich defines common terms of AI and shows us how various AI tools are influencing research, clinical, and administrative areas of healthcare. The reader will learn how current discoveries build on the decades of previous work in biology, robotics, and computer science, along with the unforeseen ethical and legal challenges they have provoked. Data Pulse is a story of important partnerships and strategies that are reshaping modern healthcare through AI. It will inform our view of the past, present, and rapidly evolving future of AI in healthcare. |
| bloomberg data science internship: 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. |
| bloomberg data science internship: Sex-Specific Reporting of Scientific Research Board on Population Health and Public Health Practice, Institute of Medicine, 2012-01-27 The number of women participating in clinical trials has increased during the last two decades, but women are still underrepresented in clinical trials in general. Some of the overall increase can be attributed to the greater number of women-only trials (of therapies for diseases that affect only women). Even when women are included in clinical trials, the results are often not analyzed separately by sex. On August 30, 2011, the Institute of Medicine (IOM) Board on Population Health and Public Health Practice hosted the workshop Sex-Specific Reporting of Scientific Research. The workshop explored the need for sex-specific reporting of scientific results; potential barriers and unintended consequences of sex-specific reporting of scientific results; experiences of journals that have implemented sex-specific requirements, including the challenges and benefits of such editorial policies; and steps to facilitate the reporting of sex-specific results. Presenters and participants included current and former editors of scientific journals, researchers, and scientists and policymakers from government, industry, and nonprofit organizations. Presentations and discussions highlighted the importance to both women and men of having sex-specific data, the problems with sample size and financial constraints for conducting the research, the appropriateness of sex-specific analyses, and the limitations of journal policies to change experimental designs. Sex-Specific Reporting of Scientific Research summarizes the presentations and discussions by the expert panelists during the IOM workshop. The workshop's first session focused on why sex-specific reporting is important. Panelists highlighted historical and current events that have hindered or helped to advance the study of women. In the next session, panelists in academe discussed the challenges of collecting, analyzing, and reporting sex-specific data from the researcher's perspective. That was followed by two panels of leading journal editors who shared their experiences in developing and implementing editorial policies and the implications of sex-specific reporting policies for journals. |
| bloomberg data science internship: 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.-- |
| bloomberg data science internship: Vault Guide to Human Resources Careers Susan D. Strayer, 2005 Get the inside scoop on exciting corporate anf entrepreneuership careers in this new Vault guide to human resources offering a detailed account of how HR fits in an organization, career paths, getting hired, education, salaries, professional development, typical HR functions and roles, and more. |
| bloomberg data science internship: Lion City Jeevan Vasagar, 2021-09-02 Lion City tells the extraordinary story of Singapore - the world's most successful city state. In 1965, Singapore's GDP per capita was on a par with Jordan. Now it has outstripped Japan. After the Second World War and a sudden rupture with newly formed Malaysia, Singapore found itself independent - and facing a crisis. It took the bloody-minded determination and vision of Lee Kuan Yew, its founding premier, to take a small island of diverse ethnic groups with a fragile economy and hostile neighbours and meld it into Asia's first globalised city. Lion City examines the different faces of Singaporean life - from education and health to art, politics and demographic challenges - and reveals how in just half a century, Lee forged a country with a buoyant economy and distinctive identity. It explores the darker side of how this was achieved too; through authoritarian control that led to it being dubbed 'Disneyland with the death penalty'. Jeevan Vasagar, former Singapore correspondent for the Financial Times, masterfully takes us through the intricate history, present and future of this unique diamond-shaped island one degree north of the equator, where new and old have remained connected. Lion City is a personal, insightful and essential guide to the city, and how its remarkable rise is shaping East Asia and the rest of the world. |
| bloomberg data science internship: Flash Boys: A Wall Street Revolt Michael Lewis, 2014-03-31 Argues that post-crisis Wall Street continues to be controlled by large banks and explains how a small, diverse group of Wall Street men have banded together to reform the financial markets. |
| bloomberg data science internship: Principles of Financial Engineering Robert Kosowski, Salih N. Neftci, 2014-11-26 Principles of Financial Engineering, Third Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the engineering elements of financial engineering instead of the mathematics underlying it. It shows how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in relation to other instruments, the financial markets, and financial market practices. This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing. A solutions manual enhances the text by presenting additional cases and solutions to exercises. This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs. - The Third Edition presents three new chapters on financial engineering in commodity markets, financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles and how to incorporate counterparty risk into derivatives pricing, among other topics - Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act - The solutions manual enhances the text by presenting additional cases and solutions to exercises |
| bloomberg data science internship: Trust and Confidence at the Interfaces of the Life Sciences and Society National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Earth and Life Studies, Board on Life Sciences, Roundtable on Public Interfaces of the Life Sciences, 2015-09-23 Does the public trust science? Scientists? Scientific organizations? What roles do trust and the lack of trust play in public debates about how science can be used to address such societal concerns as childhood vaccination, cancer screening, and a warming planet? What could happen if social trust in science or scientists faded? These types of questions led the Roundtable on Public Interfaces of the Life Sciences of the National Academies of Sciences, Engineering, and Medicine to convene a 2-day workshop on May 5-6, 2015 on public trust in science. This report explores empirical evidence on public opinion and attitudes toward life sciences as they relate to societal issues, whether and how contentious debate about select life science topics mediates trust, and the roles that scientists, business, media, community groups, and other stakeholders play in creating and maintaining public confidence in life sciences. Does the Public Trust Science? Trust and Confidence at the Interfaces of the Life Sciences and Society highlights research on the elements of trust and how to build, mend, or maintain trust; and examine best practices in the context of scientist engagement with lay audiences around social issues. |
| bloomberg data science internship: Social Network Analysis with Applications Ian McCulloh, Helen Armstrong, Anthony Johnson, 2013-07-01 A comprehensive introduction to social network analysis that hones in on basic centrality measures, social links, subgroup analysis, data sources, and more Written by military, industry, and business professionals, this book introduces readers to social network analysis, the new and emerging topic that has recently become of significant use for industry, management, law enforcement, and military practitioners for identifying both vulnerabilities and opportunities in collaborative networked organizations. Focusing on models and methods for the analysis of organizational risk, Social Network Analysis with Applications provides easily accessible, yet comprehensive coverage of network basics, centrality measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for social network measures are also included. Along with practice problems and exercises, this easily accessible book covers: The basic concepts of networks, nodes, links, adjacency matrices, and graphs Mathematical calculations and exercises for centrality, the basic measures of degree, betweenness, closeness, and eigenvector centralities Graph-level measures, with a special focus on both the visual and numerical analysis of networks Matrix algebra, outlining basic concepts such as matrix addition, subtraction, multiplication, and transpose and inverse calculations in linear algebra that are useful for developing networks from relational data Meta-networks and relational algebra, social links, diffusion through networks, subgroup analysis, and more An excellent resource for practitioners in industry, management, law enforcement, and military intelligence who wish to learn and apply social network analysis to their respective fields, Social Network Analysis with Applications is also an ideal text for upper-level undergraduate and graduate level courses and workshops on the subject. |
| bloomberg data science internship: 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. |
Wait... what? Bloomberg banned DuraCoat from NY in 2006.
