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Computer Science

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  • 文件大小:2GB
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  • 最近下载:2021-09-05 05:12:18
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文件列表

  1. Data Science and Predictive Analytics - Ivo D. Dinov, 1st ed. 2018 - 978-3-319-72347-1.epub 440MB
  2. Introductory Computer Forensics - Xiaodong Lin, 1st ed. 2018 - 978-3-030-00581-8.epub 160MB
  3. Fundamentals of Java Programming - Mitsunori Ogihara, 1st ed. 2018 - 978-3-319-89491-1.epub 112MB
  4. Data Science and Predictive Analytics - Ivo D. Dinov, 1st ed. 2018 - 978-3-319-72347-1.pdf 65MB
  5. Computer Vision - Richard Szeliski, 2011 - 978-1-84882-935-0.pdf 53MB
  6. Java in Two Semesters - Quentin Charatan, Aaron Kans, 4th ed. 2019 - 978-3-319-99420-8.epub 50MB
  7. Advanced Guide to Python 3 Programming - John Hunt, 1st ed. 2019 - 978-3-030-25943-3.epub 43MB
  8. Java in Two Semesters - Quentin Charatan, Aaron Kans, 4th ed. 2019 - 978-3-319-99420-8.pdf 42MB
  9. Systems Programming in Unix-Linux - K.C. Wang, 1st ed. 2018 - 978-3-319-92429-8.epub 36MB
  10. A Beginner's Guide to Scala, Object Orientation and Functional Programming - John Hunt, 2nd ed. 2018 - 978-3-319-75771-1.pdf 35MB
  11. Digital Image Processing - Wilhelm Burger, Mark J. Burge, 2nd ed. 2016 - 978-1-4471-6684-9.pdf 33MB
  12. Fundamentals of Java Programming - Mitsunori Ogihara, 1st ed. 2018 - 978-3-319-89491-1.pdf 33MB
  13. Introductory Computer Forensics - Xiaodong Lin, 1st ed. 2018 - 978-3-030-00581-8.pdf 30MB
  14. A Beginners Guide to Python 3 Programming - John Hunt, 1st ed. 2019 - 978-3-030-20290-3.pdf 29MB
  15. Neural Networks and Deep Learning - Charu C. Aggarwal, 1st ed. 2018 - 978-3-319-94463-0.epub 28MB
  16. A Beginners Guide to Python 3 Programming - John Hunt, 1st ed. 2019 - 978-3-030-20290-3.epub 26MB
  17. Fundamentals of Business Process Management - Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers, 2nd ed. 2018 - 978-3-662-56509-4.pdf 24MB
  18. Foundations of Programming Languages - Kent D. Lee, 2nd ed. 2017 - 978-3-319-70790-7.pdf 24MB
  19. Automata and Computability - Dexter C. Kozen, 1997 - 978-1-4612-1844-9.pdf 24MB
  20. Advanced Guide to Python 3 Programming - John Hunt, 1st ed. 2019 - 978-3-030-25943-3.pdf 23MB
  21. Fundamentals of Multimedia - Ze-Nian Li, Mark S. Drew, Jiangchuan Liu, 2nd ed. 2014 - 978-3-319-05290-8.pdf 22MB
  22. Analysis for Computer Scientists - Michael Oberguggenberger, Alexander Ostermann, 2nd ed. 2018 - 978-3-319-91155-7.epub 18MB
  23. The Data Science Design Manual - Steven S. Skiena, 1st ed. 2017 - 978-3-319-55444-0.pdf 17MB
  24. Data Mining - Charu C. Aggarwal, 2015 - 978-3-319-14142-8.pdf 16MB
  25. Modelling Computing Systems - Faron Moller, Georg Struth, 2013 - 978-1-84800-322-4.pdf 15MB
  26. Fundamentals of Multimedia - Ze-Nian Li, Mark S. Drew, Jiangchuan Liu, 2nd ed. 2014 - 978-3-319-05290-8.epub 15MB
  27. Eye Tracking Methodology - Andrew T. Duchowski, 3rd ed. 2017 - 978-3-319-57883-5.pdf 14MB
