Summary How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, wit...(展开全部)

An inquiry into what we can know in an age of surveillance and algorithms Knitting together contemporary technologies of datafication to reveal a broader, underlying shift in what counts as knowledge, Technologies of Speculation reframes today’s major moral and political controversies around algorithms and artificial intelligence. How many times we toss and turn in our sleep, o...(展开全部)

Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's o...(展开全部)

It’s not just fake news. Bullshit is everywhere. Now, two science professors give us the tools to dismantle misinformation and think clearly in a data-saturated world. The world is awash in bullshit, and we’re drowning in it. Politicians are unconstrained by facts. Science is conducted by press release. Startup culture elevates bullshit to high art. These days, calling bullshit...(展开全部)

Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult ...(展开全部)

The word ‘data’ has entered everyday conversation, but do we really understand what it means? How can we begin to grasp the scope and scale of our new data-rich world, and can we truly comprehend what is at stake? In Data Lives, renowned social scientist Rob Kitchin explores the intricacies of data creation and charts how data-driven technologies have become essential to how so...(展开全部)

Review "A must-read resource for anyone who is serious about embracing the opportunity of big data." -- Craig Vaughan Global Vice President at SAP "This book goes beyond data analytics 101. It's the essential guide for those of us (all of us?) whose businesses are built on the ubiquity of data opportunities and the new mandate for data-driven decision-making." --Tom Phillips CE...(展开全部)

Jay Jacobs在IT以及信息安全领域拥有超过15年的经验，主要致力于密码学、风险学以及数据分析方面的研究。作为Versizon RISK团队的一名高级数据分析师，他参与编纂年度《Data Breach Investigation Report》，并投入大量精力进行安全相关数据的分析与可视化。Jay也是Society of Information Risk Analysts的创立人之一，现在是该组织董事会的成员。他是一名活跃的博客纂稿人与演讲者，他还是Risk Science播客的主持人并且曾经是2014 Metricon安全指标/分析大会的联席主席。可以通过@jayjacobs在推特上找到他。他拥有美国康卡迪亚大学科技管理的学士学位以及美国宾夕法尼亚州立大学的应用统计学毕业证书。 Bob Rudis拥有超过20年的利用数据来帮助维护全球财富10...(展开全部)

Yves Hilpsch是Python Quants（德国）股份有限公司的创始人和任事股东，也是Python Quants（纽约）有限责任公司的共同创办人。该集团提供基于Python的金融和衍生品分析软件（参见http://pythonquants.com，http://quant-platfrom.com和http://dx-analytics.com），以及和Python及金融相关的咨询、开发和培训服务。 Yves还是Derivatives Analytics with Python（Wiley Finance，2015）的作者。作为获得数理金融学博士学位的商业管理专业研究生，他在萨尔州大学讲授计算金融学中的数值化方法课程。