Doing Data Science: Straight Talk from the Frontline by Cathy O'Neill (English)

Description: Doing Data Science by Cathy O'Neill Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field thats so clouded in hype? This insightful book tells you what you need to know. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, youll get material from Columbia Universitys "Introduction to Data Science" class in an easy-to-follow format. Each chapter-long lecture features a guest data scientist from a prominent company such as Google, Microsoft, or eBay teaching new algorithms, methods, or models by sharing case studies and actual code they use. Youll learn whats involved in the lives of data scientists and be able to use the techniques they present. Guest lectures focus on topics such as: Machine learning and data mining algorithms Statistical models and methods Prediction vs. description Exploratory data analysis Communication and visualization Data processing Big data Programming Ethics Asking good questions If youre familiar with linear algebra, probability and statistics, and have some programming experience, this book will get you started with data science. Doing Data Science is collaboration between course instructor Rachel Schutt (also employed by Google) and data science consultant Cathy ONeil (former quantitative analyst for D.E. Shaw) who attended and blogged about the course. Author Biography Cathy ONeil earned a Ph.D. in math from Harvard, was postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She is currently a data scientist on the New York start-up scene, writes a blog at mathbabe.org, and is involved with Occupy Wall Street. Rachel Schutt is a Senior Statistician at Google Research in the New York office and adjunct assistant professor at Columbia University. She earned a PhD from Columbia University in statistics, and masters degrees in mathematics and operations research from the Courant Institute and Stanford University, respectively. Her statistical research interests include modeling and analyzing social networks, epidemiology, hierarchical modeling and Bayesian statistics. Her education-related research interests include curriculum design. Table of Contents Dedication;Preface; Motivation; Origins of the Class; Origins of the Book; What to Expect from This Book; How This Book Is Organized; How to Read This Book; How Code Is Used in This Book; Who This Book Is For; Prerequisites; Supplemental Reading; About the Contributors; Conventions Used in This Book; Using Code Examples; Safari Review "I enjoyed Rachel and Cathys book, its readable, informative, and like no other book Ive read on the topic of statistics or data science." --Andrew Gelman Professor of statistics and political science, and director of the Applied Statistics Center at Columbia University "I got a lot out of Doing Data Science, finding the chapter organization on business problem specification, analytics formulation, data access/wrangling, and computer code to be very helpful in understanding DS solutions."--Steve Miller Co-founder, OpenBI, LLC, a Chicago-based business intelligence services firm Long Description Now that answering complex and compelling questions with data can make the difference in an election or a business model, data science is an attractive discipline. But how can you learn this wide-ranging, interdisciplinary field? With this book, youll get material from Columbia Universitys "Introduction to Data Science" class in an easy-to-follow format. Each chapter-long lecture features a guest data scientist from a prominent company such as Google, Microsoft, or eBay teaching new algorithms, methods, or models by sharing case studies and actual code they use. Youll learn whats involved in the lives of data scientists and be able to use the techniques they present. Guest lectures focus on topics such as: Machine learning and data mining algorithms Statistical models and methods Prediction vs. description Exploratory data analysis Communication and visualization Data processing Big data Programming Ethics Asking good questions If youre familiar with linear algebra, probability and statistics, and have some programming experience, this book will get you started with data science. Doing Data Science is collaboration between course instructor Rachel Schutt (also employed by Google) and data science consultant Cathy ONeil (former quantitative analyst for D.E. Shaw) who attended and blogged about the course. Review Quote "I enjoyed Rachel and Cathys book, its readable, informative, and like no other book Ive read on the topic of statistics or data science." Details ISBN1449358659 Short Title DOING DATA SCIENCE Publisher OReilly Media Language English ISBN-10 1449358659 ISBN-13 9781449358655 Media Book Format Paperback Year 2013 Place of Publication Sebastopol Country of Publication United States DEWEY 006.312 Illustrations illustrations Subtitle Straight Talk from the Frontline AU Release Date 2013-10-18 NZ Release Date 2013-10-18 Imprint OReilly Media Birth 1825 Death 1894 Affiliation Reader Emeritus in Law, University of Cambridge Position Reader Emeritus in Law Qualifications PH D UK Release Date 2013-11-19 Pages 300 Audience Tertiary & Higher Education Publication Date 2013-12-03 US Release Date 2013-12-03 Author Cathy ONeill We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:78116486;

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