  28. The Python Workbook - Ben Stephenson, 2014 - 978-3-319-14240-1.pdf 14MB
  29. Introduction to Artificial Intelligence - Wolfgang Ertel, 2nd ed. 2017 - 978-3-319-58487-4.pdf 13MB
  30. Data Structures and Algorithms with Python - Kent D. Lee, Steve Hubbard, 2015 - 978-3-319-13072-9.pdf 13MB
  31. Data Structures and Algorithms with Python - Kent D. Lee, Steve Hubbard, 2015 - 978-3-319-13072-9.epub 12MB
  32. Object-Oriented Analysis, Design and Implementation - Brahma Dathan, Sarnath Ramnath, 2nd ed. 2015 - 978-3-319-24280-4.pdf 12MB
  33. Neural Networks and Deep Learning - Charu C. Aggarwal, 1st ed. 2018 - 978-3-319-94463-0.pdf 11MB
  34. A Beginner's Guide to Scala, Object Orientation and Functional Programming - John Hunt, 2nd ed. 2018 - 978-3-319-75771-1.epub 11MB
  35. Introduction to Programming with Fortran - Ian Chivers, Jane Sleightholme, 4th ed. 2018 - 978-3-319-75502-1.epub 11MB
  36. Fundamentals of Business Process Management - Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers, 2013 - 978-3-642-33143-5.pdf 11MB
  37. Introduction to Artificial Intelligence - Wolfgang Ertel, 2nd ed. 2017 - 978-3-319-58487-4.epub 11MB
  38. Guide to Competitive Programming - Antti Laaksonen, 1st ed. 2017 - 978-3-319-72547-5.pdf 10MB
  39. Logical Foundations of Cyber-Physical Systems - Andr Platzer, 1st ed. 2018 - 978-3-319-63588-0.pdf 10MB
  40. Eye Tracking Methodology - Andrew T. Duchowski, 3rd ed. 2017 - 978-3-319-57883-5.epub 10MB
  41. Data Mining - Charu C. Aggarwal, 2015 - 978-3-319-14142-8.epub 10MB
  42. Recommender Systems - Charu C. Aggarwal, 1st ed. 2016 - 978-3-319-29659-3.pdf 10MB
  43. Foundations for Designing User-Centered Systems - Frank E. Ritter, Gordon D. Baxter, Elizabeth F. Churchill, 2014 - 978-1-4471-5134-0.pdf 9MB
  44. Concise Guide to Databases - Peter Lake, Paul Crowther, 2013 - 978-1-4471-5601-7.pdf 9MB
  45. Systems Programming in Unix-Linux - K.C. Wang, 1st ed. 2018 - 978-3-319-92429-8.pdf 9MB
  46. Guide to Computer Network Security - Joseph Migga Kizza, 4th ed. 2017 - 978-3-319-55606-2.pdf 9MB
  47. Probability and Statistics for Computer Science - David Forsyth, 1st ed. 2018 - 978-3-319-64410-3.pdf 8MB
  48. Introduction to Parallel Computing - Roman Trobec, Botjan Slivnik, Patricio Buli, Borut Robi, 1st ed. 2018 - 978-3-319-98833-7.pdf 8MB
  49. Analysis for Computer Scientists - Michael Oberguggenberger, Alexander Ostermann, 2nd ed. 2018 - 978-3-319-91155-7.pdf 8MB
  50. Guide to Competitive Programming - Antti Laaksonen, 1st ed. 2017 - 978-3-319-72547-5.epub 8MB
  51. LaTeX in 24 Hours - Dilip Datta, 1st ed. 2017 - 978-3-319-47831-9.pdf 8MB
  52. Introduction to Programming with Fortran - Ian Chivers, Jane Sleightholme, 4th ed. 2018 - 978-3-319-75502-1.pdf 7MB
  53. Python Programming Fundamentals - Kent D. Lee, 2nd ed. 2014 - 978-1-4471-6642-9.pdf 7MB
  54. Guide to Discrete Mathematics - Gerard O'Regan, 1st ed. 2016 - 978-3-319-44561-8.pdf 7MB
  55. Introduction to Data Science - Laura Igual, Santi Segu, 1st ed. 2017 - 978-3-319-50017-1.pdf 7MB
  56. Probability and Statistics for Computer Science - David Forsyth, 1st ed. 2018 - 978-3-319-64410-3.epub 7MB
