Coursera - Machine Learning on Google Cloud Specialization - 5 course series

Creation Time	Aug. 27, 2024, 8:44 a.m.
Last Access Time	Nov. 20, 2024, 9:14 p.m.
File Size	1.4 GB
Keywords	on Google Specialization Coursera - Machine course 5 Learning series Cloud
Total Requests	24
Total Files	754
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launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_04_lab-demo-improve-the-quality-of-your-data.mp4 80.8 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_04_lab-demo-intro-to-linear-regression.mp4 41.2 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_05_logistic-regression.mp4 32.9 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.mp4 28.2 MB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_01_vertex-ai-vizier-hyperparameter-tuning.mp4 23.3 MB
launching-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_Resource All slides.pdf 22.0 MB
google-machine-learning/08_summary/01_course-summary/01_04_resource-all-slides_HGML_CourseSlides.pdf 21.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_06_lab-demo-training-an-automl-video-classification-model.mp4 21.6 MB
art-science-ml/09_course-summary/01_course-summary/01_04_resource-all-slides_T-MLGCP5-A _ MLE_CourseSlides.pdf 21.5 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_01_improve-data-quality.mp4 18.4 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_04_embeddings.mp4 17.8 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.mp4 17.8 MB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_01_overview-of-feature-engineering.mp4 16.4 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.mp4 16.1 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_03_how-to-find-errors-in-your-dataset-using-facets.mp4 15.6 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_02_linear-regression.mp4 14.6 MB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_02_demo-splitting-datasets-in-bigquery.mp4 14.6 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/05_creating-a-feature-store/05_01_creating-a-feature-store.mp4 14.4 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_04_evaluate-automl-models.mp4 14.3 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_07_build-a-data-strategy-around-ml.mp4 14.0 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_02_equality-of-opportunity.mp4 13.6 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_03_automl-regression-model.mp4 13.5 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/02_moving-from-experimentation-to-production/02_01_moving-from-experimentation-to-production.mp4 13.3 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.mp4 13.1 MB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_01_representing-features.mp4 12.8 MB
google-machine-learning/09_Resources/05_module-5-slides/05_01__Module 5-Python notebooks in the cloud.pdf 12.2 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_01_tensorflow-transform.mp4 12.0 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_04_training-requirements-and-dependencies-part-1.mp4 11.8 MB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_02_model-management-using-vertex-ai.mp4 11.4 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_01_what-is-ml.mp4 11.1 MB
launching-machine-learning/06_optimization/03_gradient-descent/03_01_gradient-descent.mp4 11.1 MB
google-machine-learning/09_Resources/02_module-2-slides/02_01__Module 2-What it means to be AI-first.pdf 11.0 MB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_01_evaluating-metrics-with-inclusion-for-your-ml-system.mp4 10.9 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_06_a-closer-look-at-the-path-to-ml.mp4 10.8 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.mp4 10.6 MB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_03_components-of-tensorflow-tensors-and-variables.mp4 10.5 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_03_the-secret-sauce.mp4 10.4 MB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 10.4 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_02_getting-started-with-google-cloud-platform-and-qwiklabs.mp4 10.4 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 10.4 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_02_getting-started-with-google-cloud-and-qwiklabs.mp4 10.4 MB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_01_predict-housing-prices.mp4 10.4 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/03_feature-store-terminology-and-concepts/03_01_feature-store-terminology-and-concepts.mp4 10.4 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/02_activation-functions/02_01_activation-functions.mp4 10.3 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.mp4 10.1 MB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_01_predictions-using-vertex-ai.mp4 9.9 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_02_make-training-faster.mp4 9.9 MB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_01_best-practices-for-machine-learning-development.mp4 9.9 MB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_01_feature-store.mp4 9.8 MB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_01_training-at-scale-with-vertex-ai.mp4 9.5 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_01_the-art-and-science-of-machine-learning.mp4 9.4 MB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_03_lecture-lab-practicing-with-neural-networks.mp4 9.3 MB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_03_temporal-and-geolocation-features.mp4 9.3 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_01_machine-learning-vs-deep-learning.mp4 9.2 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_01_basic-feature-engineering.mp4 9.1 MB
