by Brian Christian, Tom Griffiths
Hardcover Paperback Kindle Edition Audio CDThe book "Algorithms to Live By: The Computer Science of Human Decisions" by Christian, Brian explores the concept of applying computer algorithms to real-life decision-making processes. The authors discuss how certain algorithms can be used to optimize decision-making, prioritize tasks, and solve problems. They also discuss the limitations of algorithms and how they can be combined with human intuition to make better decisions. The book covers various decision-making scenarios, including job interviews, dating, and house-hunting, and provides insights and practical advice for readers seeking to implement algorithmic thinking in their daily lives. Overall, the book is an accessible and informative read for anyone interested in using computer science concepts to improve their decision-making skills.
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A comprehensive introduction to the field of artificial intelligence, covering key concepts and techniques in depth.
Explores the impact of algorithms on our society and decision-making processes, offering insights into the ethical implications of algorithmic systems.
An exploration of the science of decision-making, blending psychology and behavioral economics to reveal how our minds make choices.
A practical guide to machine learning techniques and algorithms, with hands-on examples and real-world applications.
An in-depth exploration of optimization algorithms and techniques, with applications in various fields including engineering and economics.
Examines the role of heuristics in decision-making processes, offering insights into how we can make better choices in an uncertain world.
Explores the intersection of psychology and economics, revealing how our irrational behaviors impact our financial decisions.
An exploration of the principles of problem-solving and decision-making, offering practical strategies for overcoming obstacles and finding solutions.
An introduction to the field of data analysis, covering key concepts and techniques for extracting insights from large datasets.
An exploration of the principles of computer science, covering key topics such as algorithms, data structures, and programming techniques.