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Лучшие результаты

  1. Mohammad H. Alomari,Rami S. Qahwaji and Stanley S. Ipson. Applied Machine Learning for Solar Data Processing. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.

Дополнительные результаты

  1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
  2. Karl M. Kapp, William F. Latham, Hester N. Ford-Latham, Karl M Kapp. Integrated Learning for ERP Success: A Learning Requirements Planning Approach. – М.: , 0. – 0 с.
  3. Anders Blomstermo, D. Deo Sharma. Learning in the Internationalisation Process of Firms (New Horizons in International Business). – М.: , 0. – 0 с.
  4. Simon P. Washington, Matthew G. Karlaftis, Fred L. Mannering. Statistical and Econometric Methods for Transportation Data Analysis. – М.: , 0. – 0 с.
  5. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
  6. Dimitris N. Chorofas, Dimitris N. Chorafas. Transaction Management: Managing Complex Transactions and Sharing Distributed Databases. – М.: , 0. – 0 с.
  7. Shouhong Wang, Earle P. Charlton. Analyzing Business Information Systems: An Object-Oriented Approach. – М.: , 0. – 0 с.
  8. W. R. J. Baets, Gert Van Der Linden. Virtual Corporate Universities: A Matrix of Knowledge and Learning for the New Digital Dawn (Integrated Series in Information Systems, 2). – М.: , 0. – 0 с.
  9. James S. Clark. Models for Ecological Data: An Introduction. – М.: , 2007. – 632 с.
  10. Dan Yaman, Missy Covington. I'll Take Learning for 500: Using Game Shows to Engage, Motivate, and Train (Pfeiffer Essential Resources for Training and HR Professionals (Paperback)). – М.: , 2006. – 272 с.
  11. Cheryl A. Stevens. Service Learning for Health, Physical Education, and Recreation: A Step-by-step Guide. – М.: , 2008. – 128 с.
  12. John A. Wanat. Learning for Earning: Your Route to Success. – М.: , 2008. – 526 с.
  13. MA, Brian R. MacPherson, PhD, Lawrence M Ross, MD, Michael Schuenke, Erik Schulte, Udo Schumacher. Atlas of Anatomy (Thieme Anatomy) (Thieme Anatomy). – М.: , 2008. – 672 с.
  14. Anne M. Gilroy, MA, Brian R. MacPherson, PhD, Lawrence M. Ross, MD, Michael Schuenke, Erik Schulte. Atlas of Anatomy (Thieme Anatomy). – М.: , 2008. – 656 с.
  15. Data Warehousing and Knowledge Discovery: 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings (Lecture Notes in Computer Science). – М.: , 2008. – 434 с.
  16. Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fA?r Klassifikation e.V., Albert-Ludwigs-UniversitA¤t ... Data Analysis, and Knowledge Organization). – М.: , 2008. – 720 с.
  17. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach: Understanding why some currency crises are followed by strong recesions but others are not. – М.: , 2010. – 472 с.
  18. Florian Hahne, Wolfgang Huber, Robert Gentleman, Seth Falcon. Bioconductor Case Studies (Use R). – М.: , 2008. – 284 с.
  19. Richard Petela. Engineering Thermodynamics of Thermal Radiation: for Solar Power Utilization. – М.: , 2010. – 416 с.
  20. S.Y. Kung, M.W. Mak, S.H. Lin. Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series). – М.: , 2010. – 496 с.
  21. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
  22. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
  23. Antonio Navarra, Valeria Simoncini. A Guide to Empirical Orthogonal Functions for Climate Data Analysis. – М.: , 2010. – 200 с.
  24. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
  25. Michael W. Berry, Jacob Kogan. Text Mining: Applications and Theory. – М.: Wiley-Blackwell, 2010. – 222 с.
  26. Luca Rossini. Brain Machine Interfaces for Space Applications: enhancing astronaut capabilities,86. – М.: , 2010. – 296 с.
  27. Bertrand Braunschweig. Software Architectures and Tools for Computer Aided Process Engineering,11. – М.: , 2010. – 712 с.
  28. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
  29. Tetsuo Soga. Nanostructured Materials for Solar Energy Conversion. – М.: , 2010. – 614 с.
  30. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  31. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
  32. F. Holland. Fluid Flow for Chemical and Process Engineers. – М.: , 2010. – 384 с.
  33. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
  34. Giridhar D. Mandyam. Third Generation CDMA Systems for Enhanced Data Services. – М.: , 2010. – 300 с.
  35. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с.
  36. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с.
  37. JD COUGER. Couger ?slide Manual? & Guide For Supermarket Case In ?first Course? In Data Process 3ed Etc. – М.: , 1984. – 128 с.
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  39. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с.
  40. Ferber. English Japanese /Japanese English Dictionary of Computer & Data Processing Terms. – М.: , 1989. – 0 с.