launching-machine-learning/06_optimization/02_defining-ml-models/02_03_introduction-to-loss-functions.mp4 9.1 MB
feature-engineering/08_module-7-summary/01_summary/01_04_resource-all-slides_T-MLGCP4-A _FE_CourseSlides.pdf 9.0 MB
feature-engineering/09_Resources/04_resource-all-slides/04_01__T-MLGCP4-A _FE_CourseSlides.pdf 9.0 MB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_02_dataprep.mp4 8.9 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_01_serving-features-batch-and-online.mp4 8.8 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_02_features-should-be-known-at-prediction-time.mp4 8.5 MB
launching-machine-learning/06_optimization/02_defining-ml-models/02_02_introducing-the-course-dataset.mp4 8.5 MB
launching-machine-learning/07_generalization-and-sampling/03_sampling/03_01_creating-repeatable-samples-in-bigquery.mp4 8.3 MB
launching-machine-learning/06_optimization/05_performance-metrics/05_02_confusion-matrix.mp4 8.3 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_04_features-should-have-enough-examples.mp4 8.3 MB
launching-machine-learning/06_optimization/03_gradient-descent/03_03_ml-model-pitfalls.mp4 8.0 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_02_what-problems-can-it-solve.mp4 8.0 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_04_advanced-feature-engineering-feature-crosses.mp4 7.8 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_01_training-an-ml-model-using-bigquery-ml.mp4 7.8 MB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_03_biases-in-data.mp4 7.7 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_01_components-of-vertex-ai.mp4 7.7 MB
intro-tensorflow/06_summary/01_course-summary/01_04_resource-all-slides_Resource All slides.pdf 7.7 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_03_getting-the-data-ready-for-model-training.mp4 7.7 MB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_02_dataflow-terms-and-concepts.mp4 7.6 MB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_01_lecture-lab-introducing-the-tensorflow-playground.mp4 7.5 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_06_model-subclassing.mp4 7.5 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.mp4 7.4 MB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_01_generalization-and-ml-models.mp4 7.4 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/02_feature-store-benefits/02_01_feature-store-benefits.mp4 7.3 MB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_01_introduction-to-tensorflow.mp4 7.3 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_03_when-to-use-custom-training.mp4 7.2 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.mp4 7.2 MB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_02_overview-of-an-ml-enterprise-workflow.mp4 7.1 MB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_01_machine-learning-development-with-vertex-notebooks.mp4 7.0 MB
google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_02_human-biases-lead-to-biases-in-ml-models.mp4 7.0 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_05_what-is-exploratory-data-analysis.mp4 6.8 MB
google-machine-learning/09_Resources/04_module-4-slides/04_01__Module 4-Inclusive ML.pdf 6.4 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_03_features-should-be-numeric.mp4 6.4 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_01_regularization-basics.mp4 6.2 MB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_01_dataplex.mp4 6.0 MB
feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_01_good-features-versus-bad-features.mp4 6.0 MB
launching-machine-learning/07_generalization-and-sampling/02_generalization/02_02_when-to-stop-model-training.mp4 6.0 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_06_how-is-eda-used-in-machine-learning.mp4 5.8 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_05_activity-solutions-framing-a-machine-learning-problem.mp4 5.7 MB
feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_05_bucketize-and-transform-functions.mp4 5.7 MB
intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_02_tensorflow-api-hierarchy.mp4 5.5 MB
feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_01_apache-beam-and-dataflow.mp4 5.5 MB
art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_02_analytics-hub.mp4 5.5 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_03_transform-phase.mp4 5.5 MB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_01_prediction-using-vertex-ai-pipelines.mp4 5.4 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_03_vertex-ai-pipeline-best-practices.mp4 5.3 MB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_02_estimate-taxi-fare.mp4 5.2 MB
launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_01_supervised-learning.mp4 5.2 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_02_working-in-memory-and-with-files.mp4 5.2 MB
google-machine-learning/09_Resources/06_module-6-slides/06_01__Module 6-Summary.pdf 5.1 MB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_07_data-analysis-and-visualization.mp4 5.1 MB
launching-machine-learning/06_optimization/02_defining-ml-models/02_01_defining-ml-models.mp4 5.0 MB
google-machine-learning/09_Resources/03_module-3-slides/03_01__Module 3-How Google Does ML.pdf 5.0 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_06_infuse-your-apps-with-ml.mp4 4.9 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_01_training-on-large-datasets-with-tf-data-api.mp4 4.7 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_05_the-path-to-ml.mp4 4.6 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_05_training-requirements-and-dependencies-part-2.mp4 4.6 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_02_analyze-phase.mp4 4.6 MB
