机器学习与人工智能 机器学习与人工智能 编辑导语:机器学习与人工智能 Learning From Data YaserS.Abu-Mostafa Machinelearningallowscomputationalsystemstoadaptivelyimprovetheirperformancewithexperien... Deep Learning IanGoodfellow "Writtenbythreeexpertsinthefield,DeepLearningistheonlycomprehensivebookonthesubject."--E... Programming Collective Intelligence TobySegaran Wanttotapthepowerbehindsearchrankings,productrecommendations,socialbookmarking,andonline... Machine Learning ThomasMitchell Thisbookcoversthefieldofmachinelearning,whichisthestudyofalgorithmsthatallowcomputerprog... Artificial Intelligence PeterNorvig Foroneortwo-semester,undergraduateorgraduate-levelcoursesinArtificialIntelligence.Thelon... Pattern Recognition and Machine Learning ChristopherBishop Thedramaticgrowthinpracticalapplicationsformachinelearningoverthelasttenyearshasbeenacco... Modern Information Retrieval RicardoBaeza-Yates Introduction to Information Retrieval ChristopherD.Manning Class-testedandcoherent,thisgroundbreakingnewtextbookteachesclassicwebinformationretriev... Managing Gigabytes IanH.Witten InthisfullyupdatedsecondeditionofthehighlyacclaimedManagingGigabytes,authorsWritten,Moff... All of Statistics LarryWasserman WINNEROFTHE2005DEGROOTPRIZE!Thisbookisforpeoplewhowanttolearnprobabilityandstatisticsqui... The Elements of Statistical Learning T.Hastie Duringthepastdecadetherehasbeenanexplosionincomputationandinformationtechnology.Withitha... 概率论及其应用(第1卷·第3版) [美]威廉·费勒(WilliamFeller) 《概率论及其应用》(第3版)涉及面极广,不仅讨论了概率论在离散空间中的诸多课题,也涉及了概率论在物理学、化学、生物学(特别是遗传学)、博弈论及经济学等方面的应用,主要内容有:样... Bounded Rationality GerdGigerenzer Inacomplexanduncertainworld,humansandanimalsmakedecisionsundertheconstraintsoflimitedkno... 简捷启发式 [德]哥德·吉戈伦尔 在《简捷启发式让我们更精明》中,作者开宗明义地指出,人类和动物的理性是有限的(既不是非理性的,又不是纯理性的),但这种有限理性已足以使他们在现实环境中作出合理判断和决策。现实环... The Cambridge Handbook of Thinking and Reasoning KeithJ.Holyoak Writtenbyforemostauthoritiesfromcognitivepsychology,cognitivescience,andcognitiveneurosc... Neural Networks for Pattern Recognition ChristopherM.Bishop Thisbookprovidesthefirstcomprehensivetreatmentoffeed-forwardneuralnetworksfromtheperspec... 统计学习理论的本质 [美]VladimirN.Vapnik 本书介绍了统计学习理论和支持向量机的关键思想、结论和方法,以及该领域的最新进展。统计学习理论是针对小样本情况研究统计学习规律的理论,是传统统计学的重要发展和补充。其核心思想是通... Statistical Learning Theory VladimirN.Vapnik Acomprehensivelookatlearningandgeneralizationtheory.Thestatisticaltheoryoflearningandgen... Statistical Decision Theory and Bayesian Analysis JamesO.Berger InthisneweditiontheauthorhasaddedsubstantialmaterialonBayesiananalysis,includinglengthyn... 本期书单【机器学习与人工智能】内容,由书到网运营整理发布。 转载,请注明出处和相关链接:得书网 谢谢合作 互联网