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  1. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.

Дополнительные результаты

  1. Laszlo Gyorfi. Machine Learning for Financial Engineering (Advances in Computer Science and Engineering: Texts). – М.: , 2012. – 250 с.
  2. Kevin Maney. The Maverick and His Machine: Thomas Watson, Sr. and the Making of IBM. – М.: Wiley, 2003. – 416 с.
  3. Morris H. DeGroot, Mark J. Schervish. Probability and Statistics. – М.: Addison Wesley Publishing Company, 2002. – 832 с.
  4. Jamil Baz, George Chacko. Financial Derivatives: Pricing, Applications, and Mathematics. – М.: , 0. – 0 с.
  5. Richard A. McCormack. Lean Machines: Learning From the Leaders of the Next Industrial Revolution. – М.: , 0. – 0 с.
  6. Richard Johnson, Irwin Miller, John Freund. Miller & Freund's Probability and Statistics for Engineers (7th Edition). – М.: , 2004. – 656 с.
  7. Florence Fay Pritchard, III, George I. Whitehead. Serve and Learn: Implementing and Evaluating Service-learning in Middle and High Schools. – М.: , 2004. – 274 с.
  8. Leland Gerson Neuberg. Conceptual Anomalies in Economics and Statistics: Lessons from the Social Experiment. – М.: , 2008. – 379 с.
  9. Walter A. Rosenkrantz. Introduction to Probability and Statistics for Science, Engineering, and Finance. – М.: , 2008. – 680 с.
  10. 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.
  11. 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.
  12. 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.
  13. Pierre Henry-Labordere. Analysis, Geometry, and Modeling in Finance (Chapman & Hall/Crc Financial Mathematics Series). – М.: , 2008. – 400 с.
  14. Gerald van Belle. Statistical Rules of Thumb (Wiley Series in Probability and Statistics). – М.: , 2008. – 272 с.
  15. Advances in Mathematical and Statistical Modeling (Statistics for Industry and Technology). – М.: , 2008. – 374 с.
  16. Jeff Cheeger and David G. Ebin. Comparison Theorems in Riemannian Geometry (AMS Chelsea Publishing). – М.: , 2008. – 161 с.
  17. American Medical Association. State Medical Licensure Requirements and Statistics 2009 (State Medical Licensure Requirements and Statistics). – М.: , 2008. – 140 с.
  18. Dan Abramovich, Marcos Marino, Michael Thaddeus, Ravi Vakil. Enumerative Invariants in Algebraic Geometry and String Theory: Lectures given at the C.I.M.E. Summer School held in Cetraro, Italy, June 6-11, 2005 (Lecture ... Mathematics / Fondazione C.I.M.E., Firenze). – М.: , 2008. – 210 с.
  19. A. Kozak, R. Kozak, C. Staudhammer, S. Watts. Introductory Probability and Statistics: Applications for Forestry and Natural Sciences (Modular Texts). – М.: , 2008. – 448 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. Philipp Koehn. Statistical Machine Translation. – М.: , 2010. – 446 с.
  22. Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 524 с.
  23. Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski (Studies in Computational Intelligence). – М.: , 2010. – 532 с.
  24. Encyclopedia of Machine Learning. – М.: , 2010. – 1020 с.
  25. Julius S. Bendat. Random Data: Analysis and Measurement Procedures (Wiley Series in Probability and Statistics). – М.: , 2010. – 640 с.
  26. Yasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu. Multivariate Statistics: High-Dimensional and Large-Sample Approximations (Wiley Series in Probability and Statistics). – М.: , 2010. – 533 с.
