Modern Artificial Intelligence Masterclass Build 6 Projects


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Modern Artificial Intelligence Masterclass Build 6 Projects
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Torrent File Content (187 files)


Modern Artificial Intelligence Masterclass Build 6 Projects
    3. Emotion AI
          7. Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.mp4 -
219.47 MB

    4. AI in Healthcare
          1. Project Introduction and Welcome Message.srt -
3.24 KB

          1. Project Introduction and Welcome Message.mp4 -
58.01 MB

          7. Task #6 - Train a Classifier Model To Detect Brain Tumors.mp4 -
201.36 MB

          9. Task #8 - Understand ResUnet Segmentation Models Intuition.srt -
20.82 KB

          10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.srt -
21.62 KB

          12. Task #11 - Assess Trained ResUNet Segmentation Model Performance.srt -
18.78 KB

          8. Task #7 - Assess Trained Classifier Model Performance.srt -
13.72 KB

          1.2 Healthcare AI Slides.pdf -
4.34 MB

          5. Task #4 - Understand the Intuition behind ResNet and CNNs.mp4 -
122.27 MB

          4. Task #3 - Visualize and Explore Datasets.mp4 -
164.87 MB

          5. Task #4 - Understand the Intuition behind ResNet and CNNs.srt -
16.56 KB

          3. Task #2 - Import Libraries and Datasets.mp4 -
107.07 MB

          2. Task #1 - Understand the Problem Statement and Business Case.srt -
24.04 KB

          7. Task #6 - Train a Classifier Model To Detect Brain Tumors.srt -
33.42 KB

          11. Task #10 - Train ResUnet Segmentation Model.mp4 -
38.29 MB

          1.1 AI in Healthcare Google Colab.html -
146 bytes

          9. Task #8 - Understand ResUnet Segmentation Models Intuition.mp4 -
150.52 MB

          10. Task #9 - Build a Segmentation Model to Localize Brain Tumors.mp4 -
136.71 MB

          4. Task #3 - Visualize and Explore Datasets.srt -
32.64 KB

          11. Task #10 - Train ResUnet Segmentation Model.srt -
5.93 KB

          8. Task #7 - Assess Trained Classifier Model Performance.mp4 -
79.19 MB

          2. Task #1 - Understand the Problem Statement and Business Case.mp4 -
175.95 MB

          6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.mp4 -
120.68 MB

          3. Task #2 - Import Libraries and Datasets.srt -
17.08 KB

          6. Task #5 - Understand Theory and Intuition Behind Transfer Learning.srt -
17.95 KB

    2. Bonus Materials (Download now!)
          1. Link to Bonus Materials.html -
1.65 KB

    6. AI In Business (Finance) & AutoML
          7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.mp4 -
212.63 MB

          5. Task #3 - Visualize and Explore Dataset.srt -
31.28 KB

          1. Project Introduction and Welcome Message.srt -
3.01 KB

          11. Task #9 - Understand XG-Boost in AWS SageMaker.mp4 -
77.68 MB

          10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.srt -
10.59 KB

          7. Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.srt -
32.56 KB

          1. Project Introduction and Welcome Message.mp4 -
56.98 MB

          9. Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.mp4 -
71.48 MB

          14. Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).srt -
22.04 KB

          6. Task #4 - Clean Up the Data.mp4 -
55.6 MB

          13. Task #11 - Deploy Model and Make Inference.mp4 -
107.9 MB

          13. Task #11 - Deploy Model and Make Inference.srt -
15.3 KB

          2. Notes on Amazon Web Services (AWS).html -
787 bytes

          1.2 UCI_Credit_Card.csv -
2.73 MB

          10. Task #8 - Perform Grid Search and Hyper-parameters Optimization.mp4 -
65.7 MB

          3. Task #1 - Understand the Problem Statement & Business Case.srt -
16.78 KB

          1.3 AI in Finance.pdf -
6.2 MB

          5. Task #3 - Visualize and Explore Dataset.mp4 -
199.67 MB

          1.1 AI In Business (Finance) & AutoML Google Colab.html -
146 bytes

          1.4 AI in Finance - SageMaker AutoPilot.pdf -
1.03 MB

          6. Task #4 - Clean Up the Data.srt -
9.08 KB

          12. Task #10 - Train XG-Boost in AWS SageMaker.mp4 -
140.4 MB

          8. Task #6 - Understand XG-Boost Algorithm Key Steps.mp4 -
205.48 MB



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