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.
資源簡介: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 th...
上傳時間: 2020-06-10
上傳用戶:shancjb
資源簡介:machine learning
上傳時間: 2015-02-05
上傳用戶:來茴
資源簡介:Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
上傳時間: 2015-04-19
上傳用戶:
資源簡介:Machine Learning with WEKA: An Introduction (講義) 關于數據挖掘和機器學習的.
上傳時間: 2013-12-27
上傳用戶:qq521
資源簡介: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 ...
上傳時間: 2015-07-26
上傳用戶:趙云興
資源簡介:算法實現:Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
上傳時間: 2015-08-29
上傳用戶:invtnewer
資源簡介:介紹隨機森林(Random Forest)最早的,最經典文獻!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001
上傳時間: 2015-10-22
上傳用戶:stvnash
資源簡介:YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och編寫,一個簡短但非常經典的最大熵統計模型實現源碼。
上傳時間: 2015-11-17
上傳用戶:xiaodu1124
資源簡介:Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994
上傳時間: 2015-12-14
上傳用戶:日光微瀾
資源簡介:Machine Learning Weka 數據變換,給Arff文件加載權值,變換為XRFF文件。
上傳時間: 2015-12-16
上傳用戶:wxhwjf
資源簡介:Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fas...
上傳時間: 2014-01-19
上傳用戶:lindor
資源簡介:將軍——一種新的求解大規模問題的支持向量機程序(軟件)。A Large Scale Machine Learning Toolbox
上傳時間: 2013-12-14
上傳用戶:zq70996813
資源簡介:booster-tree a machine learning method
上傳時間: 2014-06-09
上傳用戶:龍飛艇
資源簡介:Pattern Recognition and Machine Learning Bishop-.pdf 非常好的一本書, pattern recognition 必讀
上傳時間: 2014-05-31
上傳用戶:qoovoop
資源簡介:AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
上傳時間: 2013-12-06
上傳用戶:小寶愛考拉
資源簡介:machine learning related paper from msra
上傳時間: 2016-09-19
上傳用戶:wyc199288
資源簡介:Pattern Recognition and Machine Learning,模式識別與機器學習,這是學習機器學習的一本好書
上傳時間: 2016-10-29
上傳用戶:wqxstar
資源簡介:Pattern Recognition and Machine Learning Solutions to the Exercises,模式識別與機器學習的答案
上傳時間: 2014-01-13
上傳用戶:417313137
資源簡介:Bishop 經典的Pattern Recognition and Machine Learning的課后題指導 相信對學習模式識別的朋友會有幫助
上傳時間: 2013-12-26
上傳用戶:ynsnjs
資源簡介:Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufma
上傳時間: 2013-12-21
上傳用戶:jiahao131
資源簡介:Machine Learning in Computer Vision - N. SEBE
上傳時間: 2013-12-15
上傳用戶:410805624
資源簡介:pattern recognition and machine learning 最經典的書
上傳時間: 2014-01-27
上傳用戶:lvzhr
資源簡介:machine learning in computer vision 計算機視覺中的機器學習 外文經典計算機視覺教程
上傳時間: 2017-02-07
上傳用戶:huyiming139
資源簡介:a function inside machine learning
上傳時間: 2017-02-27
上傳用戶:alan-ee
資源簡介:machine learning algorithm, it is to optimize the model and improve the function
上傳時間: 2017-03-04
上傳用戶:釣鰲牧馬
資源簡介:Machine Learning [Mc-Graw Hill - Tom Mitchell, 1997] by Tantanoid
上傳時間: 2014-12-05
上傳用戶:cccole0605
資源簡介:Data Mining Practical Machine Learning Tools and Techniques
上傳時間: 2014-01-03
上傳用戶:sevenbestfei
資源簡介:AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-cod...
上傳時間: 2014-01-15
上傳用戶:qiaoyue
資源簡介:AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
上傳時間: 2013-12-31
上傳用戶:jiahao131
資源簡介:solution mannual of the book-Pattern recognition and machine learning!
上傳時間: 2014-12-22
上傳用戶:koulian