Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
Download or read book Data Analysis for Business Economics and Policy written by Gábor Békés and published by Cambridge University Press. This book was released on 2021-05-06 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Download or read book Analytics of Life written by Mert Damlapinar and published by NLITX. This book was released on 2019-11-11 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses. Questions you can find answers* * What is artificial intelligence (AI)? * What is the difference between AI, machine learning and data analytics? * Which jobs AI will replace, which jobs are safe from data analytics revolution? * Why data analytics is the best career move? * How can I apply data analytics in my job or small business? Who is this book for? * Managers and business professionals * Marketers, product managers, and business strategists * Entrepreneurs, founders and startups team members * Consultants, advisors and educators * Almost anybody who has an interest in the future According to an article by Cade Metz in The New York Times, "Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology." Oxford University professor Nick Bostrom argues that if machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. MIT professor Max Tegmark describes and illuminates the recent, ground-breaking advances in Artificial Intelligence and how it might overtake human intelligence. As Oxford University economist Daniel Susskind points out, technological progress could bring about unprecedented prosperity, solving one of humanity's oldest problems: how to make sure that everyone has enough to live on. Distinguished AI researcher and professor of computer science at UC Berkeley, Russell Stuart suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history.
Download or read book Recurrent Events Data Analysis for Product Repairs Disease Recurrences and Other Applications written by Wayne B. Nelson and published by SIAM. This book was released on 2003-01-01 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survival data consist of a single event for each population unit, namely, end of life, which is modeled with a life distribution. However, many applications involve repeated-events data, where a unit may accumulate numerous events over time. This applied book provides practitioners with basic nonparametric methods for such data.
Download or read book Matters of Life and Data written by Charles D. Morgan and published by Morgan James Publishing. This book was released on 2015-01-20 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thanks to Edward Snowden and the N.S.A., “Big Data” is a hot---and controversial---topic these days. In Charles D. Morgan’s lively memoir, "Matters of Life and Data", he shows that data gathering itself is neither good nor bad---it’s how it’s used that matters. But Big Data isn’t the whole story here---Morgan is also a champion race car driver, a jet pilot, and an all-around gadget-geek-turned-business-visionary. Life is about solving the problems we’re faced with, and Charles Morgan’s life has been one of trial, error, and great achievement. His story will inspire all who read it.
Download or read book The Real Work of Data Science written by Ron S. Kenett and published by John Wiley & Sons. This book was released on 2019-04-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource." "These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it." —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy "I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data." —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University "Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers." —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University
Download or read book Don t Trust Your Gut written by Seth Stephens-Davidowitz and published by HarperCollins. This book was released on 2022-05-10 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Seth Stephens-Davidowitz is more than a data scientist. He is a prophet for how to use the data revolution to reimagine your life. Don’t Trust Your Gut is a tour de force—an intoxicating blend of analysis, humor, and humanity.” — Daniel H. Pink, #1 New York Times bestselling author of When, Drive, and To Sell Is Human Big decisions are hard. We consult friends and family, make sense of confusing “expert” advice online, maybe we read a self-help book to guide us. In the end, we usually just do what feels right, pursuing high stakes self-improvement—such as who we marry, how to date, where to live, what makes us happy—based solely on what our gut instinct tells us. But what if our gut is wrong? Biased, unpredictable, and misinformed, our gut, it turns out, is not all that reliable. And data can prove this. In Don’t Trust Your Gut, economist, former Google data scientist, and New York Times bestselling author Seth Stephens-Davidowitz reveals just how wrong we really are when it comes to improving our own lives. In the past decade, scholars have mined enormous datasets to find remarkable new approaches to life’s biggest self-help puzzles. Data from hundreds of thousands of dating profiles have revealed surprising successful strategies to get a date; data from hundreds of millions of tax records have uncovered the best places to raise children; data from millions of career trajectories have found previously unknown reasons why some rise to the top. Telling fascinating, unexpected stories with these numbers and the latest big data research, Stephens-Davidowitz exposes that, while we often think we know how to better ourselves, the numbers disagree. Hard facts and figures consistently contradict our instincts and demonstrate self-help that actually works—whether it involves the best time in life to start a business or how happy it actually makes us to skip a friend’s birthday party for a night of Netflix on the couch. From the boring careers that produce the most wealth, to the old-school, data-backed relationship advice so well-worn it’s become a literal joke, he unearths the startling conclusions that the right data can teach us about who we are and what will make our lives better. Lively, engrossing, and provocative, the end result opens up a new world of self-improvement made possible with massive troves of data. Packed with fresh, entertaining insights, Don’t Trust Your Gut redefines how to tackle our most consequential choices, one that hacks the market inefficiencies of life and leads us to make smarter decisions about how to improve our lives. Because in the end, the numbers don’t lie.
Download or read book The Costs of Connection written by Nick Couldry and published by Stanford University Press. This book was released on 2019-08-20 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Just about any social need is now met with an opportunity to "connect" through digital means. But this convenience is not free—it is purchased with vast amounts of personal data transferred through shadowy backchannels to corporations using it to generate profit. The Costs of Connection uncovers this process, this "data colonialism," and its designs for controlling our lives—our ways of knowing; our means of production; our political participation. Colonialism might seem like a thing of the past, but this book shows that the historic appropriation of land, bodies, and natural resources is mirrored today in this new era of pervasive datafication. Apps, platforms, and smart objects capture and translate our lives into data, and then extract information that is fed into capitalist enterprises and sold back to us. The authors argue that this development foreshadows the creation of a new social order emerging globally—and it must be challenged. Confronting the alarming degree of surveillance already tolerated, they offer a stirring call to decolonize the internet and emancipate our desire for connection.
