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| blackstone data science analyst: Data Science and Innovations for Intelligent Systems Kavita Taneja, Harmunish Taneja, Kuldeep Kumar, Arvind Selwal, Eng Lieh Ouh, 2021-09-30 Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science. |
| blackstone data science analyst: Data Analysis with R, Second Edition Anthony Fischetti, 2018-03-28 Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical programming language Learn how to implement applied statistics using practical use-cases Use popular R packages to work with unstructured and structured data Book Description Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. What you will learn Gain a thorough understanding of statistical reasoning and sampling theory Employ hypothesis testing to draw inferences from your data Learn Bayesian methods for estimating parameters Train regression, classification, and time series models Handle missing data gracefully using multiple imputation Identify and manage problematic data points Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization Put best practices into effect to make your job easier and facilitate reproducibility Who this book is for Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book. |
| blackstone data science analyst: Three Approaches to Data Analysis Igor Chikalov, Vadim Lozin, Irina Lozina, Mikhail Moshkov, Hung Son Nguyen, Andrzej Skowron, Beata Zielosko, 2012-07-28 In this book, the following three approaches to data analysis are presented: - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, - Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. |
| blackstone data science analyst: Best Practices for Equity Research (PB) James Valentine, 2011-01-07 The first real-world guide for training equity research analysts—from a Morgan Stanley veteran Addresses the dearth of practical training materials for research analysts in the U.S. and globally Valentine managed a department of 70 analysts and 100 associates at Morgan Stanley and developed new programs for over 500 employees around the globe He will promote the book through his company's extensive outreach capabilities |
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| blackstone data science analyst: What It Takes Stephen A. Schwarzman, 2019-09-17 NEW YORK TIMES BESTSELLER From Blackstone chairman, CEO, and co-founder Stephen A. Schwarzman, a long-awaited book that uses impactful episodes from Schwarzman's life to show readers how to build, transform, and lead thriving organizations. Whether you are a student, entrepreneur, philanthropist, executive, or simply someone looking for ways to maximize your potential, the same lessons apply. People know who Stephen Schwarzman is—at least they think they do. He’s the man who took $400,000 and co-founded Blackstone, the investment firm that manages over $500 billion (as of January 2019). He’s the CEO whose views are sought by heads of state. He’s the billionaire philanthropist who founded Schwarzman Scholars, this century’s version of the Rhodes Scholarship, in China. But behind these achievements is a man who has spent his life learning and reflecting on what it takes to achieve excellence, make an impact, and live a life of consequence. Folding handkerchiefs in his father’s linen shop, Schwarzman dreamed of a larger life, filled with purpose and adventure. His grades and athleticism got him into Yale. After starting his career in finance with a short stint at a financial firm called DLJ, Schwarzman began working at Lehman Brothers where he ascended to run the mergers and acquisitions practice. He eventually partnered with his mentor and friend Pete Peterson to found Blackstone, vowing to create a new and different kind of financial institution. Building Blackstone into the leading global financial institution it is today didn’t come easy. Schwarzman focused intensely on culture, hiring great talent, and establishing processes that allow the firm to systematically analyze and evaluate risk. Schwarzman’s simple mantra “don’t lose money” has helped Blackstone become a leading private equity and real estate investor, and manager of alternative assets for institutional investors globally. Both he and the firm are known for the rigor of their investment process, their innovative approach to deal making, the diversification of their business lines, and a conviction to be the best at everything they do. Schwarzman is also an active philanthropist, having given away more than a billion dollars. In philanthropy, as in business, he is drawn to situations where his capital and energy can be applied to drive transformative solutions and change paradigms, notably in education. He uses the skills learned over a lifetime in finance to design, establish, and support impactful and innovative organizations and initiatives. His gifts have ranged from creating a new College of Computing at MIT for the study of artificial intelligence, to establishing a first-of-its-kind student and performing arts center at Yale, to enabling the renovation of the iconic New York Public Library, to founding the Schwarzman Scholars fellowship program at Tsinghua University in Beijing—the single largest philanthropic effort in China’s history from international donors. Schwarzman’s story is an empowering, entertaining, and informative guide for anyone striving for greater personal impact. From deal making to investing, leadership to entrepreneurship, philanthropy to diplomacy, Schwarzman has lessons for how to think about ambition and scale, risk and opportunities, and how to achieve success through the relentless pursuit of excellence. Schwarzman not only offers readers a thoughtful reflection on all his own experiences, but in doing so provides a practical blueprint for success. |
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| blackstone data science analyst: InfoWorld , 2002-10-07 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
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| blackstone data science analyst: Psychology of Intelligence Analysis Richards J Heuer, 2020-03-05 In this seminal work, published by the C.I.A. itself, produced by Intelligence veteran Richards Heuer discusses three pivotal points. First, human minds are ill-equipped (poorly wired) to cope effectively with both inherent and induced uncertainty. Second, increased knowledge of our inherent biases tends to be of little assistance to the analyst. And lastly, tools and techniques that apply higher levels of critical thinking can substantially improve analysis on complex problems. |
