Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model- agnosticmethodsforinterpretingblackboxmodelslikefeatureimportanceandaccumulatedlocal effects and explaining individual predictions with Shapley values and LIME.
標(biāo)簽： interpretable-Machine-Learning
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
machine learning
上傳時(shí)間： 2015-02-05
上傳用戶：來(lái)茴
Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
標(biāo)簽： OPTIMIZATION ALGORITHMS LEARNING Programs
上傳時(shí)間： 2015-04-19
上傳用戶：
Machine Learning with WEKA: An Introduction （講義） 關(guān)于數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)的.
標(biāo)簽： Introduction Learning Machine with
上傳時(shí)間： 2013-12-27
上傳用戶：qq521
machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorithms, discretization, lazy learning, bagging, MineSet.
標(biāo)簽： decision cross-validation estimation bootstrap
上傳時(shí)間： 2015-07-26
上傳用戶：趙云興
算法實(shí)現(xiàn):Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
標(biāo)簽： approximations Generalized Learning matrices
上傳時(shí)間： 2015-08-29
上傳用戶：invtnewer
介紹隨機(jī)森林(Random Forest)最早的,最經(jīng)典文獻(xiàn)!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001
標(biāo)簽： Random Learning BREIMAN Forests
上傳時(shí)間： 2015-10-22
上傳用戶：stvnash
YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och編寫，一個(gè)簡(jiǎn)短但非常經(jīng)典的最大熵統(tǒng)計(jì)模型實(shí)現(xiàn)源碼。
標(biāo)簽： Statistical Learning Another Machine
上傳時(shí)間： 2015-11-17
上傳用戶：xiaodu1124
Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994
標(biāo)簽： C. D. D.J. Classification
上傳時(shí)間： 2015-12-14
上傳用戶：日光微瀾
Machine Learning Weka 數(shù)據(jù)變換，給Arff文件加載權(quán)值，變換為XRFF文件。
標(biāo)簽： Learning Machine Weka 數(shù)據(jù)
上傳時(shí)間： 2015-12-16
上傳用戶：wxhwjf
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