  27. Craig Adam. Essential Mathematics and Statistics for Forensic Science. – М.: , 2010. – 366 с.
  28. Reinhard Viertl. Fuzzy Data and Statistics. – М.: , 2011. – 256 с.
  29. Richard A. Epstein. The Theory of Gambling and Statistical Logic. – М.: , 2010. – 0 с.
  30. Ewald Fuchs. Power Quality in Power Systems and Electrical Machines. – М.: , 2010. – 664 с.
  31. Alan R. Kimmel. DNA Microarrays, Part B: Databases and Statistics,411. – М.: , 2010. – 512 с.
  32. George G. Roussas. An Introduction to Probability and Statistical Inference. – М.: , 2010. – 523 с.
  33. Balas K. Natarajan. Machine Learning. – М.: , 2010. – 217 с.
  34. Y. Anzai. Pattern Recognition & Machine Learning. – М.: , 2010. – 407 с.
  35. Josip E. Peajcariaac. Convex Functions, Partial Orderings, and Statistical Applications. – М.: , 2010. – 467 с.
  36. Katharina Morik. Knowledge Acquisition and Machine Learning. – М.: , 2010. – 305 с.
  37. Ronald Deep. Probability and Statistics. – М.: , 2010. – 712 с.
  38. Ida Stockman. Movement and Action in Learning and Development. – М.: , 2010. – 400 с.
  39. Ryszard S. Michalski. Machine Learning. – М.: , 2010. – 572 с.
  40. Author Unknown. Projective geometry and projective metrics,3. – М.: , 2010. – 0 с.
  41. Sheldon M. Ross. Introduction to Probability and Statistics for Engineers and Scientists. – М.: , 2010. – 680 с.
  42. Isaac Chavel. Eigenvalues in Riemannian Geometry,115. – М.: , 2010. – 362 с.
  43. Barrett O'Neill. Semi-Riemannian Geometry With Applications to Relativity, 103,103. – М.: , 2010. – 468 с.
  44. Walter A. Meyer. Geometry and Its Applications. – М.: , 2010. – 560 с.
  45. Sheldon M. Ross. Introduction to Probability and Statistics for Engineers and Scientists. – М.: , 2010. – 640 с.
  46. William M. Boothby. An Introduction to Differentiable Manifolds and Riemannian Geometry, Revised,120. – М.: , 2010. – 400 с.
  47. Phil Attard. Thermodynamics and Statistical Mechanics. – М.: , 2010. – 450 с.
  48. Igusa. Algebraic Analysis, Geometry, and Number Theory. – М.: , 1990. – 0 с.
  49. Ethem Alpaydin. Introduction to Machine Learning 2e (OISC). – М.: , 2010. – 584 с.
  50. Patricia Cranton. Understanding and Promoting Transformative Learning. – М.: , 2006. – 240 с.
  51. Etham Alpaydin. Introduction to Machine Learning (OIP). – М.: , 2004. – 400 с.
  52. Wosk. Women and the Machine. – М.: , 2002. – 0 с.
  53. Richard Evan Schwartz. Spherical CR Geometry and Dehn Surgery. – М.: , 2007. – 200 с.
  54. Richard Evan Schwartz. Spherical CR Geometry and Dehn Surgery. – М.: , 2007. – 200 с.
  55. William M Chace. One Hundred Semesters – My Adventures as a Student, Professor and President and What I Learned Along the Way. – М.: , 2006. – 344 с.
  56. Karl M. Kapp. Gadgets, Games and Gizmos for Learning. – М.: , 2007. – 448 с.
  57. Lise Getoor. Introduction to Statistical Relational Learning. – М.: , 2007. – 796 с.
  58. Olivier Druet. Blow–Up Theory for Elliptic PDEs in Riemannian Geometry. – М.: , 2004. – 224 с.
  59. Sheldon M. Ross. Introduction to Probability and Statistics for Engineers and Scientists. – М.: , 1987. – 512 с.
  60. WW HINES. Hines ?probability? And Statistics In Engineering & Management Science 2ed. – М.: , 1980. – 634 с.
  61. Brednan Jf Frey. Graphical Models for Machine Learning & Digital Communications. – М.: , 1998. – 220 с.
  62. Harvey Gould. Thermal and Statistical Physics Simulations. – М.: , 1995. – 168 с.
  63. Hida. Contributions to Automorphic Forms, Geometry and Number Theory. – М.: , 2004. – 944 с.
  64. When, Where, What, and How Youth Learn: Blurring School and Community Boundaries. – М.: , 2003. – 160 с.
  65. Kerry Malawista. Wearing my Tutu to Analysis and Other Stories – Learning Psychodynamic Concepts from Life. – М.: , 2011. – 192 с.
  66. Kerry Malawista. Wearing my Tutu to Analysis and Other Stories – Learning Psychodynamic Concepts from Life. – М.: , 2011. – 192 с.
