How and What Marketing Algorithms Think

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Release : 2022-10-27
Genre : Business & Economics
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Book Rating : 47X/5 ( reviews)

How and What Marketing Algorithms Think - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook How and What Marketing Algorithms Think write by Roberto Brognara. This book was released on 2022-10-27. How and What Marketing Algorithms Think available in PDF, EPUB and Kindle. This book argues that the apparent omnipotence of algorithms today is not what it seems, particularly, in marketing, where they actually offer less than they could. Considering the reasons behind this, it also notes that Big Data has relaunched a kind of data glorification and automated procedures that, culturally, marketing has already recognized and overcome at least once. This first generation of “programmatic marketing”, which the giants of the digital economy launched 15 years ago and consolidated worldwide, can be significantly improved, with corresponding business results as well, but, first, as this book shows, we need to know which strategic and cultural boundaries impact Big Data.

How to Think About Algorithms

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Release : 2008-05-19
Genre : Computers
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Book Rating : 759/5 ( reviews)

How to Think About Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook How to Think About Algorithms write by Jeff Edmonds. This book was released on 2008-05-19. How to Think About Algorithms available in PDF, EPUB and Kindle. This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.

The Feel of Algorithms

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Release : 2023-05-23
Genre : Social Science
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Book Rating : 569/5 ( reviews)

The Feel of Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Feel of Algorithms write by Minna Ruckenstein. This book was released on 2023-05-23. The Feel of Algorithms available in PDF, EPUB and Kindle. Why do we feel excited, afraid, and frustrated by algorithms? The Feel of Algorithms brings relatable first-person accounts of what it means to experience algorithms emotionally alongside interdisciplinary social science research, to reveal how political and economic processes are felt in the everyday. People’s algorithm stories might fail to separate fact and misconception, and circulate wishful, erroneous, or fearful views of digital technologies. Yet rather than treating algorithmic folklore as evidence of ignorance, this novel book explains why personal anecdotes are an important source of algorithmic knowledge. Minna Ruckenstein argues that we get to know algorithms by feeling their actions and telling stories about them. The Feel of Algorithms shows how taking everyday algorithmic emotions seriously balances the current discussion, which has a tendency to draw conclusions based on celebratory or oppositional responses to imagined future effects. An everyday focus zooms into experiences of pleasure, fear, and irritation, highlighting how political aims and ethical tensions play out in visions, practices, and emotional responses. This book shows that feelings aid in recognizing troubling practices, and also calls for alternatives that are currently ignored or suppressed.

A Human's Guide to Machine Intelligence

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Release : 2020-03-10
Genre : Business & Economics
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Book Rating : 904/5 ( reviews)

A Human's Guide to Machine Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Human's Guide to Machine Intelligence write by Kartik Hosanagar. This book was released on 2020-03-10. A Human's Guide to Machine Intelligence available in PDF, EPUB and Kindle. A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

The Formula

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Release : 2014-04-03
Genre : Science
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Book Rating : 255/5 ( reviews)

The Formula - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Formula write by Luke Dormehl. This book was released on 2014-04-03. The Formula available in PDF, EPUB and Kindle. What if everything in life could be reduced to a simple formula? What if numbers were able to tell us which partners we were best matched with – not just in terms of attractiveness, but for a long-term committed marriage? Or if they could say which films would be the biggest hits at the box office, and what changes could be made to those films to make them even more successful? Or even who out of us is likely to commit certain crimes, and when? This may sound like the world of science-fiction, but in fact it is just the tip of the iceberg in a world that is increasingly ruled by complex algorithms and neural networks. In The Formula, Luke Dormehl takes you inside the world of numbers, asking how we came to believe in the all-conquering power of algorithms; introducing the mathematicians, artificial intelligence experts and Silicon Valley entrepreneurs who are shaping this brave new world, and ultimately asking how we survive in an era where numbers can sometimes seem to create as many problems as they solve.