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Rules For Building Formal Models That Use Fastandfrugal Heuristics, Extending The Psychological Study Of Classification To The Real World Of Uncertainty.This Book Focuses On Classificationallocating Objects Into Categories'In The Wild,' In Realworld Situations And Far From The Certainty Of The Lab. In The Wild, Unlike In Typical Psychological Experiments, The Future Is Not Knowable And Uncertainty Cannot Be Meaningfully Reduced To Probability. Connecting The Science Of Heuristics With Machine Learning, The Book Shows How To Create Formal Models Using Classification Rules That Are Simple, Fast, And Transparent And That Can Be As Accurate As Mathematically Sophisticated Algorithms Developed For Machine Learning.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
Q: What is the main focus of 'Classification in the Wild'?A: The book focuses on the principles of classification, particularly how to allocate objects into categories in real-world situations where uncertainty exists.
Q: Who is the author of this book?A: The author of 'Classification in the Wild' is Konstantinos V. Katsikopoulos.
Q: What are fast-and-frugal heuristics?A: Fast-and-frugal heuristics are simple decision-making rules that allow individuals to make quick, effective choices in uncertain environments without extensive analysis.
Q: When was 'Classification in the Wild' published?A: 'Classification in the Wild' was published on February 2, 2021.
Q: How many pages does the book contain?A: The book contains a total of 200 pages.
Q: What edition of the book is available?A: 'Classification in the Wild' is available in its First Edition.
Q: What type of binding does this book have?A: The book is bound in hardcover format.
Q: What category does this book fall under?A: 'Classification in the Wild' is categorized under Decision-Making & Problem Solving.
Q: Is this book suitable for beginners in machine learning?A: Yes, the book connects the science of heuristics with machine learning in a way that is accessible for readers new to the subject.
Q: What is the overall theme of the book?A: The overall theme explores how to create classification rules that are simple, fast, and transparent, providing insights into effective decision-making amidst uncertainty.
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