  67. Professor Dietrich Stoyan. Stochastic Geometry and its Applications. – М.: , 2008. – 456 с.
  68. Joaquin Quinone Quinonero–cande. Dataset Shift in Machine Learning. – М.: , 2009. – 248 с.
  69. Lito Tejada–Flores. 2000–2001 Mathematics and Statistics Catalog. – М.: , 2001. – 0 с.
  70. Serre. Geometry and Number Theory. – М.: , 1983. – 0 с.
  71. Mj Kearns. The Computational Complexity of Machine Learning. – М.: , 1990. – 184 с.
  72. RE SONNTAG. Sonntag ?introduction? To Thermodynamics – Classic Al And Statistical. – М.: , 1971. – 814 с.
  73. Gilbert Harman. Reliable Reasoning – Induction and Statistical Learning Theory. – М.: , 2007. – 114 с.
  74. DS MANN. Mann Relativity Mechanics And Statistical ?physics ?. – М.: , 1981. – 240 с.
  75. Bimalendu Narayan Roy. Fundamentals of Classical and Statistical Thermodynamics. – М.: , 2002. – 768 с.
  76. Wheeler. Lies, Damn Lies and Statistics. – М.: , 2007. – 0 с.
  77. RS FORSYTH. Forsyth ?machine? Learning – Applications In Exper T Systems & Information Retrieval. – М.: , 1986. – 278 с.
  78. William W. Hines. Probability and Statistics in Engineering and Management Science. – М.: , 1990. – 752 с.
  79. Ferguson. The Various and Ingenious Machines of Captain Agos tino Ramelli. – М.: , 1976. – 0 с.
  80. Jens Erik Fenstad. Grammar, Geometry and Brain. – М.: , 2010. – 120 с.
  81. Wosk. Women and the Machine. – М.: , 2003. – 316 с.
  82. TJ WILLMORE. Willmore Global Riemannian ?geometry?. – М.: , 1984. – 214 с.
  83. Wiley & Sons, I. Mathematics and Statistics 2004 Titles Catalog. – М.: , 2003. – 0 с.
  84. Joel Best. More Damned Lies and Statistics – How Numbers Confuse Public Issues. – М.: , 2004. – 222 с.
  85. G TOTH. Toth: ?harmonic? And Minimal Maps – With Applicati Ons In Geometry And Physics. – М.: , 1984. – 348 с.
  86. MV SWEET. Sweet ?algebra? Geometry And Trigonometry In Scien Ce Engineering & Mathematics. – М.: , 1984. – 618 с.
  87. Dr. Graham Currell. Essential Mathematics and Statistics for Science. – М.: , 2009. – 404 с.
  88. Steven Strogatz. The Calculus of Friendship – What a Teacher and a Student Learned about Life while Corresponding about Math. – М.: , 2009. – 192 с.
  89. Wiley & Sons, I. Mathematics and Statistics 2003 Titles Catalog. – М.: , 2002. – 0 с.
  90. Peter H. Selby. Geometry and Trigonometry for Calculus. – М.: , 1975. – 432 с.
  91. SA NASAR. Nasar Electromechanics And ?electric? Machines 2ed. – М.: , 1983. – 462 с.
  92. Francesco Bergadano. Inductive Logic Programming – From Machine Learning to Software Engineering. – М.: , 1996. – 256 с.
  93. Hojjat Adeli. Machine Learning. – М.: , 1994. – 212 с.
  94. Harry M Collins. Artificial Experts – Social Knowledge and Intelligent Machines. – М.: , 1993. – 280 с.
  95. Michael W Davis. Geometry and Topology of Coxeter Groups. – М.: , 2007. – 552 с.
  96. Carl Edward Rasmussen. Gaussian Processes for Machine Learning. – М.: , 2006. – 272 с.
  97. TJ WILLMORE. Willmore: Total ?curvature? In Riemannian Geometry (paper). – М.: , 1983. – 168 с.
  98. J Carbonell. Machine Learning – Paradigms and Methods. – М.: , 1990. – 400 с.
  99. Pierre Baldi. Bioinformatics – The Machine Learning Approach 2e (OI) (S). – М.: , 2001. – 400 с.
  100. Pierre Baldi. Bioinformatics – The Machine Learning Approach. – М.: , 1998. – 370 с.
  101. Eugene Charniak. Statistical Language Learning (Paper). – М.: , 1996. – 190 с.
  102. Eugene Charniak. Statistical Language Learning. – М.: , 1994. – 190 с.
  103. Introduction To Probability And Statistics: Principles And Applications For Engineering And The Computing Sciences. – М.: , 2002. – 832 с.
