This book is a general introduction to machine learning that can serve as a reference
book for researchers and a textbook for students. It covers fundamental modern
topics in machine learning while providing the theoretical basis and conceptual tools
needed for the discussion and justification of algorithms. It also describes several
key aspects of the application of these algorithms.
資源簡介：This book is a general introduction to Machine Learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in Machine Learning while providing the theoretical basis and concep...
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
資源簡介：The past decade has seen an explosion of Machine Learning research and appli- cations; especially, deep Learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, th...
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
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(shí)間： 2020-06-10
上傳用戶：shancjb
資源簡介：Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of Machine Learning ...
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
資源簡介：Machine Learning is about designing algorithms that automatically extract valuable information from data. The emphasis here is on “automatic”, i.e., Machine Learning is concerned about general-purpose methodologies that can be applied to ...
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
資源簡介：算法實(shí)現(xiàn):Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
上傳時(shí)間： 2015-08-29
上傳用戶：invtnewer
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(shí)間： 2013-12-06
上傳用戶：小寶愛考拉
資源簡介：solution mannual of the book-Pattern recognition and Machine Learning!
上傳時(shí)間： 2014-12-22
上傳用戶：koulian
資源簡介：Machine Learning is a broad and fascinating field. Even today, Machine Learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve Learning, at som...
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
資源簡介：Pattern recognition has its origins in engineering, whereas Machine Learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development ove...
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
資源簡介：Machine Learning
上傳時(shí)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(shí)間： 2015-04-19
上傳用戶：
資源簡介：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.
上傳時(shí)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(shí)間： 2015-07-26
上傳用戶：趙云興
資源簡介：《Foundations.of.Atlas》配套源代碼和PDF格式電子書
上傳時(shí)間： 2015-09-27
上傳用戶：cainaifa
資源簡介：Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of Machine Learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a...
上傳時(shí)間： 2015-10-20
上傳用戶：aeiouetla
資源簡介：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
上傳時(shí)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(gè)簡短但非常經(jīng)典的最大熵統(tǒng)計(jì)模型實(shí)現(xiàn)源碼。
上傳時(shí)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(shí)間： 2015-12-14
上傳用戶：日光微瀾
資源簡介：Machine Learning Weka 數(shù)據(jù)變換，給Arff文件加載權(quán)值，變換為XRFF文件。
上傳時(shí)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(shí)間： 2014-01-19
上傳用戶：lindor
資源簡介：將軍——一種新的求解大規(guī)模問題的支持向量機(jī)程序（軟件）。A Large Scale Machine Learning Toolbox
上傳時(shí)間： 2013-12-14
上傳用戶：zq70996813
資源簡介：booster-tree a Machine Learning method
上傳時(shí)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(shí)間： 2014-05-31
上傳用戶：qoovoop
資源簡介：Foundations of Python Network Programming leads readers through every aspect of client and server programming with Python. Python is a new and innovative scripting language. It is set to replace Perl as the programming language of choice fo...
上傳時(shí)間： 2013-12-16
上傳用戶：小碼農(nóng)lz
資源簡介：機(jī)器學(xué)習(xí)經(jīng)典書籍The Elements of Statistical Learning--Data Mining, Inference and Prediction. 作者：Friedman
上傳時(shí)間： 2014-12-03
上傳用戶：奇奇奔奔
資源簡介：Machine Learning related paper from msra
上傳時(shí)間： 2016-09-19
上傳用戶：wyc199288
資源簡介：Pattern Recognition and Machine Learning，模式識(shí)別與機(jī)器學(xué)習(xí)，這是學(xué)習(xí)機(jī)器學(xué)習(xí)的一本好書
上傳時(shí)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(shí)別與機(jī)器學(xué)習(xí)的答案
上傳時(shí)間： 2014-01-13
上傳用戶：417313137
資源簡介：Bishop 經(jīng)典的Pattern Recognition and Machine Learning的課后題指導(dǎo) 相信對學(xué)習(xí)模式識(shí)別的朋友會(huì)有幫助
上傳時(shí)間： 2013-12-26
上傳用戶：ynsnjs
