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[] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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  • 文件大小:2GB
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文件列表

  1. 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 7. Machine Learning Basics/3. Classification in Code.mp4 125MB
  3. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  4. 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 77MB
  5. 2. Numpy (New)/7. Generating Data.mp4 63MB
  6. 7. Machine Learning Basics/2. What is Classification.mp4 62MB
  7. 7. Machine Learning Basics/5. Regression in Code.mp4 62MB
  8. 1. Welcome and Logistics/1. Introduction and Outline.mp4 60MB
  9. 2. Numpy (New)/5. Matrices.mp4 57MB
  10. 2. Numpy (New)/2. Arrays vs Lists.mp4 51MB
  11. 4. Pandas (New)/3. Selecting Rows and Columns.mp4 49MB
  12. 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 46MB
  13. 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  14. 7. Machine Learning Basics/4. What is Regression.mp4 43MB
  15. 5. Scipy (New)/5. Where to Learn More Scipy.mp4 39MB
  16. 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 39MB
  17. 2. Numpy (New)/9. Where to Learn More Numpy.mp4 39MB
  18. 3. Matplotlib (New)/5. Plotting Images.mp4 39MB
  19. 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  20. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 38MB
  21. 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.mp4 37MB
  22. 7. Machine Learning Basics/6. What is a Feature Vector.mp4 33MB
  23. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29MB
  24. 2. Numpy (New)/3. Dot Product.mp4 26MB
  25. 4. Pandas (New)/7. Where to Learn More Pandas.mp4 26MB
  26. 1. Welcome and Logistics/5. Extra Resources.mp4 25MB
  27. 2. Numpy (New)/1. Numpy Section Introduction.mp4 24MB
  28. 4. Pandas (New)/2. Loading in Data.mp4 24MB
  29. 5. Scipy (New)/3. Convolution.mp4 22MB
  30. 7. Machine Learning Basics/11. Machine Learning Section Summary.mp4 21MB
  31. 7. Machine Learning Basics/8. All Data is the Same.mp4 21MB
  32. 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.mp4 19MB
  33. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.mp4 19MB
  34. 3. Matplotlib (New)/3. Scatterplot.mp4 18MB
  35. 6. Bonus Exercises/1. More Exercises.mp4 17MB
  36. 3. Matplotlib (New)/2. Line Chart.mp4 16MB
  37. 2. Numpy (New)/10. Suggestion Box.mp4 16MB
  38. 2. Numpy (New)/4. Speed Test.mp4 15MB
  39. 3. Matplotlib (New)/1. Matplotlib Section Introduction.mp4 15MB
  40. 5. Scipy (New)/2. PDF and CDF.mp4 14MB
  41. 2. Numpy (New)/6. Solving Linear Systems.mp4 14MB
  42. 4. Pandas (New)/6. Pandas Exercise.mp4 14MB
  43. 4. Pandas (New)/5. Plotting with Pandas.mp4 13MB
  44. 3. Matplotlib (New)/6. Matplotlib Exercise.mp4 12MB
  45. 4. Pandas (New)/4. The apply() Function.mp4 10MB
  46. 3. Matplotlib (New)/4. Histogram.mp4 10MB
  47. 5. Scipy (New)/4. Scipy Exercise.mp4 6MB
  48. 5. Scipy (New)/1. Scipy Section Introduction.mp4 6MB
  49. 4. Pandas (New)/1. Pandas Section Introduction.mp4 6MB
  50. 2. Numpy (New)/8. Numpy Exercise.mp4 5MB
  51. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23KB
  52. 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.srt 20KB
  53. 3. Matplotlib (New)/7. Where to Learn More Matplotlib.srt 18KB
  54. 2. Numpy (New)/7. Generating Data.srt 17KB
  55. 7. Machine Learning Basics/4. What is Regression.srt 17KB
  56. 7. Machine Learning Basics/2. What is Classification.srt 17KB
  57. 7. Machine Learning Basics/3. Classification in Code.srt 17KB
  58. 2. Numpy (New)/5. Matrices.srt 16KB
  59. 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16KB
  60. 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14KB
  61. 2. Numpy (New)/2. Arrays vs Lists.srt 14KB
  62. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.srt 14KB
  63. 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.srt 13KB
  64. 1. Welcome and Logistics/1. Introduction and Outline.srt 12KB
  65. 7. Machine Learning Basics/1. Machine Learning Section Introduction.srt 11KB
  66. 6. Bonus Exercises/1. More Exercises.srt 10KB
  67. 4. Pandas (New)/3. Selecting Rows and Columns.srt 10KB
  68. 5. Scipy (New)/5. Where to Learn More Scipy.srt 10KB
  69. 2. Numpy (New)/9. Where to Learn More Numpy.srt 10KB
  70. 7. Machine Learning Basics/5. Regression in Code.srt 10KB
  71. 7. Machine Learning Basics/6. What is a Feature Vector.srt 9KB
  72. 3. Matplotlib (New)/5. Plotting Images.srt 8KB
  73. 7. Machine Learning Basics/11. Machine Learning Section Summary.srt 8KB
  74. 7. Machine Learning Basics/10. Machine Learning and Deep Learning Future Topics.srt 8KB
  75. 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8KB
  76. 2. Numpy (New)/1. Numpy Section Introduction.srt 8KB
  77. 7. Machine Learning Basics/8. All Data is the Same.srt 7KB
  78. 2. Numpy (New)/3. Dot Product.srt 7KB
  79. 7. Machine Learning Basics/7. Machine Learning is Nothing but Geometry.srt 6KB
  80. 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Python 2 vs Python 3.srt 6KB
  81. 4. Pandas (New)/7. Where to Learn More Pandas.srt 6KB
  82. 3. Matplotlib (New)/3. Scatterplot.srt 5KB
  83. 1. Welcome and Logistics/5. Extra Resources.srt 5KB
  84. 2. Numpy (New)/10. Suggestion Box.srt 5KB
  85. 5. Scipy (New)/3. Convolution.srt 4KB
  86. 2. Numpy (New)/6. Solving Linear Systems.srt 4KB
  87. 3. Matplotlib (New)/2. Line Chart.srt 4KB
  88. 2. Numpy (New)/4. Speed Test.srt 4KB
  89. 4. Pandas (New)/2. Loading in Data.srt 4KB
  90. 3. Matplotlib (New)/1. Matplotlib Section Introduction.srt 4KB
  91. 5. Scipy (New)/2. PDF and CDF.srt 3KB
  92. 4. Pandas (New)/6. Pandas Exercise.srt 3KB
  93. 4. Pandas (New)/5. Plotting with Pandas.srt 3KB
  94. 4. Pandas (New)/4. The apply() Function.srt 3KB
  95. 3. Matplotlib (New)/4. Histogram.srt 2KB
  96. 3. Matplotlib (New)/6. Matplotlib Exercise.srt 2KB
  97. 5. Scipy (New)/1. Scipy Section Introduction.srt 2KB
  98. 4. Pandas (New)/1. Pandas Section Introduction.srt 2KB
  99. 5. Scipy (New)/4. Scipy Exercise.srt 1KB
  100. 2. Numpy (New)/8. Numpy Exercise.srt 1KB
  101. 1. Welcome and Logistics/2. What will you learn in this course.html 164B
  102. 1. Welcome and Logistics/3. What level of machine learning is taught in this course.html 164B
  103. 1. Welcome and Logistics/4. How will you practice what you learned in this course.html 164B
  104. 0. Websites you may like/[FCS Forum].url 133B
  105. 0. Websites you may like/[FreeCourseSite.com].url 127B
  106. 0. Websites you may like/[CourseClub.ME].url 122B