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 dives into how computer algorithms can be used to make better decisions in everyday life. The authors explore a range of topics, from scheduling and optimization problems to game theory and machine learning, and show how insights from computer science can help people make more efficient and effective choices. They also take a closer look at some of the psychological biases that can get in the way of good decision-making, and offer practical tips for overcoming these obstacles. Overall, the book encourages readers to think more like algorithms in order to achieve greater success and satisfaction in life.
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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.