Her approach was dramatic and effective: Simply painting a part of the street to make it into a plaza or bus lane not only made the street safer, but it also lessened congestion and increased foot traffic, which improved the bottom line of businesses. Real-life experience confirmed that if you know how to read the street, you can make it function better by not totally reconstructing it but by reallocating the space that’s already there.      Breaking the street into its component parts, Streetfight demonstrates, with step-by-step visuals, how to rewrite the underlying “source code” of a street, with pointers on how to add protected bike paths, improve crosswalk space, and provide visual cues to reduce speeding. Achieving such a radical overhaul wasn’t easy, and Streetfight pulls back the curtain on the battles Sadik-Khan won to make her approach work. She includes examples of how this new way to read the streets has already made its way around the world, from pocket parks in Mexico City and Los Angeles to more pedestrian-friendly streets in Auckland and Buenos Aires, and innovative bike-lane designs and plazas in Austin, Indianapolis, and San Francisco. Many are inspired by the changes taking place in New York City and are based on the same techniques. Streetfight deconstructs, reassembles, and reinvents the street, inviting readers to see it in ways they never imagined.

    "This book is a guide to how we do product development at Basecamp. It’s also a toolbox full of techniques that you can apply in your own way to your own process.Whether you’re a founder, CTO, product manager, designer, or developer, you’re probably here because of some common challenges that all software companies have to face."

    In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

    Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not.Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data.The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations.In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data experts--and when you should say, Wait . . . what? He delves deeply into a wide range of topics, offering the answers to important questions, such as:How does the college ranking system really work?Can an obesity measure solve America's biggest healthcare crisis?Should you trust current unemployment data issued by the government?How do you improve your fantasy sports team?Should you worry about businesses that track your data?Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there.Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up.Praise for NumbersenseNumbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned--in short, a great way to acquire your own sense of numbers!Thomas H. Davenport, coauthor of Competing on Analytics and President's Distinguished Professor of IT and Management, Babson CollegeKaiser's accessible business book will blow your mind like no other. You'll be smarter, and you won't even realize it. Buy. It. Now.Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning.John Sall, Executive Vice President, SAS InstituteKaiser Fung breaks the bad news--a ton more data is no panacea--but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn't an advanced degree, nor is it common sense. You need Numbersense.Eric Siegel, founder, Predictive Analytics World, and author, Predictive AnalyticsI laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended! Tom Peters, author of In Search of Excellence

    Underlying this trend is a single idea: the belief that our existence is understandable through computation, and more data is enough to help us build a better world.   In actual fact, we are lost in a sea of information, increasingly divided by fundamentalism, simplistic narratives, conspiracy theories, and post-factual politics. Meanwhile, those in power use our lack of understanding to further their own interests. Despite the accessibility of information, we’re living in a new Dark Age.   From rogue financial systems to shopping algorithms, from artificial intelligence to state secrecy, we no longer understand how our world is governed or presented to us. The media is filled with unverifiable speculation, much of it generated by anonymous software, while companies dominate their employees through surveillance and the threat of automation.   In his brilliant new work, leading artist and writer James Bridle excavates the limits of technology and how it aids our understanding of the world. Surveying the history of art, technology, and information systems, he explores the dark clouds that gather over our dreams of the digital sublime.

    But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society.In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color.Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance - operating as a source for email, a major vehicle for primary and secondary school learning, and beyond - understanding and reversing these disquieting trends and discriminatory practices is of utmost importance.An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

    This has created a peculiar situation in which liberalism’s proponents tend to forget that it is an ideology and not the natural end-state of human political evolution. As Patrick Deneen argues in this provocative book, liberalism is built on a foundation of contradictions: it trumpets equal rights while fostering incomparable material inequality; its legitimacy rests on consent, yet it discourages civic commitments in favor of privatism; and in its pursuit of individual autonomy, it has given rise to the most far-reaching, comprehensive state system in human history. Here, Deneen offers an astringent warning that the centripetal forces now at work on our political culture are not superficial flaws but inherent features of a system whose success is generating its own failure.

    It covers the historic 2008 Presidential campaign and election while looking ahead to assess what the shifting political winds have in store for the future of the major political parties and Americans' political views.

    The first edition contained analyses of Institutional Rational Choice (Ostrom), Multiple Streams (Zahariadis), Punctuated Equilibrium (Jones et al.), Advocacy Coalition Framework (Sabatier and Jenkins-Smith), and Policy Diffusion (Berry and Berry). The second edition revises these and adds new chapters on Social Construction and Policy Design (Schneider et al.) and Policy Networks (Adam and Kriesi). It also contains a much more serious analysis of the European literature relevant to each of the frameworks. Finally, the new edition contains a revised chapter by Edella Schlager, presenting a comparative analysis and evaluation of the relevant frameworks, and a concluding chapter by the editor suggesting a number of strategies for improving the state of theorizing in this field.