Download or read book Living in Data written by Jer Thorp and published by MCD. This book was released on 2021-05-04 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.” To live in data in the twenty-first century is to be incessantly extracted from, classified and categorized, statisti-fied, sold, and surveilled. Data—our data—is mined and processed for profit, power, and political gain. In Living in Data, Thorp asks a crucial question of our time: How do we stop passively inhabiting data, and instead become active citizens of it? Threading a data story through hippo attacks, glaciers, and school gymnasiums, around colossal rice piles, and over active minefields, Living in Data reminds us that the future of data is still wide open, that there are ways to transcend facts and figures and to find more visceral ways to engage with data, that there are always new stories to be told about how data can be used. Punctuated with Thorp's original and informative illustrations, Living in Data not only redefines what data is, but reimagines who gets to speak its language and how to use its power to create a more just and democratic future. Timely and inspiring, Living in Data gives us a much-needed path forward.
Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2015-10-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Download or read book Life Is Better When Data Works written by Data Science Notebook and published by . This book was released on 2019-11-28 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect Gift For Computer Geek or Data Science related peoples. There is 120 pages in this book and the size of this book is 6*9 inch. Those who love and like works with data, they can note necessary information in this book. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field.
Download or read book Expecting Better written by Emily Oster and published by Penguin. This book was released on 2014-06-24 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Emily Oster is the non-judgmental girlfriend holding our hand and guiding us through pregnancy and motherhood. She has done the work to get us the hard facts in a soft, understandable way.” —Amy Schumer What to Expect When You're Expecting meets Freakonomics: an award-winning economist and author of Cribsheet, The Family Firm, and The Unexpected disproves standard recommendations about pregnancy to empower women while they're expecting. Pregnancy—unquestionably one of the most profound, meaningful experiences of adulthood—can reduce otherwise intelligent women to, well, babies. Pregnant women are told to avoid cold cuts, sushi, alcohol, and coffee without ever being told why these are forbidden. Rules for prenatal testing are similarly unexplained. Moms-to-be desperately want a resource that empowers them to make their own right choices. When award-winning economist Emily Oster was a mom-to-be herself, she evaluated the data behind the accepted rules of pregnancy, and discovered that most are often misguided and some are just flat-out wrong. Debunking myths and explaining everything from the real effects of caffeine to the surprising dangers of gardening, Expecting Better is the book for every pregnant woman who wants to enjoy a healthy and relaxed pregnancy—and the occasional glass of wine.
Download or read book Insights from Data with R written by Owen L. Petchey and published by Oxford University Press. This book was released on 2021-02-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining insights from data is a fundamental skill for science as well as many other fields and often overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with data and unlock essential information (insights) from data summaries and visualisations. Based on a proven and successful undergraduate course structure, it charts the journey from initial question, through data preparation, import, cleaning, tidying, checking, double-checking, manipulation, and final visualization. These basic skills are sufficient to gain useful insights from data without the need for any statistics; there is enough to learn about even before delving into that world! The book focuses on gaining insights from data via visualisations and summaries. The journey from raw data to insights is clearly illustrated by means of a comprehensive Workflow Demonstration in the book featuring data collected in a real-life study and applicable to many types of question, study, and data. Along the way, readers discover how to efficiently and intuitively use R, RStudio, and tidyverse software, learning from the detailed descriptions of each step in the instructional journey to progress from the raw data to creating elegant and informative visualisations that reveal answers to the initial questions posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their instructors in the life and environmental sciences seeking to harness the power of R, RStudio, and tidyverse software to master the valuable and prerequisite skills of working with and gaining insights from data.
Download or read book Data Wrangling with Python written by Jacqueline Kazil and published by "O'Reilly Media, Inc.". This book was released on 2016-02-04 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process
Download or read book Total Leadership written by Stewart Friedman and published by Harvard Business Review Press. This book was released on 2014-08-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: National Bestseller “Students talk about Stewart D. Friedman, a management professor at the Wharton School, with a mixture of earnest admiration, gratitude and rock star adoration.” —New York Times In this national bestseller, Stew Friedman gives you the tools you need to achieve “four-way wins”—improved performance in all domains of life: work, home, community, and self. Friedman, celebrated professor and founding director of the Wharton School’s Leadership Program and its Work/Life Integration Project, explains how three simple yet potent principles—be real, be whole, and be innovative—can help you, no matter what your age or what you do for work, become a better leader and have a richer life. In this engaging adaptation of his hands-on Wharton course, he offers step-by-step instruction to help you create positive, sustainable change in your world. This proven, programmatic method teaches you how to produce stronger results at work, find clearer purpose, feel less stressed, strengthen connections with the people who matter most to you, contribute further to important causes, and gain greater support for your vision of your future. If you’re ready to learn to lead in all parts of your life—this is the book for you. For a full array of Total Leadership tips and tools, visit totalleadership.org. Also look for Stew Friedman’s book, Leading the Life You Want, which builds on Total Leadership by profiling well-known leaders—from Bruce Springsteen to Michelle Obama—who exemplify its principles and demonstrate how success in your work is accomplished not at the expense of the rest of your life, but as the result of meaningful attachments to all its parts.
Download or read book Statistical Computing with R written by Maria L. Rizzo and published by CRC Press. This book was released on 2007-11-15 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona
Download or read book Life Is Better When Data Works written by Daily Planner 2020 and published by . This book was released on 2019-11-28 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect Gift For Computer Geek or Data Science related peoples. There is 366 pages in this book and the size of this book is 8.5*11 inch. Those who love and like works with data, they can note necessary information in this book and they can plan their task according to the date. It has a very good looking message designed on the cover, so that is gonna love anyone in the data science field. It's start from January 01, 2020 and ends at December 31, 2021.
