[ DevCourseWeb com ] Udemy - AI Application Boost with NVIDIA RAPIDS Acceleration

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[ DevCourseWeb com ] Udemy - AI Application Boost with NVIDIA RAPIDS Acceleration

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Name:[ DevCourseWeb com ] Udemy - AI Application Boost with NVIDIA RAPIDS Acceleration

Infohash: FF9B3C67F56018789780FEE4E8E536A0B1CFB6BD

Total Size: 2.40 GB

Magnet: Magnet Download

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Stream: Watch Full Movies @ LimeMovies

Last Updated: 2026-01-18 08:26:21 (Update Now)

Torrent added: 2024-02-29 17:01:10

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Torrent Files List

Get Bonus Downloads Here.url (Size: 2.40 GB) (Files: 53)

Get Bonus Downloads Here.url

0.18 KB

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1. Introduction

1. Course content.mp4

85.23 MB

2. CPU vs GPU.mp4

50.25 MB

3. GPU and CUDA.mp4

55.48 MB

4. RAPIDS.mp4

55.48 MB

5. Course materials.html

0.25 KB

2. cuDF

1. cuDF - intuition.mp4

35.50 MB

1.1 Source code - Google Colab.html

0.14 KB

10. User defined functions 1.mp4

122.05 MB

11. User defined functions 2.mp4

59.81 MB

12. User defined functions 3.mp4

27.16 MB

13. Performance comparison 1.mp4

52.17 MB

14. Performance comparison 2.mp4

82.61 MB

15. Performance comparison 3.mp4

45.02 MB

2. Installation.mp4

82.05 MB

3. Pandas and cuDF.mp4

33.26 MB

4. Basic commands 1.mp4

47.51 MB

5. Basic commands 2.mp4

47.66 MB

6. Basic commands 3.mp4

62.24 MB

7. Basic commands 4.mp4

74.08 MB

8. Integration with cuPy.mp4

38.27 MB

9. Other data convertions.mp4

45.42 MB

3. cuML

1. cuML - intution.mp4

32.08 MB

1.1 Source code - Google Colab.html

0.14 KB

2. Preparing the environment.mp4

56.40 MB

3. Regression with scikit-learn.mp4

57.04 MB

4. Regression with cuML.mp4

67.15 MB

5. Ridge regression.mp4

104.81 MB

6. Parameter tuning.mp4

54.55 MB

7. Performance comparison 1.mp4

57.76 MB

8. Performance comparison 2.mp4

42.16 MB

4. Complete project

1. Installations and libraries.mp4

14.50 MB

1.1 Source code - Google Colab.html

0.14 KB

10. Homework solution 2.mp4

47.51 MB

2. Census dataset.mp4

50.06 MB

3. Categorical features 1.mp4

47.49 MB

4. Categorical features 2.mp4

39.76 MB

5. Additional pre-processing.mp4

50.15 MB

6. Logistic regression and kNN.mp4

69.88 MB

7. Random Forest and SVM.mp4

34.76 MB

8. HOMEWORK.html

1.74 KB

9. Homework solution 1.mp4

105.41 MB

9.1 Source code - Google Colab.html

0.14 KB

5. DASK

1. DASK - intuition.mp4

67.87 MB

1.1 Source code - Google Colab.html

0.14 KB

2. Creating a local cluster.mp4

57.43 MB

3. Arrays in distributed GPUs.mp4

56.17 MB

4. DASK and cuDF.mp4

47.89 MB

5. DASK and cuML 1.mp4

93.30 MB

6. DASK and cuML 2.mp4

69.03 MB

6. Final remarks

1. Final remarks.mp4

7.72 MB

2. BONUS.mp4

29.42 MB

Bonus Resources.txt

0.38 KB

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