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  43. J R JOHNSON. Johnson: Managing For Productivity In Data Processing (pr Only). – М.: , 1993. – 0 с.
  44. MJ COMPUTER. Ball Data Processing In Medicine: How To Select A Computerized Hospital Information Systm. – М.: , 1973. – 0 с.
  45. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
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  48. JD COUGER. Couger ?first Course? In Data Processing With Basi C Cobol Fortran And Rpg 2ed. – М.: , 1981. – 532 с.
  49. Annie Gal. Prolog for Natural Language Processing. – М.: , 1991. – 320 с.
  50. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
  51. Dino Esposito. Applied XML Programming for Microsoft .NET. – М.: , 2002. – 720 с.
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  56. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
  57. Benson Farb. Design for Embedded Image Processing on FPGAs. – М.: , 2011. – 552 с.
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  59. J STUTZ. Stutz Data Processing In Medicine – Internationale ?klassifikation?krankheiten Revised 2ed. – М.: , 1978. – 0 с.
  60. JD COUGER. Couger ?first Course? In Data Processing (paper On Ly). – М.: , 1977. – 558 с.
  61. F WIDER. Wider Data Processing In Medicine: Psychoactive Dr Ugs Incl Conbinations. – М.: , 1974. – 0 с.
  62. Stone & Webster Engineering Corporation. Risk Assessment and Risk Management for the Chemical Process Industry. – М.: , 1991. – 392 с.
  63. James S Clark. Models for Ecological Data – An Introduction. – М.: , 2007. – 544 с.
  64. DR SLOGGETT. Sloggett: ?satellite? Data: Processing Archiving & Dissemination: Func Oper Pri & Des. – М.: , 1989. – 294 с.
  65. JD COUGER. Couger First Course In ?data? Processing With Basi C. – М.: , 1981. – 444 с.
  66. James S Clark. Models for Ecological Data Lab Manual. – М.: , 2007. – 152 с.
  67. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с.
  68. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с.
  69. DR SLOGGETT. Sloggett: ?satellite? Data: Processing Archiving & Dissemination: Applica & Infrastructure. – М.: , 1989. – 178 с.
  70. Gail A Carpenter. Neural Networks for Vision & Image Processing. – М.: , 1992. – 486 с.
  71. M BECKER. Becker: Electronic ?data? Processing In Practice A Handbook For Users. – М.: , 1989. – 616 с.
  72. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с.
  73. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с.
  74. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с.
  75. Vilijandas Bagdonavicus. Nonparametric Tests for Censored Data. – М.: , 2010. – 0 с.
  76. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с.
  77. Martin L. Harris. Introduction to Data Processing. – М.: , 1986. – 244 с.
  78. Machine Learning. – М.: , 1997. – 0 с.
  79. Teacher Learning For Educational Change. – М.: , 2011. – 0 с.
  80. Teacher Learning For Educational Change. – М.: , 2011. – 0 с.
  81. Ian H. Witten, Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). – М.: , 2005. – 560 с.
  82. Roland K. Yeo. Organisational Development in the 21st Century: Learning for Success - Lessons from Singapore's Learning Organisations. – М.: VDM Verlag Dr. Muller, 2009. – 212 с.
  83. Ehmann S., Borges S. Learn for Life: New Architecture for New Learning. – М.: , 2012. – 288 с.
  84. Ajao K.R. and Kadiri Samuel. Tilt Angle for Solar Panels:Interface for Determining Parameters. – М.: LAP Lambert Academic Publishing, 2014. – 164 с.
  85. Fasil Alemeye. Automatic Amharic news text classification with C# and Python. – М.: LAP Lambert Academic Publishing, 2013. – 60 с.
  86. Atul Mohod and Sudhir Jain. Renewable Energy Technologies for Cashew Nut Processing. – М.: LAP Lambert Academic Publishing, 2012. – 332 с.
  87. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
  88. Gurpreet Kaur. Rice Grading System for Embedded Image Processing. – М.: LAP Lambert Academic Publishing, 2014. – 96 с.
  89. Rayimjon Aliev. Polycrystalline wafers from powder Silicon for Solar cells. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  90. Trung-Thanh Le. Multimode Interference Structures for Photonic Signal Processing. – М.: LAP Lambert Academic Publishing, 2010. – 328 с.
  91. Ganesh E. Patil and Gotan H. Jain. Thin films for solar cell applications. – М.: LAP Lambert Academic Publishing, 2011. – 112 с.
  92. Alvina Sheeley. Learning For Cambodian Women. – М.: Scholars' Press, 2014. – 188 с.
  93. Dilli Ram Dhakal and Binil Aryal. Study of Massive Far-IR Nebula around Fornax Globular Cluster. – М.: LAP Lambert Academic Publishing, 2012. – 80 с.
  94. Akbar I. Inamdar and Pramod S. Patil. Nanocrystalline Zinc Oxide Thin Films for Solar Cell. – М.: LAP Lambert Academic Publishing, 2010. – 172 с.
  95. Mohammad H. Alomari,Rami S. Qahwaji and Stanley S. Ipson. Applied Machine Learning for Solar Data Processing. – М.: LAP Lambert Academic Publishing, 2011. – 152 с.
