algorithms

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Topical Term
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a
Alias: 
algorithms

The algorithm

how AI decides who gets hired, monitored, promoted, and fired and why we need to fight back now
2024
"Hilke Schellmann . . . investigates the rise of Artificial Intelligence (AI) in the world of work . . . [discovering] that many of the algorithms making high-stakes decisions are biased, racist, and do more harm than good. 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 . . . to construct personality profiles. 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"--Provided by publisher.

Rules

a short history of what we live by
2022
"We are, all of us, everywhere, always, enmeshed in a web of rules and constraints. Rules fix the beginning and end of the working day and the school year, direct the ebb and flow of traffic on the roads, dictate who can be married to whom and how, place the fork to the right or the left of the plate, lay down the meter and rhyme scheme of a Petrarchan sonnet, and order the rites of birth and death. Cultures notoriously differ as to the content of their rules, but there is no culture without rules. In this book, historian of science Lorraine Daston adopts a long term perspective for studying rules from diverse sources, including monastic orders, cookbooks, and mathematical algorithms. She argues that in the Western tradition most rules can be characterized as one of the following: tools of measurement and calculation, models or paradigms, or laws. Moreover, they exist on spectra from specific to general, flexible to rigid and the specific-to-general, and universal-to-particular. In investigating how rules work, how they don't work, how they've changed across time, and why exceptions are necessary, Daston paints a vivid picture of Western civilization from the antiquity to the present"--.

Algorithms & sequencing

2022
"This title introduces the concepts of algorithms and sequencing in coding by using relatable real-world examples in the reader's everyday life"--Publisher's website.

Get coding with data

"Introduces readers to everything they need to know about data. Accessible language provides easy-to-understand explanations for crucial concepts. Puzzles, games, and robot illustrations create a fun, interactive learning experience that will draw in both beginning coders and readers who are reluctant to learn about coding. They'll explore types of data including numbers, strings, and arrays. Readers will learn how data is stored in computer and in codes, as well as key vocabulary terms such as memory, cache, ram, disk, and flash. They'll also see the difference between constants and variables, and other important science and technology topics."--Provided by publisher.
Cover image of Get coding with data

Bad choices

how algorithms can help you think smarter and live happier
2017
Explores new ways to develop critical thinking and problem solving skills for better decision making through the use of algorithms.

Understanding coding by building algorithms

2017
An introduction to the coding through building algorithms.

Understanding coding by building algorithms

Explores the historical development of algorithms and how they are used as a way of teaching computers to work through problems.

The advent of the algorithm

the 300-year journey from an idea to the computer
2001
Describes the logicians and mathematicians who discovered the algorithm over the first half of the twentieth century, explaining the significance of this concept--the set of instructions on which computers run--in the modern world.

The advent of the algorithm

the idea that rules the world
2000
Describes the logicians and mathematicians who discovered the algorithm over the first half of the twentieth century, explaining the significance of this concept--the set of instructions on which computers run--in the modern world.
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