  104. Affect In Foreign Language And Second Language Learning. – М.: , 1999. – 288 с.
  105. Machine Learning. – М.: , 1997. – 0 с.
  106. 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.
  107. Asmatullah Chaudhry. Image Processing using Punctual Kriging and Machine Learning. – М.: LAP Lambert Academic Publishing, 2009. – 116 с.
  108. Bhupendra Nath Tiwari. On the Intrinsic Geometry of Instanton Vacua. – М.: LAP Lambert Academic Publishing, 2011. – 108 с.
  109. 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.
  110. Bhupendra Nath Tiwari. Thermodynamic Geometry and Cosmological Constant. – М.: LAP Lambert Academic Publishing, 2012. – 128 с.
  111. Padmakar Ghule,Vijay Balsane and Vinayakrao Dahiphale. Plant Geometry and Nutrient Levels on Productivity of Bt Cotton. – М.: LAP Lambert Academic Publishing, 2013. – 140 с.
  112. Vadim Rukavitsyn. Ecosystem Condition Modeling Using Machine Learning Tools. – М.: LAP Lambert Academic Publishing, 2015. – 132 с.
  113. Guy Lebanon. Riemannian Geometry and Statistical Machine Learning. – М.: LAP Lambert Academic Publishing, 2015. – 140 с.
  114. Vishwa Nath Maurya,Diwinder Kaur Arora and Avadhesh Kumar Maurya. Advanced Probability Theory And Statistical Techniques. – М.: Scholars' Press, 2014. – 536 с.
  115. M.Vijaya Bhaskar Reddy,C. Umashankar and Balasiddamuni Pagadala. On Mathematical and Statistical Forecasting Models. – М.: LAP Lambert Academic Publishing, 2013. – 284 с.
  116. Nataliia Semenenko. Diagnosis of Cross-Browser Compatibility Issues via Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 68 с.
  117. Aneta Trajanov. Machine learning in agroecology. – М.: LAP Lambert Academic Publishing, 2011. – 140 с.
  118. Sharad Shandilya. Machine Learning and Non-Linear Dynamics to the Rescue. – М.: Scholars' Press, 2013. – 88 с.
  119. Mark Rossman. Automated Detection of Hematological Patterns Through Machine Learning. – М.: LAP Lambert Academic Publishing, 2014. – 128 с.
  120. Rejwanul Haque. Use of Source-Language Context in Statistical Machine Translation. – М.: LAP Lambert Academic Publishing, 2012. – 228 с.
  121. 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.
  122. Soumyajit Dey and Anupam Basu. Embedded Architectures for Speech and Machine Learning. – М.: LAP Lambert Academic Publishing, 2010. – 128 с.
  123. Fan Liu. A New Modeling for Knowledge Transfer in Machine Learning. – М.: LAP Lambert Academic Publishing, 2011. – 88 с.
  124. Tanzila Saba and Amjad Rehman. Machine Learning and Script Recognition. – М.: LAP Lambert Academic Publishing, 2012. – 168 с.
  125. 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.
  126. Mehmet ACI. DEVELOPMENT OF TWO HYBRID CLASSIFICATION METHODS FOR MACHINE LEARNING. – М.: LAP Lambert Academic Publishing, 2011. – 48 с.
  127. Kunwar Babar Ali. Quality Prediction using Machine Learning Technique(MLT). – М.: LAP Lambert Academic Publishing, 2012. – 76 с.
  128. Onjira Sitthisak and Lester Gilbert. Competence Modelling and Technology-Enhanced Learning. – М.: Scholars' Press, 2014. – 288 с.
  129. 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.
  130. Thanh-Quang Chu. Agent-based models and machine learning in decision support systems. – М.: LAP Lambert Academic Publishing, 2015. – 208 с.
  131. Leonardo Rigutini. Automatic Text Processing: Machine Learning Techniques. – М.: LAP Lambert Academic Publishing, 2010. – 148 с.
