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AI Application Boost with NVIDIA RAPIDS Acceleration DevCourseWeb

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Uploader: FreeCourseWeb
Source: T Logo Torrent Galaxy
Downloads: 104
Language: English
Category: Other
Size: 2.4 GB
Added: Feb. 29, 2024, 3:34 p.m.
Peers: Seeders: 0, Leechers: 5 (Last updated: 4 months, 1 week ago)
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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 1. Course content.mp4 85.2 MB
  3. 2. CPU vs GPU.mp4 50.3 MB
  4. 3. GPU and CUDA.mp4 55.5 MB
  5. 4. RAPIDS.mp4 55.5 MB
  6. 5. Course materials.html 253 bytes
  7. 1. cuDF - intuition.mp4 35.5 MB
  8. 1.1 Source code - Google Colab.html 146 bytes
  9. 10. User defined functions 1.mp4 122.1 MB
  10. 11. User defined functions 2.mp4 59.8 MB
  11. 12. User defined functions 3.mp4 27.2 MB
  12. 13. Performance comparison 1.mp4 52.2 MB
  13. 14. Performance comparison 2.mp4 82.6 MB
  14. 15. Performance comparison 3.mp4 45.0 MB
  15. 2. Installation.mp4 82.1 MB
  16. 3. Pandas and cuDF.mp4 33.3 MB
  17. 4. Basic commands 1.mp4 47.5 MB
  18. 5. Basic commands 2.mp4 47.7 MB
  19. 6. Basic commands 3.mp4 62.2 MB
  20. 7. Basic commands 4.mp4 74.1 MB
  21. 8. Integration with cuPy.mp4 38.3 MB
  22. 9. Other data convertions.mp4 45.4 MB
  23. 1. cuML - intution.mp4 32.1 MB
  24. 1.1 Source code - Google Colab.html 146 bytes
  25. 2. Preparing the environment.mp4 56.4 MB
  26. 3. Regression with scikit-learn.mp4 57.0 MB
  27. 4. Regression with cuML.mp4 67.2 MB
  28. 5. Ridge regression.mp4 104.8 MB
  29. 6. Parameter tuning.mp4 54.5 MB
  30. 7. Performance comparison 1.mp4 57.8 MB
  31. 8. Performance comparison 2.mp4 42.2 MB
  32. 1. Installations and libraries.mp4 14.5 MB
  33. 1.1 Source code - Google Colab.html 146 bytes
  34. 10. Homework solution 2.mp4 47.5 MB
  35. 2. Census dataset.mp4 50.1 MB
  36. 3. Categorical features 1.mp4 47.5 MB
  37. 4. Categorical features 2.mp4 39.8 MB
  38. 5. Additional pre-processing.mp4 50.1 MB
  39. 6. Logistic regression and kNN.mp4 69.9 MB
  40. 7. Random Forest and SVM.mp4 34.8 MB
  41. 8. HOMEWORK.html 1.7 KB
  42. 9. Homework solution 1.mp4 105.4 MB
  43. 9.1 Source code - Google Colab.html 146 bytes
  44. 1. DASK - intuition.mp4 67.9 MB
  45. 1.1 Source code - Google Colab.html 146 bytes
  46. 2. Creating a local cluster.mp4 57.4 MB
  47. 3. Arrays in distributed GPUs.mp4 56.2 MB
  48. 4. DASK and cuDF.mp4 47.9 MB
  49. 5. DASK and cuML 1.mp4 93.3 MB
  50. 6. DASK and cuML 2.mp4 69.0 MB
  51. 1. Final remarks.mp4 7.7 MB
  52. 2. BONUS.mp4 29.4 MB
  53. Bonus Resources.txt 386 bytes

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