Machine Learning on Google Cloud Specialization

Files Included :

01 course-introduction.mp4 (2.11 MB)
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01 introduction.mp4 (367.29 KB)
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02 overview-of-an-ml-enterprise-workflow.mp4 (7.13 MB)
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01 introduction.mp4 (435.34 KB)
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01 feature-store.mp4 (9.77 MB)
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02 data-catalog.mp4 (3.68 MB)
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01 dataplex.mp4 (6.04 MB)
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02 analytics-hub.mp4 (5.49 MB)
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01 data-preprocessing-options.mp4 (4.51 MB)
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02 dataprep.mp4 (8.94 MB)
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03 lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.mp4 (263.95 KB)
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04 coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 (10.45 MB)
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01 introduction.mp4 (470.43 KB)
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01 the-art-and-science-of-machine-learning.mp4 (9.43 MB)
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02 make-training-faster.mp4 (9.92 MB)
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03 when-to-use-custom-training.mp4 (7.22 MB)
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04 training-requirements-and-dependencies-part-1.mp4 (11.8 MB)
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05 training-requirements-and-dependencies-part-2.mp4 (4.6 MB)
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06 training-custom-ml-models-using-vertex-ai.mp4 (3.52 MB)
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07 lab-intro-vertex-ai-custom-training-job-and-prediction-using-managed-datasets.mp4 (608.5 KB)
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01 introduction.mp4 (323.4 KB)
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01 vertex-ai-vizier-hyperparameter-tuning.mp4 (23.31 MB)
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02 lab-intro-vertex-vizier-hyperparameter-tuning.mp4 (489.35 KB)
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01 introduction.mp4 (850.97 KB)
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01 predictions-using-vertex-ai.mp4 (9.93 MB)
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02 model-management-using-vertex-ai.mp4 (11.42 MB)
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03 lab-intro-vertex-ai-model-monitoring.mp4 (466.2 KB)
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01 introduction.mp4 (351.33 KB)
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01 prediction-using-vertex-ai-pipelines.mp4 (5.37 MB)
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02 lab-intro-vertex-ai-pipelines.mp4 (1.03 MB)
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01 introduction.mp4 (440.83 KB)
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01 best-practices-for-model-deployment-and-serving.mp4 (3.33 MB)
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02 best-practices-for-model-monitoring.mp4 (3.94 MB)
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03 vertex-ai-pipeline-best-practices.mp4 (5.26 MB)
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04 best-practices-for-artifact-organization.mp4 (2.74 MB)
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01 series-summary.mp4 (3.57 MB)
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01 course-introduction.mp4 (1.04 MB)
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01 introduction.mp4 (849.55 KB)
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01 feature-store-benefits.mp4 (7.34 MB)
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01 feature-store-terminology-and-concepts.mp4 (10.42 MB)
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01 the-feature-store-data-model.mp4 (2.02 MB)
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01 creating-a-feature-store.mp4 (14.41 MB)
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01 serving-features-batch-and-online.mp4 (8.84 MB)
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02 optional-lab-intro-using-feature-store.mp4 (669.22 KB)
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03 getting-started-with-google-cloud-and-qwiklabs.mp4 (10.45 MB)
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01 introduction.mp4 (372.39 KB)
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01 overview-of-feature-engineering.mp4 (16.37 MB)
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02 raw-data-to-features.mp4 (2.38 MB)
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01 good-features-versus-bad-features.mp4 (6.02 MB)
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02 features-should-be-known-at-prediction-time.mp4 (8.52 MB)
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03 features-should-be-numeric.mp4 (6.39 MB)
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04 features-should-have-enough-examples.mp4 (8.28 MB)
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05 bringing-human-insight.mp4 (553.43 KB)
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01 representing-features.mp4 (12.84 MB)
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01 introduction.mp4 (430.9 KB)
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02 machine-learning-versus-statistics.mp4 (3.93 MB)
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01 basic-feature-engineering.mp4 (9.15 MB)
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02 lab-intro-performing-basic-feature-engineering-in-bigquery-ml.mp4 (730.53 KB)
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03 advanced-feature-engineering-feature-crosses.mp4 (7.82 MB)
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04 bucketize-and-transform-functions.mp4 (5.09 MB)
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05 optional-lab-intro-advanced-feature-engineering-bigquery-ml.mp4 (1.12 MB)
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01 predict-housing-prices.mp4 (10.44 MB)