    J. O'Rourke's savagely funny and national best-seller Parliament of Whores has become a classic in understanding the workings of the American political system. Originally written at the end of the Reagan era, this new edition includes an extensive foreword by the renowned political writer Andrew Ferguson -- showing us that although the names and the players have changed, the game is still the same. Parliament of Whores is an exuberant, broken-field run through the ethical foibles, pork-barrel flimflam, and bureaucratic bullrorfle inside the Beltway that leaves no sacred cow unskewered and no politically correct sensitivities unscorched.

    We normally think of government as something only the state does, yet many of us are governed far more--and far more obtrusively--by the private government of the workplace. In this provocative and compelling book, Elizabeth Anderson argues that the failure to see this stems from long-standing confusions. These confusions explain why, despite all evidence to the contrary, we still talk as if free markets make workers free--and why so many employers advocate less government even while they act as dictators in their businesses.In many workplaces, employers minutely regulate workers' speech, clothing, and manners, leaving them with little privacy and few other rights. And employers often extend their authority to workers' off-duty lives. Workers can be fired for their political speech, recreational activities, diet, and almost anything else employers care to govern. Yet we continue to talk as if early advocates of market society--from John Locke and Adam Smith to Thomas Paine and Abraham Lincoln--were right when they argued that it would free workers from oppressive authorities. That dream was shattered by the Industrial Revolution, but the myth endures.Private Government offers a better way to talk about the workplace, opening up space for discovering how workers can enjoy real freedom.Based on the prestigious Tanner Lectures delivered at Princeton University's Center for Human Values, Private Government is edited and introduced by Stephen Macedo and includes commentary by cultural critic David Bromwich, economist Tyler Cowen, historian Ann Hughes, and philosopher Niko Kolodny.

    tax reform, the interested citizen is forced to choose between misleading sound bites and academic treatises. Taxing Ourselves bridges the gap between the two by presenting in clear non-technical language the key issues in U.S. tax reform: who should pay taxes, how taxes affect the economy and whether to reform or replace the current tax system. The authors discuss various alternative proposals in detail, including the flat tax and the sales tax, but they are not advocates for any of them; instead, they provide readers with the knowledge and the tools - including an informative overview of the U.S. tax system and an invaluable voter's guide to the tax policy debate - to make their own informed choices about how American citizens should tax themselves. The third edition of this popular guide has been extensively revised and updated to cover all changes in U.S. tax laws through to May 2003 and to reflect the most recent research and relevant data. It also provides new or expanded treatment of issues in the current debate, including tax cuts and whether they stimulate the economy, savings incentives, double taxation of corporate income, the estate tax, c

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    McCabe was fired from his position as deputy director of the FBI. President Donald Trump celebrated on Twitter: "Andrew McCabe FIRED, a great day for the hard working men and women of the FBI - A great day for Democracy."In The Threat: How the FBI Protects America in the Age of Terror and Trump, Andrew G. McCabe offers a dramatic and candid account of his career, and an impassioned defense of the FBI's agents, and of the institution's integrity and independence in protecting America and upholding our Constitution.McCabe started as a street agent in the FBI's New York field office, serving under director Louis Freeh. He became an expert in two kinds of investigations that are critical to American national security: Russian organized crime—which is inextricably linked to the Russian state—and terrorism. Under Director Robert Mueller, McCabe led the investigations of major attacks on American soil, including the Boston Marathon bombing, a plot to bomb the New York subways, and several narrowly averted bombings of aircraft. And under James Comey, McCabe was deeply involved in the controversial investigations of the Benghazi attack, the Clinton Foundation's activities, and Hillary Clinton's use of a private email server when she was secretary of state.The Threat recounts in compelling detail the time between Donald Trump's November 2016 election and McCabe's firing, set against a page-turning narrative spanning two decades when the FBI's mission shifted to a new goal: preventing terrorist attacks on Americans. But as McCabe shows, right now the greatest threat to the United States comes from within, as President Trump and his administration ignore the law, attack democratic institutions, degrade human rights, and undermine the U.S. Constitution that protects every citizen.Important, revealing, and powerfully argued, The Threat tells the true story of what the FBI is, how it works, and why it will endure as an institution of integrity that protects America.

    It might seem that there’s an obvious reason that true beliefs matter: false beliefs will hurt you. But if that’s right, then why is it (apparently) irrelevant to many people whether they believe true things or not? The Misinformation Age, written for a political era riven by “fake news,” “alternative facts,” and disputes over the validity of everything from climate change to the size of inauguration crowds, shows convincingly that what you believe depends on who you know. If social forces explain the persistence of false belief, we must understand how those forces work in order to fight misinformation effectively.