Machine Learning

磁力链接/BT种子名称

Machine Learning

磁力链接/BT种子简介

种子哈希：c730a740fa66d0da68cb617f13237c9c89262be6
文件大小：762.03M
已经下载：1694次
下载速度：极快
收录时间：2020-03-19
最近下载：2025-10-08

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磁力链接

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文件列表

  • 1848212038 {4091D485} Semi-Supervised and Unsupervised Machine Learning_ Novel Strategies [Albalate & Minker 2011-01-18].pdf 72.8 MB
  • 1420067184 {2B965259} Machine Learning_ An Algorithmic Perspective [Marsland 2009-04-01].pdf 44.0 MB
  • 0070428077 {0A8CA223} Machine Learning [Mitchell 1997-03-01].pdf 38.8 MB
  • 0262012111 {95E5E458} Introduction to Machine Learning [Alpaydin 2004-10-01].pdf 37.9 MB
  • 354026549X {A95410A3} Machine Learning and Robot Perception [Apolloni, Ghosh, Alpaslan, Jain & Patnaik 2005-10-26].pdf 27.4 MB
  • 354026549X {8B0A02FF} Machine Learning and Robot Perception [Apolloni, Ghosh, Alpaslan, Jain & Patnaik 2005-10-26].pdf 27.1 MB
  • 0262018020 {CBC794D2} Machine Learning_ A Probabilistic Perspective [Murphy 2012-08-24].pdf 26.9 MB
  • 354075170X {21E885A7} Machine Learning Techniques for Multimedia_ Case Studies on Organization and Retrieval [Cord & Cunningham 2008-04-07].pdf 25.0 MB
  • 1449303714 {97C490C2} Machine Learning for Hackers_ Case Studies and Algorithms to Get You Started [Conway & White 2012-02-25].pdf 24.2 MB
  • 1449303714 {9CBD5B54} Machine Learning for Hackers_ Case Studies and Algorithms to Get You Started [Conway & White 2012-02-25].pdf 24.2 MB
  • 0470116625 {D30AAA04} Machine Learning in Bioinformatics [Zhang & Rajapakse 2008-12-03].pdf 21.1 MB
  • 3540424903 {D20AE980} LNAI 2049_ Machine Learning and its Applications_ Advanced Lectures [Paliouras, Karkaletsis & Spyropoulos 2001-09-21].pdf 19.2 MB
  • 0070428077 {C10022F6} Machine Learning [Mitchell 1997-03-01].pdf 18.1 MB
  • 1498712169 {1309A468} Statistical Learning with Sparsity_ The Lasso and Generalizations [Hastie, Tibshirani & Wainwright 2015-06-18].pdf 17.8 MB
  • 1498712169 {DB940AE2} Statistical Learning with Sparsity_ The Lasso and Generalizations [Hastie, Tibshirani & Wainwright 2015-06-18].pdf 17.7 MB
  • 3319151940 {3C96B6B1} Machine Learning in Medicine_ A Complete Overview [Cleophas & Zwinderman 2015-03-28].pdf 17.7 MB
  • 0262012111 {D120AA46} Introduction to Machine Learning [Alpaydin 2004-10-01].pdf 16.6 MB
  • 3319170902 {E78552E0} LNAI 9047_ Statistical Learning and Data Sciences [Gammerman, Vovk & Papadopoulos 2015-03-12].pdf 16.2 MB
  • 1118961749 {A86421B7} Machine Learning in Python_ Essential Techniques for Predictive Analysis [Bowles 2015-04-20].pdf 14.0 MB
  • 159140942X {5FA14F89} Advances in Machine Learning Applications in Software Engineering [Zhang & Tsai 2007-01-30].pdf 12.9 MB
  • 9048194180 {6548D9DF} Machine Learning and Systems Engineering [Ao, Amouzegar & Rieger 2010-10-13].pdf 11.8 MB
  • 3319176102 {A33D401D} Identifying Product and Process State Drivers in Manufacturing Systems using Supervised Machine Learning [Wuest 2015-04-18].pdf 11.4 MB
  • 3642051782, 3642262317 {4D800E73} Advances in Machine Learning II [Koronacki, Ras, Wierzchoń & Kacprzyk 2009-12-24] (misleading cover).pdf 11.2 MB
  • 0521825830 {E04E57FE} Introduction to Machine Learning [Smola & Vishwanathan 2003-09-15].pdf 10.8 MB
  • 1461289548 {652BE95D} Machine Learning of Robot Assembly Plans [Segre 2011-10-05].pdf 10.0 MB
  • 1107096391 {63DCEA45} Machine Learning_ The Art and Science of Algorithms that Make Sense of Data [Flach 2012-11-12].pdf 9.9 MB
  • 331904740X {751F87A6} Extreme Learning Machines 2013_ Algorithms and Applications [Sun, Toh, Romay & Mao 2014-03-05].pdf 8.9 MB
  • 1118889061 {764A36E0} Machine Learning_ Hands-On for Developers and Technical Professionals [Bell 2014-11-03].pdf 8.9 MB
  • 1118889061 {0AAE0AD0} Machine Learning_ Hands-On for Developers and Technical Professionals [Bell 2014-11-03].pdf 8.6 MB
  • 1430259892 {12A948EA} Efficient Learning Machines_ Theories, Concepts, and Applications for Engineers and System Designers [Awad & Khanna 2015-04-30].pdf 8.3 MB
  • 3540306765, 3642067964 {945AC612} Multi-Objective Machine Learning [Jin 2006-03-14].pdf 8.3 MB