Apr 18, 2013 · At a press conference (pdf) in June of 2006, Mayor Bloomberg had this to day about Lauer Custom Weaponry and DuraCoat paints: As part of a larger gun control package, …
Bloomberg wants our flintlocks as well. | Georgia Firearm Forums ...
Jul 30, 2009 · Bloomberg wants our flintlocks as well. Jump to Latest 1K views 14 replies 13 participants last post by DecepticonDon Aug 5, 2009
Economy May Not Be Where We Have Been Told
Aug 20, 2024 · THAT'S a pretty big adjustment . . . We won't know who is correct, however, until 2025.
bloomberg on daily show | Georgia Firearm Forums - Georgia …
Aug 27, 2010 · I'm posting from my phone so I can't embed a youtube video but bloomberg was on the daily show talking about the mosque being built and the debate around it. He says he …
Wikileaks and Julian Assange | Page 2 - Georgia Packing
Nov 11, 2010 · Moe's article is also a more in-depth look at the same issue as the Bloomberg article above. If you think there was no violence before guns, remember your size and fighting …
LEOSA and Ga Blue Cards - Georgia Packing
Apr 28, 2014 · Ok, the guys we saw at the Bloomberg rally at the Capitol last year showed up at the NRA convention guarding the MDA protesters. I am now very curious if we figured out if …
Prosecute Straw Purchase? | Georgia Firearm Forums - Georgia …
Jul 16, 2007 · In the News ... Prosecute Straw Purchase?
Read CNN . com? | Georgia Firearm Forums - Georgia Packing
Sep 29, 2024 · They are looking to put up a paywall. Nemo https://archive.is/zXBAf Coming Up Next on CNN: A Paywall CNN will begin experimenting in October with a subscription model, …
Enthusiasm by gun-ban organizations at an all-time low
Nov 8, 2024 · Everything depends on the billionaires bankrolling the organizations. No money, no enthusiasm. Right now, the money isn't returning anything on investment, so they are laying …
Computer Kill Switches | Georgia Firearm Forums - Georgia Packing
May 23, 2024 · Off Topic Lounge ... Computer Kill Switches
Wait... what? Bloomberg banned DuraCoat from NY in 2006.
Apr 18, 2013 · At a press conference (pdf) in June of 2006, Mayor Bloomberg had this to day about Lauer Custom Weaponry and DuraCoat paints: As part of a larger gun control package, …
Bloomberg wants our flintlocks as well. | Georgia Firearm Forums ...
Jul 30, 2009 · Bloomberg wants our flintlocks as well. Jump to Latest 1K views 14 replies 13 participants last post by DecepticonDon Aug 5, 2009
Economy May Not Be Where We Have Been Told
Aug 20, 2024 · THAT'S a pretty big adjustment . . . We won't know who is correct, however, until 2025.
bloomberg on daily show | Georgia Firearm Forums - Georgia …
Aug 27, 2010 · I'm posting from my phone so I can't embed a youtube video but bloomberg was on the daily show talking about the mosque being built and the debate around it. He says he …
Wikileaks and Julian Assange | Page 2 - Georgia Packing
Nov 11, 2010 · Moe's article is also a more in-depth look at the same issue as the Bloomberg article above. If you think there was no violence before guns, remember your size and fighting …
LEOSA and Ga Blue Cards - Georgia Packing
Apr 28, 2014 · Ok, the guys we saw at the Bloomberg rally at the Capitol last year showed up at the NRA convention guarding the MDA protesters. I am now very curious if we figured out if …
Prosecute Straw Purchase? | Georgia Firearm Forums - Georgia …
Jul 16, 2007 · In the News ... Prosecute Straw Purchase?
Read CNN . com? | Georgia Firearm Forums - Georgia Packing
Sep 29, 2024 · They are looking to put up a paywall. Nemo https://archive.is/zXBAf Coming Up Next on CNN: A Paywall CNN will begin experimenting in October with a subscription model, …
Enthusiasm by gun-ban organizations at an all-time low
Nov 8, 2024 · Everything depends on the billionaires bankrolling the organizations. No money, no enthusiasm. Right now, the money isn't returning anything on investment, so they are laying …
Computer Kill Switches | Georgia Firearm Forums - Georgia Packing
May 23, 2024 · Off Topic Lounge ... Computer Kill Switches