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02 estimate-taxi-fare.mp4 (5.21 MB)
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03 temporal-and-geolocation-features.mp4 (9.3 MB)
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04 lab-intro-basic-feature-engineering-in-keras.mp4 (680.04 KB)
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05 lab-intro-advanced-feature-engineering-in-keras.mp4 (661.33 KB)
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01 introduction.mp4 (585.79 KB)
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01 apache-beam-and-dataflow.mp4 (5.5 MB)
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02 dataflow-terms-and-concepts.mp4 (7.63 MB)
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01 introduction.mp4 (346.43 KB)
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01 what-is-a-feature-cross.mp4 (2.9 MB)
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02 discretization.mp4 (1.13 MB)
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03 lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.mp4 (648.87 KB)
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04 lab-intro-tensorflow-playground-too-much-of-a-good-thing.mp4 (722.53 KB)
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01 introduction.mp4 (454.9 KB)
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01 tensorflow-transform.mp4 (12.02 MB)
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02 analyze-phase.mp4 (4.6 MB)
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03 transform-phase.mp4 (5.45 MB)
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04 supporting-serving.mp4 (4.1 MB)
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05 lab-intro-exploring-tf-transform.mp4 (1.42 MB)
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01 course-series-preview.mp4 (4.07 MB)
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02 course-introduction.mp4 (2.05 MB)
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01 introduction.mp4 (730.49 KB)
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01 what-is-ml.mp4 (11.13 MB)
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02 what-problems-can-it-solve.mp4 (7.97 MB)
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03 activity-intro-framing-a-machine-learning-problem.mp4 (2.48 MB)
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05 activity-solutions-framing-a-machine-learning-problem.mp4 (5.73 MB)
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06 infuse-your-apps-with-ml.mp4 (4.92 MB)
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07 build-a-data-strategy-around-ml.mp4 (13.96 MB)
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01 introduction.mp4 (869.67 KB)
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02 ml-surprise.mp4 (4.42 MB)
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03 the-secret-sauce.mp4 (10.45 MB)
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04 ml-and-business-processes.mp4 (2.61 MB)
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05 the-path-to-ml.mp4 (4.62 MB)
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06 a-closer-look-at-the-path-to-ml.mp4 (10.8 MB)
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07 end-of-phases-deep-dive.mp4 (2.64 MB)
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01 introduction.mp4 (1.63 MB)
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01 moving-from-experimentation-to-production.mp4 (13.28 MB)
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01 components-of-vertex-ai.mp4 (7.7 MB)
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02 getting-started-with-google-cloud-platform-and-qwiklabs.mp4 (10.45 MB)
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03 lab-intro-using-an-image-dataset-to-train-an-automl-model.mp4 (378.64 KB)
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04 lab-demo-using-an-image-dataset-to-train-an-automl-model.mp4 (17.79 MB)
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05 lab-intro-training-an-automl-video-classification-model.mp4 (361.24 KB)
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06 lab-demo-training-an-automl-video-classification-model.mp4 (21.61 MB)
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07 tools-to-interact-with-vertex-ai.mp4 (3.31 MB)
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01 introduction.mp4 (409.4 KB)
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01 machine-learning-development-with-vertex-notebooks.mp4 (7.02 MB)
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01 introduction.mp4 (477.17 KB)
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02 data-preprocessing-best-practices.mp4 (2.86 MB)
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01 introduction.mp4 (523.57 KB)
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01 overview.mp4 (1.21 MB)
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02 human-biases-lead-to-biases-in-ml-models.mp4 (6.99 MB)
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03 biases-in-data.mp4 (7.74 MB)
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01 evaluating-metrics-with-inclusion-for-your-ml-system.mp4 (10.92 MB)
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02 equality-of-opportunity.mp4 (13.57 MB)
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03 how-to-find-errors-in-your-dataset-using-facets.mp4 (15.58 MB)
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01 introduction.mp4 (1.18 MB)
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01 introduction-to-the-tensorflow-ecosystem.mp4 (442.71 KB)
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01 introduction-to-tensorflow.mp4 (7.32 MB)
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02 tensorflow-api-hierarchy.mp4 (5.54 MB)
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03 components-of-tensorflow-tensors-and-variables.mp4 (10.51 MB)
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01 introduction.mp4 (623.57 KB)
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02 an-ml-recap.mp4 (4.1 MB)
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01 training-on-large-datasets-with-tf-data-api.mp4 (4.67 MB)
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02 working-in-memory-and-with-files.mp4 (5.17 MB)
