10 - 601 Machine Learning , Fall 2012 Homework 2 Instructors : Tom Mitchell , Ziv Bar - Joseph TA in charge : Selen
نویسنده
چکیده
1 Naive Bayes, 20 points Problem 1. Basic concepts, 10 points Naive Bayes reduces the number of parameters that must be estimated for a Bayesian classifier, by making a conditional independence assumption when modeling P (X|Y). The definition for conditional independence is the following: Given this definition, please answer the following questions:
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Beyond Plug and Chug: an Analysis of Calculus I Homework
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This is a rough draft chapter intended for inclusion in the upcoming second edition of the textbook Machine Learning, T.M. Mitchell, McGraw Hill. You are welcome to use this for educational purposes, but do not duplicate or repost it on the internet. For online copies of this and other materials related to this book, visit the web site www.cs.cmu.edu/∼tom/mlbook.html. Please send suggestions fo...
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This is a rough draft chapter intended for inclusion in the upcoming second edition of the textbook Machine Learning, T.M. Mitchell, McGraw Hill. You are welcome to use this for educational purposes, but do not duplicate or repost it on the internet. For online copies of this and other materials related to this book, visit the web site www.cs.cmu.edu/∼tom/mlbook.html. Please send suggestions fo...
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