Search results for [Big data.] at Tsuga Consortium

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Data analytics & visualization all-in-one for dummies / by Hyman, Jack,author.; Massaron, Luca,author.; McFedries, Paul,author.; Mueller, John Paul,author.; Pierson, Lillian,author.; Reichental, Jonathan,author.; Schmuller, Joseph,author.; Simon, Alan,author.; Taylor, Allen G.,author.;: 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 knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You'll learn all about sources of data like data lakes, and you'll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You'll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you'll be well on your way to becoming a priceless data jockey.; Subjects: Big data.; Data mining.; Information visualization.;
The zero dollar car : how the revolution in big data will change your life / by Ellis, John(Writer on big data);: LSC; Subjects: Ellis, John (Writer on big data); Big data; Automobile industry and trade.; Privacy, Right of.;
Don't trust your gut : using data to get what you really want in life / by Stephens-Davidowitz, Seth,author.;: Includes bibliographical references and index."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 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. 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."; Subjects: Self-help publications.; Big data; Data mining; Decision making;
Weapons of math destruction : how big data increases inequality and threatens democracy / by O'Neil, Cathy.;: Includes bibliographical references, Internet addresses and index.LSC; Subjects: Big data; Big data; Social indicators; Democracy;
The algorithm : how AI decides who gets hired, monitored, promoted, and fired and why we need to fight back now / by Schellmann, Hilke,author.;: Includes bibliographical references and index."Hilke Schellmann is an Emmy award-winning investigative reporter, Wall Street Journal and Guardian contributor, and journalism professor at NYU. In "The Algorithm," she investigates the rise of Artificial Intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents, and real-world tests, Schellmann discovers that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good. Algorithms are on the brink of dominating our lives and threaten our human future if we don't fight back. Schellmann takes readers on a journalistic detective story, testing algorithms that have secretly analyzed job candidates' facial expressions and tone of voice. She investigates algorithms that scan our online activity, including Twitter and LinkedIn, to construct personality profiles a la Cambridge Analytica. Her reporting reveals how employers track the location of their employees, the keystrokes they make, access everything on their screens, and, during meetings, analyze group discussions to diagnose problems in a team. Even universities are now using predictive analytics for admission offers and financial aid"--; Subjects: Algorithms; Artificial intelligence; Information society.; Artificial intelligence; Big data;
The art of invisibility : the world's most famous hacker teaches you how to be safe in the age of Big Brother and big data / by Mitnick, Kevin D.(Kevin David),1963-author.; Vamosi, Robert,author.;: Includes bibliographical references and index.; Subjects: Internet; Computer security.; Data protection.; Privacy, Right of.;
Code 6 : a novel / by Grippando, James,1958-author.;: "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"--; Subjects: Thrillers (Fiction); Novels.; Big data; Conspiracies; Data integration (Computer science); Data privacy; Fathers and daughters; Kidnapping; Mothers; Screenwriters; Technology;
Code 6 [text (large print)] : a novel / by Grippando, James,1958-author.;: "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"--; Subjects: Thrillers (Fiction); Large type books.; Novels.; Big data; Conspiracies; Data integration (Computer science); Data privacy; Fathers and daughters; Kidnapping; Mothers; Screenwriters; Technology;
The philosopher in the valley : Alex Karp, Palantir, and the rise of the surveillance state / by Steinberger, Michael,author.;: "Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism -- an early investor was the CIA -- Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he's a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir's work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp's close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley's most secretive and powerful companies, whose technology is at the leading edge of the surveillance state"--; Subjects: Biographies.; Personal narratives.; Karp, Alexander C.; Palantir Foundation for Defense Policy and International Affairs.; Big data.; Businesspeople; Computer software industry.; Electronic surveillance; Technology;

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