launching-machine-learning/06_optimization/04_tensorflow-playground/04_02_lecture-lab-tensorflow-playground-advanced.mp4 4.6 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_09_resources-the-science-of-machine-learning_PDF_Ref_Additional_Notes_Science of Machine Learning.pdf 4.5 MB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_01_data-preprocessing-options.mp4 4.5 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_05_bigquery-ml-hyperparameter-tuning.mp4 4.4 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_02_ml-surprise.mp4 4.4 MB
launching-machine-learning/06_optimization/05_performance-metrics/05_01_performance-metrics.mp4 4.3 MB
intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_02_serving-models-in-the-cloud.mp4 4.3 MB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_04_supporting-serving.mp4 4.1 MB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_02_an-ml-recap.mp4 4.1 MB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_01_course-series-preview.mp4 4.1 MB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_03_lab-introduction-and-walkthrough-vertex-ai-pipeline_Walkthrough_Introduction_to_Vertex_AI_Pipelines (1).pdf 3.9 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_02_best-practices-for-model-monitoring.mp4 3.9 MB
feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_02_machine-learning-versus-statistics.mp4 3.9 MB
art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_02_data-catalog.mp4 3.7 MB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_01_series-summary.mp4 3.6 MB
art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_06_training-custom-ml-models-using-vertex-ai.mp4 3.5 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_01_best-practices-for-model-deployment-and-serving.mp4 3.3 MB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_07_tools-to-interact-with-vertex-ai.mp4 3.3 MB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_02_bigquery-machine-learning-supported-models.mp4 3.2 MB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_03_best-practices-for-machine-learning-environment-setup.mp4 3.1 MB
launching-machine-learning/06_optimization/03_gradient-descent/03_02_troubleshooting-loss-curves.mp4 3.0 MB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_01_what-is-a-feature-cross.mp4 2.9 MB
google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_02_data-preprocessing-best-practices.mp4 2.9 MB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_04_best-practices-for-artifact-organization.mp4 2.7 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_07_end-of-phases-deep-dive.mp4 2.6 MB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_04_ml-and-business-processes.mp4 2.6 MB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_03_activity-intro-framing-a-machine-learning-problem.mp4 2.5 MB
google-machine-learning/09_Resources/01_module-1-slides/01_01__Module 1-Intro to Specialization.pdf 2.4 MB
feature-engineering/03_module-2-raw-data-to-features/02_overview/02_02_raw-data-to-features.mp4 2.4 MB
art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_02_resource-best-practices-summary_[PDF] Best Practices for ML Development on Vertex AI.pdf 2.3 MB
art-science-ml/01_introduction onehack.us/01_introduction/01_01_course-introduction.mp4 2.1 MB
launching-machine-learning/07_generalization-and-sampling/01_generalization-and-sampling-module-introduction/01_01_introduction.mp4 2.1 MB
google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_02_course-introduction.mp4 2.1 MB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/04_the-feature-store-data-model/04_01_the-feature-store-data-model.mp4 2.0 MB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_02_what-is-automated-machine-learning.mp4 1.9 MB
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art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.mp4 264.0 KB
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art-science-ml/11_Resources/08_course-resources-all-readings/08_01__Machine Learning in the Enterprise - Resources.pdf 66.3 KB
launching-machine-learning/08_summary/01_course-summary/01_03_resource-all-readings_Launching into Machine Learning - Resources.pdf 61.7 KB
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intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_04_resources-building-neural-networks-with-the-tensorflow-and-keras-api_Module 3_ Building Neural Networks with the TensorFlow and Keras API - Resources.pdf 47.1 KB
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art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_08_resources-science-of-machine-learning-and-custom-training_Module 3_ The Science of Machine Learning and Custom Training - Resources.pdf 43.6 KB
art-science-ml/11_Resources/03_course-resource-module-3/03_01__Module 3_ The Science of Machine Learning and Custom Training - Resources.pdf 43.6 KB
art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_06_resources-data-in-the-enterprise_Module 2_ Data in the Enterprise - Resources.pdf 43.6 KB
art-science-ml/11_Resources/02_course-resource-module-2/02_01__Module 2_ Data in the Enterprise - Resources.pdf 43.6 KB
google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_09_resources-how-google-does-ml_Module 2_ How Google Does Machine Learning - Resources.pdf 43.3 KB
art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_05_resources-prediction-and-model-monitoring-using-vertex-ai_Module 5_ Prediction and Model Monitoring using Vertex AI - Resources.pdf 42.1 KB