  57. The Python Workbook - Ben Stephenson, 2014 - 978-3-319-14240-1.epub 7MB
  58. Concise Guide to Software Engineering - Gerard O'Regan, 1st ed. 2017 - 978-3-319-57750-0.pdf 7MB
  59. Foundations of Programming Languages - Kent D. Lee, 2nd ed. 2017 - 978-3-319-70790-7.epub 6MB
  60. Principles of Data Mining - Max Bramer, 3rd ed. 2016 - 978-1-4471-7307-6.epub 6MB
  61. Introduction to Parallel Computing - Roman Trobec, Botjan Slivnik, Patricio Buli, Borut Robi, 1st ed. 2018 - 978-3-319-98833-7.epub 6MB
  62. Object-Oriented Analysis, Design and Implementation - Brahma Dathan, Sarnath Ramnath, 2nd ed. 2015 - 978-3-319-24280-4.epub 6MB
  63. Recommender Systems - Charu C. Aggarwal, 1st ed. 2016 - 978-3-319-29659-3.epub 6MB
  64. The Algorithm Design Manual - Steven S Skiena, 2nd ed. 2008 - 978-1-84800-070-4.pdf 6MB
  65. Python Programming Fundamentals - Kent D. Lee, 2nd ed. 2014 - 978-1-4471-6642-9.epub 5MB
  66. Guide to Scientific Computing in C++ - Joe Pitt-Francis, Jonathan Whiteley, 2nd ed. 2017 - 978-3-319-73132-2.epub 5MB
  67. Fundamentals of Business Process Management - Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers, 2013 - 978-3-642-33143-5.epub 5MB
  68. Foundations for Designing User-Centered Systems - Frank E. Ritter, Gordon D. Baxter, Elizabeth F. Churchill, 2014 - 978-1-4471-5134-0.epub 5MB
  69. An Introduction to Machine Learning - Miroslav Kubat, 2nd ed. 2017 - 978-3-319-63913-0.pdf 5MB
  70. LaTeX in 24 Hours - Dilip Datta, 1st ed. 2017 - 978-3-319-47831-9.epub 4MB
  71. Introduction to Deep Learning - Sandro Skansi, 1st ed. 2018 - 978-3-319-73004-2.epub 4MB
  72. Introduction to Data Science - Laura Igual, Santi Segu, 1st ed. 2017 - 978-3-319-50017-1.epub 4MB
  73. Principles of Data Mining - Max Bramer, 3rd ed. 2016 - 978-1-4471-7307-6.pdf 4MB
  74. Cryptography Made Simple - Nigel Smart, 1st ed. 2016 - 978-3-319-21936-3.pdf 4MB
  75. Introduction to Evolutionary Computing - A.E. Eiben, J.E. Smith, 2nd ed. 2015 - 978-3-662-44874-8.pdf 4MB
  76. Concise Guide to Databases - Peter Lake, Paul Crowther, 2013 - 978-1-4471-5601-7.epub 4MB
  77. Concise Guide to Software Engineering - Gerard O'Regan, 1st ed. 2017 - 978-3-319-57750-0.epub 4MB
  78. Introduction to Deep Learning - Sandro Skansi, 1st ed. 2018 - 978-3-319-73004-2.pdf 4MB
  79. Guide to Scientific Computing in C++ - Joe Pitt-Francis, Jonathan Whiteley, 2nd ed. 2017 - 978-3-319-73132-2.pdf 4MB
  80. Computational Geometry - Mark de Berg, Otfried Cheong, Marc van Kreveld, Mark Overmars, 3rd ed. 2008 - 978-3-540-77974-2.pdf 3MB
  81. Guide to Computer Network Security - Joseph Migga Kizza, 4th ed. 2017 - 978-3-319-55606-2.epub 3MB
  82. An Introduction to Machine Learning - Miroslav Kubat, 2nd ed. 2017 - 978-3-319-63913-0.epub 3MB
  83. Guide to Discrete Mathematics - Gerard O'Regan, 1st ed. 2016 - 978-3-319-44561-8.epub 3MB
  84. Understanding Cryptography - Christof Paar, Jan Pelzl, 2010 - 978-3-642-04101-3.pdf 3MB
  85. UML @ Classroom - Martina Seidl, Marion Scholz, Christian Huemer, Gerti Kappel, 2015 - 978-3-319-12742-2.pdf 2MB