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"A screenwriter working on a script about the dark side of Big Data is pulled into a far-reaching conspiracy and coverup after a childhood friend is kidnapped while under investigation by the Justice Department"-- Provided by publisher.
"A screenwriter working on a script about the dark side of Big Data is pulled into a far-reaching conspiracy and coverup after a childhood friend is kidnapped while under investigation by the Justice Department"-- Provided by publisher.
"Byung-Chul Han, a star of German philosophy, continues his passionate critique of neoliberalism, trenchantly describing a regime of technological domination that, in contrast to Foucault's biopower, has discovered the productive force of the psyche. In the course of discussing a...
"In this groundbreaking work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys-and the...
"Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You'll learn how to take your data and create open lakehouses that work with any technology using tried-and-true ...
"A week ago, if someone had told Paige she'd be stuck in traffic with three total strangers on a mission to stop a global organization from controlling their minds, she would have laughed. But somehow this is real life. She adjusts her noise cancelling headphones, trying to drown...
How do computers and robots change the meaning of being human? How do we deal with the epidemic of fake news? Are nations and religions still relevant? What should we teach our children? As technology advances faster than our understanding of it, hacking becomes a tactic of war,...
Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of ...
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL...
Mindf*ck goes deep inside Cambridge Analytica's "American operations," which were driven by Steve Bannon's vision to remake America and fueled by mysterious billionaire Robert Mercer's money, as it weaponized and wielded the massive store of data it had harvested on individuals--...
"A compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems...
"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. We consult friends and family, make sense of confusing "expert" advice ...
A primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and impo...
Terraform hones the predictive capacity of science fiction and seeks new, vivid, and visceral ways to depict the future we're hurtling toward, translating the decay and anxiety that surround us into something else, something unexpected, something that burns like a beacon and upen...
A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering.
Turn to The Little Book of Data to better understand how the current data revolution impacts us all, learn how to spot the opportunities as well as the dangers that our increasing reliance on data poses, and eventually even become data people ourselves.