  132. Rajnish Kumar,Anju Sharma and Pritish Kumar Varadwaj. Machine Learning and Biological Data. – М.: LAP Lambert Academic Publishing, 2011. – 64 с.
  133. Sheetal Dabra and Sunil Agrawal. Identification of Handwritten Characters using Machine Learning. – М.: LAP Lambert Academic Publishing, 2013. – 84 с.
  134. Ying Cui. High Dimensional Clustering and Applications of Learning Methods. – М.: LAP Lambert Academic Publishing, 2009. – 160 с.
  135. Jiri Petrzelka. Statistical Machine Translation. – М.: LAP Lambert Academic Publishing, 2011. – 84 с.
  136. Ismael Arciniegas Rueda. Explaining Currency Crises: A Statistical Machine Learning Approach. – М.: LAP Lambert Academic Publishing, 2010. – 472 с.
  137. Victor Boyarshinov. Machine Learning In Computational Finance. – М.: LAP Lambert Academic Publishing, 2012. – 88 с.
  138. Saul Kornik. Machine Learning for Corporate Failure Prediction. – М.: LAP Lambert Academic Publishing, 2012. – 364 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. Наука человековедения. интервью с Д. Уолтоном, профессором London Metropolitan University, экспертом CIPD. Chartered Institute of Personnel and Development, автором программы Master of Arts in Human Resource Strategies. И. Смирнова, "Кадровый менеджмент", № 5, июль-август 2007.
  2. Специализированный модуль FS-CD. Collections and Disbursements - "Сборы и Выплаты" и его возможности. О.А. Глущенко, "Финансовый менеджмент в страховой компании", № 2, II квартал 2007.
  3. Бюджетирование страховой компании на базе Oracle Enterprise Planning and Budgeting. Д.В. Лесоводский, "Финансовый менеджмент в страховой компании", № 3, III квартал 2006.
  4. Необходимые и достаточные условия e-learning. М. Удовиченко, "Финансовая газета. Региональный выпуск", № 45, ноябрь 2004.
  5. Регулирование операций торгового финансирования: новые инициативы. интервью с Д. Шмандом, вице-председателем Банковской комиссии ICC по supply chain finance, главой подразделения Trade Finance and Cash Management Corporates EMEA в Global Transaction Banking. GTB division Deutsche Bank. Н. Макарова, "Международные банковские операции", N 2, апрель-июнь 2012 г.
  6. Ужин в темноте в стиле Малевича и Новый год в Хаммере". Что может выть лучше?". интервью с Н. Саниной, индивидуальным предпринимателем и креативным директором компании "San and stars". М. Сипатова, "Арсенал предпринимателя", N 12, декабрь 2011 г.
  7. На пути к новому стандарту в торговом финансировании. интервью с А.  Кастерманом, руководителем Trade and Supply Chain, SWIFT, сопредседателем рабочей группы ICC-BPO. Э. Шакирова, "Международные банковские операции", N 4, октябрь-декабрь 2011 г.
  8. Уильям Савадж: Мотивировать людей в Нижнем Новгороде и Новосибирске нужно по-разному". интервью с У. Саваджем, вице-президентом корпорации Intel, подразделение Software and Services Group. М. Холкина, "Управление персоналом", N 14, июль 2010 г.
  9. Цены под контролем: the present and the future. С. Стройкова, И. Леметюйнен, "Консультант", № 19, сентябрь 2009.
  10. E-learning - противоядие от рутины. О. Сизова, "Расчет", № 10, октябрь 2008.

Образцы работ

Тема и предметТип и объем работы
Негентропия и деградация энергии
Информатика
Реферат
10 стр.
Взаимосвязь темпов роста населения и экономического развития как одна из глобальных проблем человечества. Демографическая политика.
Мировая экономика
Курсовая работа
32 стр.
Региональные особенности демографической ситуации в мире
Управление персоналом
Курсовая работа
32 стр.
Межстрановой анализ рождаемости и благосостояния населения (на примере Африки)
Экономическая география
Реферат
8 стр.

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Спешу поделиться радостной новостью, научный руководитель одобрил работу после вашего сопровождения. За что Вам огромное спасибо. Спасибо за консультацию.