art-science-ml/11_Resources/05_course-resource-module-5/05_01__Module 5_ Prediction and Model Monitoring using Vertex AI - Resources.pdf 42.1 KB
intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_04_resources-design-and-build-a-tensorflow-input-data-pipeline_Module 2_ Design and Build an Input Data Pipeline - Resources.pdf 40.9 KB
intro-tensorflow/07_Resources/02_resources-module-2/02_01__Module 2_ Design and Build an Input Data Pipeline - Resources.pdf 40.9 KB
launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_06_resources-training-automl-models-using-vertex-ai_Module 3_ Training AutoML Models Using Vertex AI - Resources.pdf 40.8 KB
launching-machine-learning/09_Resources/03_course-resource-module-3/03_01__Module 3_ Training AutoML Models Using Vertex AI - Resources.pdf 40.8 KB
intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_04_resources-training-at-scale-with-vertex-ai_Module 4_ Training at Scale with Vertex AI - Resources.pdf 40.7 KB
intro-tensorflow/07_Resources/04_resources-module-4/04_01__Module 4_ Training at Scale with Vertex AI - Resources.pdf 40.7 KB
google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_03_resources-machine-learning-development-with-vertex-notebooks_Module 4_ Machine Learning Development with Vertex Notebooks - Resources.pdf 40.6 KB
art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_05_resources-best-practices-for-ml-development-on-vertex-ai_Module 7_ Best Practices for Machine Learning Development - Resources.pdf 40.4 KB
art-science-ml/11_Resources/07_course-resource-module-7/07_01__Module 7_ Best Practices for Machine Learning Development - Resources.pdf 40.4 KB
art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_04_resources-understanding-the-ml-enterprise-workflow_Module 1_ Understanding the Machine Learning Enterprise Workflow - Resources.pdf 40.2 KB
art-science-ml/11_Resources/01_course-resource-module-1/01_01__Module 1_ Understanding the Machine Learning Enterprise Workflow - Resources.pdf 40.2 KB
launching-machine-learning/06_optimization/05_performance-metrics/05_04_resources-optimization_Module 5_ Optimization - Resources.pdf 40.0 KB
launching-machine-learning/09_Resources/05_course-resource-module-5/05_01__Module 5_ Optimization - Resources.pdf 40.0 KB
google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_09_resources-machine-learning-development-with-vertex-ai_Module 3_ Machine Learning Development with Vertex AI - Resources.pdf 39.8 KB
google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_09_resources-what-it-means-to-be-ai-first_Module 1_ What it Means to be AI First - Resources.pdf 39.7 KB
art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_04_resources-vertex-vizier-hyperparameter-tuning_Module 4_ Vertex Vizier Hyperparameter Tuning - Resources.pdf 39.5 KB
art-science-ml/11_Resources/04_course-resource-module-4/04_01__Module 4_ Vertex Vizier Hyperparameter Tuning - Resources.pdf 39.5 KB
launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_10_resources-get-to-know-your-data-improve-data-through-exploratory-data-analysis_Module 1_ Get to Know Your Data_ Improve Data through Exploratory Data Analysis - Resources.pdf 39.2 KB
launching-machine-learning/09_Resources/01_course-resource-module-1/01_01__Module 1_ Get to Know Your Data_ Improve Data through Exploratory Data Analysis - Resources.pdf 39.2 KB
feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_07_resources-feature-engineering_Module 3_ Feature Engineering - Resources.pdf 39.2 KB
art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_05_resources-vertex-ai-pipelines_Module 6_ Vertex AI Pipelines - Resources.pdf 39.1 KB
art-science-ml/11_Resources/06_course-resource-module-6/06_01__Module 6_ Vertex AI Pipelines - Resources.pdf 39.1 KB
launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_08_resources-bigquery-machine-learning-develop-ml-models-where-your-data-lives_Module 4_ BigQuery Machine Learning_ Develop ML Models Where Your Data Lives - Resources.pdf 38.9 KB
launching-machine-learning/09_Resources/04_course-resource-module-4/04_01__Module 4_ BigQuery Machine Learning_ Develop ML Models Where Your Data Lives - Resources.pdf 38.9 KB
feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_03_resources-raw-data-to-features_Module 2_ Raw Data to Features - Resources.pdf 38.7 KB
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launching-machine-learning/07_generalization-and-sampling/03_sampling/03_04_resources-generalization-and-sampling_Module 6_ Generalization and Sampling - Resources.pdf 38.6 KB
launching-machine-learning/09_Resources/06_course-resource-module-6/06_01__Module 6_ Generalization and Sampling - Resources.pdf 38.6 KB
google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_05_resources-responsible-ai-development_Module 6_ Responsible AI Development - Resources.pdf 38.2 KB
feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_06_resources-introduction-to-tensorflow-transform_Module 6_ TensorFlow Transform - Resources.pdf 37.9 KB
feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_03_resources-introduction-to-vertex-ai-feature-store_Module 1_ Introduction to Vertex AI Feature Store - Resources.pdf 37.4 KB
feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_06_resources-feature-crosses-tensorflow-playground_Module 5_ Feature Crosses and TensorFlow Playground - Resources.pdf 34.8 KB
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0. Join Our Discord for More Awesome Stuff!.txt 156 bytes
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