How And What Marketing Algorithms Think
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How and What Marketing Algorithms Think
Author: Roberto Brognara
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2022-10-27
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
Author: Jeff Edmonds
language: en
Publisher: Cambridge University Press
Release Date: 2008-05-19
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
Author: Minna Ruckenstein
language: en
Publisher: Univ of California Press
Release Date: 2023-05-23
"This book explores the cultural shift in society that promotes and relies on affectively charged technology relations. Bringing together relatable first-person accounts of what it means to experience algorithms emotionally alongside research developed across anthropology, sociology, media and communication studies, and science and technology studies, The Feel of Algorithms reveals how political-economic processes are felt in the everyday, as we learn about the digital geography of fear and the current lack of collective resources to build algorithmic systems. Minna Ruckenstein builds on the notion that everyday practices are not merely subject to algorithmic logic; rather, people actively respond to and live with data and algorithms, ranging from actual technical operations to their imagined effects. The pleasures, fears, and frustrations come together to produce a blueprint of how such systems should be combined with human aims and efforts. The narrated emotional reactions are not simply individual responses; they tell a more generalizable story of structures of feeling and related attempts to live well with algorithmic systems. The Feel of Algorithms demonstrates that human capacities and aims need active fostering in the algorithmic era. The structures of feeling aid in recognizing troubling practices, but they also call for alternatives that are currently ignored and suppressed"--