AI Application Boost with NVIDIA RAPIDS Acceleration --> [ DevCourseWeb ]


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Torrent Hash : FF9B3C67F56018789780FEE4E8E536A0B1CFB6BD
Torrent Added : 2 months ago in Other - Other
Torrent Size : 2.4 GB


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Torrent File Content (53 files)


[ DevCourseWeb.com ] Udemy - AI Application Boost with NVIDIA RAPIDS Acceleration
     Get Bonus Downloads Here.url -
182 bytes

    ~Get Your Files Here !
          1. Introduction/1. Course content.mp4 -
85.23 MB

          1. Introduction/2. CPU vs GPU.mp4 -
50.25 MB

          1. Introduction/3. GPU and CUDA.mp4 -
55.48 MB

          1. Introduction/4. RAPIDS.mp4 -
55.48 MB

          1. Introduction/5. Course materials.html -
253 bytes

          2. cuDF/1. cuDF - intuition.mp4 -
35.5 MB

          2. cuDF/1.1 Source code - Google Colab.html -
146 bytes

          2. cuDF/10. User defined functions 1.mp4 -
122.05 MB

          2. cuDF/11. User defined functions 2.mp4 -
59.81 MB

          2. cuDF/12. User defined functions 3.mp4 -
27.16 MB

          2. cuDF/13. Performance comparison 1.mp4 -
52.17 MB

          2. cuDF/14. Performance comparison 2.mp4 -
82.61 MB

          2. cuDF/15. Performance comparison 3.mp4 -
45.02 MB

          2. cuDF/2. Installation.mp4 -
82.05 MB

          2. cuDF/3. Pandas and cuDF.mp4 -
33.26 MB

          2. cuDF/4. Basic commands 1.mp4 -
47.51 MB

          2. cuDF/5. Basic commands 2.mp4 -
47.66 MB

          2. cuDF/6. Basic commands 3.mp4 -
62.24 MB

          2. cuDF/7. Basic commands 4.mp4 -
74.08 MB

          2. cuDF/8. Integration with cuPy.mp4 -
38.27 MB

          2. cuDF/9. Other data convertions.mp4 -
45.42 MB

          3. cuML/1. cuML - intution.mp4 -
32.08 MB

          3. cuML/1.1 Source code - Google Colab.html -
146 bytes

          3. cuML/2. Preparing the environment.mp4 -
56.4 MB

          3. cuML/3. Regression with scikit-learn.mp4 -
57.04 MB

          3. cuML/4. Regression with cuML.mp4 -
67.15 MB

          3. cuML/5. Ridge regression.mp4 -
104.81 MB

          3. cuML/6. Parameter tuning.mp4 -
54.55 MB

          3. cuML/7. Performance comparison 1.mp4 -
57.76 MB

          3. cuML/8. Performance comparison 2.mp4 -
42.16 MB

          4. Complete project/1. Installations and libraries.mp4 -
14.5 MB

          4. Complete project/1.1 Source code - Google Colab.html -
146 bytes

          4. Complete project/10. Homework solution 2.mp4 -
47.51 MB

          4. Complete project/2. Census dataset.mp4 -
50.06 MB

          4. Complete project/3. Categorical features 1.mp4 -
47.49 MB

          4. Complete project/4. Categorical features 2.mp4 -
39.76 MB

          4. Complete project/5. Additional pre-processing.mp4 -
50.15 MB

          4. Complete project/6. Logistic regression and kNN.mp4 -
69.88 MB

          4. Complete project/7. Random Forest and SVM.mp4 -
34.76 MB

          4. Complete project/8. HOMEWORK.html -
1.74 KB

          4. Complete project/9. Homework solution 1.mp4 -
105.41 MB

          4. Complete project/9.1 Source code - Google Colab.html -
146 bytes

          5. DASK/1. DASK - intuition.mp4 -
67.87 MB

          5. DASK/1.1 Source code - Google Colab.html -
146 bytes

          5. DASK/2. Creating a local cluster.mp4 -
57.43 MB

          5. DASK/3. Arrays in distributed GPUs.mp4 -
56.17 MB

          5. DASK/4. DASK and cuDF.mp4 -
47.89 MB

          5. DASK/5. DASK and cuML 1.mp4 -
93.3 MB

          5. DASK/6. DASK and cuML 2.mp4 -
69.03 MB



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