by Brian & Tom Griffiths Christian
Hardcover Paperback Kindle Edition Audio CDThe book "Algorithms to Live By: The Computer Science of Human Decisions" by Christian and Brian is a fascinating exploration of how computer algorithms can be used to optimize everyday decision-making processes in human life. The book explains how individuals can apply different algorithms to solve problems such as finding the best route to work, deciding on a mate or job, and managing time effectively. The authors explain how computer science principles can be applied to these problems to solve them efficiently and effectively. Overall, the book offers valuable insights into how we make decisions and how we can improve our decision-making processes using the latest technologies and tools from computer science.
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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.