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03 getting-the-data-ready-for-model-training.mp4 (7.67 MB)
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04 embeddings.mp4 (17.81 MB)
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05 coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 (10.45 MB)
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06 lab-intro-tensorflow-dataset-api.mp4 (596.46 KB)
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01 introduction.mp4 (791.96 KB)
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01 activation-functions.mp4 (10.27 MB)
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01 training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.mp4 (10.14 MB)
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02 serving-models-in-the-cloud.mp4 (4.34 MB)
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03 lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.mp4 (786.19 KB)
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04 training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.mp4 (13.13 MB)
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05 lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.mp4 (691.08 KB)
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06 model-subclassing.mp4 (5.45 MB)
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07 optional-lab-intro-making-new-layers-and-models-via-subclassing.mp4 (928.73 KB)
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01 regularization-basics.mp4 (6.24 MB)
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02 how-can-we-meaure-model-complexity-l1-vs-l2-regularization.mp4 (7.16 MB)
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01 introduction.mp4 (493.34 KB)
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01 training-at-scale-with-vertex-ai.mp4 (9.47 MB)
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02 lab-intro-training-at-scale-with-the-vertex-ai-training-service.mp4 (933.46 KB)
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01 course-introduction.mp4 (848.54 KB)
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01 introduction.mp4 (923.68 KB)
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01 improve-data-quality.mp4 (18.39 MB)
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03 lab-intro-improve-the-quality-of-your-data.mp4 (1.7 MB)
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04 lab-demo-improve-the-quality-of-your-data.mp4 (80.78 MB)
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05 what-is-exploratory-data-analysis.mp4 (6.84 MB)
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06 how-is-eda-used-in-machine-learning.mp4 (5.78 MB)
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07 data-analysis-and-visualization.mp4 (5.1 MB)
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01 introduction.mp4 (785.93 KB)
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01 supervised-learning.mp4 (5.21 MB)
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02 linear-regression.mp4 (14.61 MB)
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03 lab-intro-introduction-to-linear-regression.mp4 (573.62 KB)
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04 lab-demo-intro-to-linear-regression.mp4 (41.23 MB)
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05 logistic-regression.mp4 (20.44 MB)
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01 introduction.mp4 (604.66 KB)
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01 machine-learning-vs-deep-learning.mp4 (9.2 MB)
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02 what-is-automated-machine-learning.mp4 (1.92 MB)
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03 automl-regression-model.mp4 (13.19 MB)
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04 optional-lab-intro-training-an-automl-classification-model-structured-data.mp4 (618.44 KB)
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05 optional-lab-demo-training-an-automl-classification-model-structured-data.mp4 (18.6 MB)
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06 evaluate-automl-models.mp4 (14.28 MB)
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01 introduction.mp4 (594.63 KB)
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01 training-an-ml-model-using-bigquery-ml.mp4 (7.75 MB)
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02 bigquery-machine-learning-supported-models.mp4 (3.22 MB)
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05 bigquery-ml-hyperparameter-tuning.mp4 (4.44 MB)
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01 introduction.mp4 (642.58 KB)
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01 defining-ml-models.mp4 (4.99 MB)
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02 introducing-the-course-dataset.mp4 (8.51 MB)
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03 introduction-to-loss-functions.mp4 (8.56 MB)
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01 gradient-descent.mp4 (6.5 MB)
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02 troubleshooting-loss-curves.mp4 (2.97 MB)
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03 ml-model-pitfalls.mp4 (8.02 MB)
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01 lecture-lab-introducing-the-tensorflow-playground.mp4 (7.55 MB)
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02 lecture-lab-tensorflow-playground-advanced.mp4 (4.55 MB)
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03 lecture-lab-practicing-with-neural-networks.mp4 (9.34 MB)
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01 performance-metrics.mp4 (4.35 MB)
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02 confusion-matrix.mp4 (8.29 MB)
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01 introduction.mp4 (2.07 MB)
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01 generalization-and-ml-models.mp4 (7.4 MB)
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02 when-to-stop-model-training.mp4 (6.01 MB)
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01 creating-repeatable-samples-in-bigquery.mp4 (8.31 MB)
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02 demo-splitting-datasets-in-bigquery.mp4 (14.59 MB)
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