  • 3642553362 {04C066A1} Growing Adaptive Machines_ Combining Development and Learning in Artificial Neural Networks [Kowaliw, Bredeche & Doursat 2014-06-05].pdf 8.1 MB
  • 1118889061 {122668BF} Machine Learning Hands-On for Developers and Technical Professionals [Bell 2014-11-03].pdf 7.7 MB
  • 1439856893 {9DAC6CB5} Statistical Reinforcement Learning_ Modern Machine Learning Approaches [Sugiyama 2015-03-26].pdf 7.6 MB
  • 1441993258 {3F7F5A4E} Ensemble Machine Learning_ Methods and Applications [Zhang & Ma 2012-02-17].pdf 7.4 MB
  • 1784392774 {B7BD4099} Building Machine Learning Systems with Python (2nd ed.) [Coelho & Richert 2015-03-31].pdf 7.4 MB
  • 1466583282 {1642C406} Machine Learning_ An Algorithmic Perspective (2nd ed.) [Marsland 2014-10-08].pdf 7.0 MB
  • 1783558741 {1108A8FC} Scala for Machine Learning [Nicolas 2014-12-31].pdf 6.8 MB
  • 1402032749 {DB0023FB} Machine Learning in Computer Vision [Sebe, Cohen, Garg & Huang 2005-08-05].pdf 6.8 MB
  • 3642212794 {704C88DD} From Curve Fitting to Machine Learning [Zielesny 2011].pdf 6.8 MB
  • 1784392774 {EF2E826B} Building Machine Learning Systems with Python (2nd ed.) [Coelho & Richert 2015-03-31].pdf 6.8 MB
  • 0470195150 {B55472D0} Statistical and Machine Learning Approaches for Network Analysis [Dehmer & Basak 2012-08-07].pdf 6.8 MB
  • 1598291009 {383DBBA6} Tensor Voting_ A Perceptual Organization Approach to Computer Vision and Machine Learning [Mordohai & Medioni 2006-11-21].pdf 6.8 MB
  • 1449374069 {F5CD61EB} Thoughtful Machine Learning_ A Test-Driven Approach [Kirk 2014-10-12].pdf 6.7 MB
  • 1430267674 {2A515E1C} Machine Learning Projects for .NET Developers [Brandewinder 2015-06-29].pdf 6.6 MB
  • 1782161406 {B2F78308} Building Machine Learning Systems with Python [Richert & Coelho 2013-07-26].pdf 6.5 MB
  • 1449306667 {59185621} Natural Language Annotation for Machine Learning_ A Guide to Corpus-... [Pustejovsky & Stubbs 2012-11-04].pdf 5.9 MB
  • 3319191349 {51E8340F} Machine Learning Paradigms_ Applications in Recommender Systems [Lampropoulos & Tsihrintzis 2015-06-15].pdf 4.9 MB
  • 1783288515 {2EE9DE78} Machine Learning with Spark [Pentreath 2014-12-08].pdf 4.8 MB
  • 0387310738 {073AD785} Pattern Recognition and Machine Learning [Bishop 2007-10-01].pdf 4.7 MB
  • 1439803692 {F52B2739} Applied Genetic Programming and Machine Learning [Iba, Paul & Hasegawa 2009-08-26].pdf 4.5 MB
  • 3642229093 {F600C514} Ensembles in Machine Learning Applications [Okun, Valentini & Re 2011-09-07].pdf 4.4 MB
  • 026218253X {75B83D7F} Gaussian Processes for Machine Learning [Rasmussen & Williams 2005-11-23].pdf 4.1 MB
  • 026201243X {B7139661} Introduction to Machine Learning (2nd ed.) [Alpaydin 2009-12-04].pdf 3.7 MB
  • 026202506X {84EF9494} Bioinformatics_ The Machine Learning Approach (2nd ed.) [Baldi & Brunak 2001-08-01].pdf 3.4 MB
  • 026202506X {FA6A75AC} BioInformatics_ The Machine Learning Approach (2nd ed.) [Baldi & Brunak 2001-08-01].pdf 3.4 MB
  • 3642194052 {1C14EAFB} Kernel-Based Data Fusion for Machine Learning_ Methods and Applications in Bioinformatics and Text Mining [Yu, Tranchevent, de Moor & Moreau 2011-03-26].pdf 3.4 MB
  • 0262023938 {9B5F0D4F} Inductive Logic Programming_ From Machine Learning to Software Engineering [Bergadano & Gunetti 1995-12-28].pdf 3.2 MB
  • 026201646X {D9F4CD24} Optimization for Machine Learning [Sra, Nowozin & Wright 2011-09-30].pdf 3.1 MB
  • 1107057132 {4F2476D2} Understanding Machine Learning_ From Theory to Algorithms [Shalev-Shwartz & Ben-David 2014-05-19].pdf 3.0 MB
  • 9814335452 {05716798} Introduction to Pattern Recognition and Machine Learning [Murty & Devi 2014-09-30].pdf 2.4 MB
  • 3540794514 {0465BC8F} Machine Learning_ Modeling Data Locally and Globally [Huang, Yang, King & Lyu 2008-09-10].pdf 2.3 MB
  • 3642209947 {0A744FD0} Combinatorial Machine Learning_ A Rough Set Approach [Moshkov & Zielosko 2011].pdf 1.9 MB
  • 1783281936 {02E78D2D} Learning scikit-learn_ Machine Learning in Python [Garreta & Moncecchi 2013-11-25].pdf 1.4 MB
  • 0262111527 {2CC622A1} The Computational Complexity of Machine Learning [Kearns 1990].pdf 795.2 kB

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！