Cole Stryker

Created by a 15-year-old wunderkind in 2003, it is the creative force behind "the Web's most infectious memes and catchphrases" (Wired). Today it has over 12 million monthly users, with enormous social influence to match. Epic Win is the first book to tell 4chan's story. Longtime blogger and 4chan expert Cole Stryker writes with a voice that is engrossingly informative and approachable. Whether examining the 4chan- provoked Jessi Slaughter saga and how cyber-bullying is part of our new reality, or explaining how Sarah Palin's email account was leaked, Epic Win for Anonymous proves 4chan's transformative cultural impact, and how it has influenced--and will continue to influence-- society at large.

How 4chan's Army Conquered the Web

Epic Win for Anonymous

Is anonymity a crucial safeguard—or a threat to society? “One of the most well-informed examinations of the Internet available today” (Kirkus Reviews). “The author explores the rich history of anonymity in politics, literature and culture, while also debunking the notion that only troublemakers fear revealing their identities to the world. In relatively few pages, the author is able to get at the heart of identity itself . . . Stryker also introduces the uninitiated into the ‘Deep Web,’ alternative currencies and even the nascent stages of a kind of parallel Web that exists beyond the power of governments to switch it off. Beyond even that is the fundamental question of whether or not absolute anonymity is even possible.” —Kirkus Reviews “Stryker explains how significant web anonymity is to those key companies who mine user data personal information of, for example, the millions of members on social networks. . . . An impassioned, rational defense of web anonymity and digital free expression.” —Publishers Weekly

Privacy, Identity, and Anonymity on the Web

Hacking the Future

Neal Fishman

Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

Cole Stryker

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