  96. Mukund Kumar. Future prospects for Indian food processing industry. – М.: LAP Lambert Academic Publishing, 2011. – 56 с.
  97. Athimulam Kalirasu. Non Isolated Soft Switching DC-DC Converter for Solar Installation. – М.: LAP Lambert Academic Publishing, 2012. – 56 с.
  98. Abhishek Dutta Chowdhury. Transition Metal Derived Catalysts for Selective Oxidation Processes. – М.: Scholars' Press, 2012. – 176 с.
  99. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.
  100. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
  101. Damodar Reddy Edla and Prasanta K. Jana. Clustering Algorithms for Biological Data. – М.: LAP Lambert Academic Publishing, 2013. – 148 с.
  102. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  103. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
  104. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
  105. Anupalli Sudhakaraiah and V. Ramalatha. Studies On Dominating Sets Of I G & C A Graphs Using Algorithms. – М.: LAP Lambert Academic Publishing, 2014. – 180 с.
  106. Mohammad A.ra'of A.ghani Alrwashdeh. Nuclear Data Processing and Evaluation. – М.: LAP Lambert Academic Publishing, 2014. – 104 с.
  107. Chinthakuntla Ashok. CdS Nanoparticles and Thinfilms for Solar Cell Application. – М.: LAP Lambert Academic Publishing, 2013. – 124 с.
  108. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  109. Siva S. Sivatha Sindhu,S. Geetha and S. Selvakumar. Network Intrusion Detection System using Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2013. – 80 с.
  110. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  111. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  112. Liliana Calderon-Benavides. Identifying the User's Query Intent in Web Search. – М.: LAP Lambert Academic Publishing, 2012. – 136 с.
  113. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  114. Wole Olatokun. Information Technology Tools and Applications. – М.: LAP Lambert Academic Publishing, 2011. – 296 с.
  115. Thuy Pham Thi Thu and Young-Koo Lee. Hybrid Similarity Measure for XML Data Integration and Transformation. – М.: LAP Lambert Academic Publishing, 2014. – 96 с.
  116. Noormadinah Allias,Megat Norulazmi Megat Mohamed Noor and Mohd. Nazri Ismail. Email Filtering Based On Swarm Intelligence via Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 196 с.
  117. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  118. Samir Desai. Real Time Pattern Recognition Algorithm. – М.: LAP Lambert Academic Publishing, 2011. – 72 с.
  119. Arpana Rawal,H. R. Sharma and Mahoj Kumar Kowar. Machine Learning for Text Document Relevance Ranking. – М.: LAP Lambert Academic Publishing, 2014. – 180 с.
  120. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  121. Kester Quist-Aphetsi. A Novel Cryptographic Key-exchange Algorithm. – М.: LAP Lambert Academic Publishing, 2012. – 108 с.
  122. Patrick D. Kihoza. ICT and Project Based Learning for Sustainable Conservation Education. – М.: LAP Lambert Academic Publishing, 2012. – 116 с.
  123. Faicel Chamroukhi. Probabilistic Learning From Longitudinal Data. – М.: LAP Lambert Academic Publishing, 2011. – 252 с.
  124. Jyotsana Pandey,Swinder Jeet Singh Kalra and Alka Dubey. AI With Bioinformatics Via The Machine Learning Approaches. – М.: LAP Lambert Academic Publishing, 2013. – 96 с.
  125. Lum Zhaveli. Gauging affectivity in social networks. – М.: LAP Lambert Academic Publishing, 2013. – 136 с.
  126. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
  127. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  128. Kshitij Dhoble. Active Learning for Image Recognition and Retrieval. – М.: LAP Lambert Academic Publishing, 2011. – 128 с.
  129. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  130. Rajani Kamath. Artificial Intelligence - The Basics. – М.: LAP Lambert Academic Publishing, 2014. – 220 с.
  131. Haralampos Karanikas. Text Mining to Support Business Intelligence. – М.: LAP Lambert Academic Publishing, 2010. – 220 с.
  132. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  133. Nigel Struble. Measuring Glycemic Variability and Predicting Blood Glucose Levels. – М.: LAP Lambert Academic Publishing, 2014. – 100 с.
  134. Suresh Veluru and Viswanath Pulabaigari. Scalable Non-Parametric Pattern Recognition Techniques for Data Mining. – М.: LAP Lambert Academic Publishing, 2011. – 116 с.
  135. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с.
  136. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  137. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 с.
  138. M. Moses Antony Rajendran. Business Data Processing and BASIC Language. – М.: , 2012. – 240 с.
  139. Kevin P. Murphy. Machine Learning: A Probabilistic Perspective. – М.: The MIT Press, 2012. – 1104 с.
  140. Jason Bell. Machine Learning: Hands??“On for Developers and Technical Professionals. – М.: , 2014. –  с.