| blackstone data science analyst: Research Programs in the Medical Sciences Jaques Cattell Press, 1981 |
| blackstone data science analyst: [American men and women of science / A Biographical directory of today's leaders in physical, biological and related sciences ] ; American men & women of science. A Biographical directory of today's leaders in physical, biological and related sciences. 1998/99,1 , 1998 |
| blackstone data science analyst: Computerworld , 2001-04-09 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
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| blackstone data science analyst: High-Performance Web Databases Sanjiv Purba, 2000-09-21 As Web-based systems and e-commerce carry businesses into the 21st century, databases are becoming workhorses that shoulder each and every online transaction. For organizations to have effective 24/7 Web operations, they need powerhouse databases that deliver at peak performance-all the time. High Performance Web Databases: Design, Development, and |
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| blackstone data science analyst: Popular Mechanics , 1944-10 Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle. |
| blackstone data science analyst: Handbook on Public and Private Security Erwin Blackstone, Simon Hakim, Brian J. Meehan, 2023-11-08 This Handbook discusses the use of public-private partnerships in law enforcement and security. Written by international experts across multiple disciplines, chapters include case studies and cross-sectional industry-wide studies of private security performance in comparison with public police and collaborated experiences of the two sectors. The Handbook uses existing experiences and public economics to suggest how to improve security and social welfare through greater competition and cooperation between public and private security. This volume provides an integrated framework to assist policymakers in both public and private agencies. This Handbook will be an important reference for scholars in public economics, public administration, criminology, and criminal justice, as well as professionals and policymakers in the public and private sectors. |
| blackstone data science analyst: The Culture of Women in Tech Mariann Hardey, 2019-11-11 Including a series of commentaries derived from research undertaken by the author with women working in tech clusters located within 'tech cities' in the UK, USA and East Asia regions, this book exposes the serious 'problem' of women's position in the tech industry and helps to find solutions and ways forward. |
| blackstone data science analyst: The SAGE Handbook of Qualitative Research in Psychology Carla Willig, Wendy Stainton Rogers, 2017-03-31 One of our bestselling handbooks, The SAGE Handbook of Qualitative Research in Psychology, is back for a second edition. Since the first edition qualitative research in psychology has been transformed. Responding to this, existing chapters have been updated, and three new chapters introduced on Thematic Analysis, Interpretation and Netnography. With a focus on methodological progress throughout, the chapters are organised into three sections: Section One: Methods Section Two: Perspectives and Techniques Section Three: Applications In the field of psychology and beyond, this handbook will constitute a valuable resource for both experienced qualitative researchers and novices for many years to come. |
| blackstone data science analyst: Venture Capital and the Finance of Innovation Andrew Metrick, Ayako Yasuda, 2011-06-15 This useful guide walks venture capitalists through the principles of finance and the financial models that underlie venture capital decisions. It presents a new unified treatment of investment decision making and mark-to-market valuation. The discussions of risk-return and cost-of-capital calculations have been updated with the latest information. The most current industry data is included to demonstrate large changes in venture capital investments since 1999. The coverage of the real-options methodology has also been streamlined and includes new connections to venture capital valuation. In addition, venture capitalists will find revised information on the reality-check valuation model to allow for greater flexibility in growth assumptions. |
| blackstone data science analyst: ISIS Propaganda Stephane Baele, Katharine A. Boyd, Travis G. Coan, 2020 This book offers a comprehensive overview and analysis of the Islamic State's use of propaganda. Combining a range of different theoretical perspectives from across the social sciences, and using rigorous methods, the authors trace the origins of the Islamic State's message, laying bare the strategic logic guiding its evolution, examining each of its multi-media components, and showing how these elements work together to radicalize audiences' worldviews. This volume highlights the challenges that this sort of full-spectrum propaganda raises for counter terrorism forces. It is not only a one-stop resource for any analyst of IS and Salafi-jihadism, but also a rich contribution to the study of text and visual propaganda, radicalization and political violence, and international security. |
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| blackstone data science analyst: The 2-Hour Job Search Steve Dalton, 2012-03-06 A job-search manual that gives career seekers a systematic, tech-savvy formula to efficiently and effectively target potential employers and secure the essential first interview. The 2-Hour Job Search shows job-seekers how to work smarter (and faster) to secure first interviews. Through a prescriptive approach, Dalton explains how to wade through the Internet’s sea of information and create a job-search system that relies on mainstream technology such as Excel, Google, LinkedIn, and alumni databases to create a list of target employers, contact them, and then secure an interview—with only two hours of effort. Avoiding vague tips like “leverage your contacts,” Dalton tells job-hunters exactly what to do and how to do it. This empowering book focuses on the critical middle phase of the job search and helps readers bring organization to what is all too often an ineffectual and frustrating process. |
| blackstone data science analyst: The National Job Bank , 2001 |
| blackstone data science analyst: Propensity Score Analysis Shenyang Guo, Mark W. Fraser, 2015 Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems. |
| blackstone data science analyst: Who's who in Technology Today: Chemistry and biotechnology , 1984 |
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