Download Free Download : Coursera - Machine Learning Modeling Pipelines in Production
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:467.96 MB
Files Included :
01 course-overview.mp4 (11.28 MB)
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01 hyperparameter-tuning.mp4 (6.64 MB)
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02 keras-autotuner-demo.mp4 (8.76 MB)
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01 intro-to-automl.mp4 (7.68 MB)
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02 understanding-search-spaces.mp4 (2.67 MB)
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03 search-strategies.mp4 (6.67 MB)
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05 measuring-automl-efficacy.mp4 (5.28 MB)
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06 automl-on-the-cloud.mp4 (11.61 MB)
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01 assignment-setup.mp4 (1.98 MB)
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02 week-1-wrap-up.mp4 (1.26 MB)
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01 dimensionality-effect-on-performance.mp4 (15.03 MB)
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02 curse-of-dimensionality.mp4 (13.44 MB)
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03 curse-of-dimensionality-an-example.mp4 (6.22 MB)
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04 manual-dimensionality-reduction.mp4 (7.44 MB)
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05 manual-dimensionality-reduction-case-study.mp4 (9.86 MB)
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07 algorithmic-dimensionality-reduction.mp4 (3.39 MB)
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08 principal-components-analysis.mp4 (12.6 MB)
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09 other-techniques.mp4 (10.31 MB)
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01 mobile-iot-and-similar-use-cases.mp4 (9.88 MB)
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02 benefits-and-process-of-quantization.mp4 (13.3 MB)
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03 post-training-quantization.mp4 (8.42 MB)
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04 quantization-aware-training.mp4 (5.99 MB)
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06 pruning.mp4 (20.14 MB)
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01 distributed-training.mp4 (15.66 MB)
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03 high-performance-ingestion.mp4 (15.41 MB)
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04 training-large-models-the-rise-of-giant-neural-nets-and-parallelism.mp4 (17.31 MB)
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01 teacher-and-student-networks.mp4 (4.19 MB)
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02 knowledge-distillation-techniques.mp4 (11.94 MB)
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04 case-study-how-to-distill-knowledge-for-a-q-a-task.mp4 (13.48 MB)
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01 model-performance-analysis.mp4 (15.61 MB)
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01 introduction-to-tensorflow-model-analysis.mp4 (8.97 MB)
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02 tfma-in-practice.mp4 (5.38 MB)
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04 model-debugging-overview.mp4 (4.66 MB)
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05 benchmark-models.mp4 (1.58 MB)
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06 sensitivity-analysis-and-adversarial-attacks.mp4 (13.27 MB)
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07 adversarial-attack-demo.mp4 (11 MB)
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09 residual-analysis.mp4 (3.06 MB)
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10 model-remediation.mp4 (5.99 MB)
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11 fairness.mp4 (5.17 MB)
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12 measuring-fairness.mp4 (7.63 MB)
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01 continuous-evaluation-and-monitoring.mp4 (23.29 MB)
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01 explainable-ai.mp4 (11.46 MB)
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01 model-interpretation-methods.mp4 (12.57 MB)
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02 intrinsically-interpretable-models.mp4 (14.08 MB)
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01 model-agnostic-methods.mp4 (2.37 MB)
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02 partial-dependence-plots.mp4 (7.22 MB)
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03 permutation-feature-importance.mp4 (4.28 MB)
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06 shapley-values.mp4 (9.83 MB)
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07 shapley-additive-explanations-shap.mp4 (4.76 MB)
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10 testing-concept-activation-vectors.mp4 (5.42 MB)
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11 lime.mp4 (2.08 MB)
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13 ai-explanations.mp4 (10.45 MB)
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