Лучшие результаты

Ничего не найдено

Дополнительные результаты

  1. Применение интеллектуального анализа данных. data mining в управлении страховой компанией. Ю.В. Грызенкова, З.Ф. Шарифьянова, "Управление в страховой компании", № 4, октябрь-декабрь 2007.
  2. BUSINESS PROCESS MANAGEMENT: система для руководителя. А. Крючкова, "Финансовая газета. Региональный выпуск", № 24, июнь 2005.
  3. Необходимые и достаточные условия e-learning. М. Удовиченко, "Финансовая газета. Региональный выпуск", № 45, ноябрь 2004.
  4. Мы можем управлять собственными мыслями. интервью с С. Харитоновым, врачом-психотерапевтом, психиатором, кандидатом медицинских наук, старшим научным сотрудником Московского НИИ психиатрии Росздрава РФ, членом-корреспондентом Международной академии наук. МАНЭБ, членом Британского общества когнитивных и поведенческих психотерапевтов. Membership British Association for Behavioural & Cognitive Psychoterapies / BABCP. Ф. Кульпин, "Управление персоналом", N 8, апрель 2011 г.
  5. Зачетная реструктуризация долга: институт DEBT-FOR-EQUITY SWAP в России". интервью с М. Григорьевым, старшим юристом корпоративной практики юридической фирмы "Вегас-Лекс". О. Бодрягина, "эж-ЮРИСТ", № 3, январь 2010.
  6. E-learning - противоядие от рутины. О. Сизова, "Расчет", № 10, октябрь 2008.
  7. Управление проектами при подборе персонала. PM for HR. Е. Кривов, "Кадровик. Рекрутинг для кадровика", № 9, сентябрь 2008.

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Уже прошла предзащиту, сказали, что работа после вашего сопровождения хорошая)) Спасибо вам!