Torrents Search Engine
Search Any Type Of Torrents
Torrent Details
-
[Coursera] Machine Learning on Google Cloud Specialization - 5 course series
-
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 - 80.78 MB
-
02_01_improve-data-quality.mp4 - 18.39 MB
-
02_02_getting-started-with-google-cloud-and-qwiklabs.mp4 - 10.45 MB
-
02_05_what-is-exploratory-data-analysis.mp4 - 6.84 MB
-
02_06_how-is-eda-used-in-machine-learning.mp4 - 5.78 MB
-
02_07_data-analysis-and-visualization.mp4 - 5.1 MB
-
02_03_lab-intro-improve-the-quality-of-your-data.mp4 - 1.7 MB
-
02_08_lab-intro-explore-the-data-using-python-and-bigquery.mp4 - 1021.57 KB
-
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 - 39.21 KB
-
02_04_lab-demo-improve-the-quality-of-your-data.en.srt - 24.66 KB
-
02_01_improve-data-quality.en.srt - 15.39 KB
-
02_04_lab-demo-improve-the-quality-of-your-data.en.txt - 15.17 KB
-
02_01_improve-data-quality.en.txt - 8.11 KB
-
02_02_getting-started-with-google-cloud-and-qwiklabs.en.srt - 6.36 KB
-
02_05_what-is-exploratory-data-analysis.en.srt - 5.43 KB
-
02_06_how-is-eda-used-in-machine-learning.en.srt - 5.32 KB
-
02_09_get-to-know-your-data-improve-data-through-exploratory-data-analysis_exam.html - 4.43 KB
-
02_07_data-analysis-and-visualization.en.srt - 4.13 KB
-
02_02_getting-started-with-google-cloud-and-qwiklabs.en.txt - 4.02 KB
-
02_05_what-is-exploratory-data-analysis.en.txt - 2.91 KB
-
02_06_how-is-eda-used-in-machine-learning.en.txt - 2.81 KB
-
02_07_data-analysis-and-visualization.en.txt - 2.48 KB
-
02_03_lab-intro-improve-the-quality-of-your-data.en.srt - 1.63 KB
-
02_10_resources-get-to-know-your-data-improve-data-through-exploratory-data-analysis_instructions.html - 1.22 KB
-
02_03_lab-intro-improve-the-quality-of-your-data.en.txt - 864 B
-
02_08_lab-intro-explore-the-data-using-python-and-bigquery.en.srt - 839 B
-
02_08_lab-intro-explore-the-data-using-python-and-bigquery.en.txt - 509 B
-
-
01_get-to-know-your-data-module-introduction
-
01_01_introduction.mp4 - 923.68 KB
-
01_01_introduction.en.srt - 1.08 KB
-
01_01_introduction.en.txt - 574 B
-
-
-
03_machine-learning-in-practice
-
02_supervised-learning
-
02_04_lab-demo-intro-to-linear-regression.mp4 - 41.23 MB
-
02_05_logistic-regression.mp4 - 32.94 MB
-
02_02_linear-regression.mp4 - 14.61 MB
-
02_01_supervised-learning.mp4 - 5.21 MB
-
02_03_lab-intro-introduction-to-linear-regression.mp4 - 573.62 KB
-
02_07_resources-machine-learning-in-practice_Module 2_ Machine Learning in Practice - Resources.pdf - 44.29 KB
-
02_05_logistic-regression.en.srt - 26.12 KB
-
02_02_linear-regression.en.srt - 19.65 KB
-
02_05_logistic-regression.en.txt - 16.59 KB
-
02_04_lab-demo-intro-to-linear-regression.en.srt - 14.72 KB
-
02_02_linear-regression.en.txt - 10.33 KB
-
02_04_lab-demo-intro-to-linear-regression.en.txt - 8.85 KB
-
02_01_supervised-learning.en.srt - 7.35 KB
-
02_06_machine-learning-in-practice_exam.html - 4.49 KB
-
02_01_supervised-learning.en.txt - 3.8 KB
-
02_07_resources-machine-learning-in-practice_instructions.html - 1.12 KB
-
02_03_lab-intro-introduction-to-linear-regression.en.srt - 531 B
-
02_03_lab-intro-introduction-to-linear-regression.en.txt - 268 B
-
-
01_machine-learning-in-practice-module-introduction
-
01_01_introduction.mp4 - 785.93 KB
-
01_01_introduction.en.srt - 777 B
-
01_01_introduction.en.txt - 481 B
-
-
-
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 - 28.24 MB
-
02_01_training-an-ml-model-using-bigquery-ml.mp4 - 7.75 MB
-
02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.mp4 - 7.43 MB
-
02_05_bigquery-ml-hyperparameter-tuning.mp4 - 4.44 MB
-
02_02_bigquery-machine-learning-supported-models.mp4 - 3.22 MB
-
02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.mp4 - 631.32 KB
-
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 - 38.91 KB
-
02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.srt - 12.89 KB
-
02_01_training-an-ml-model-using-bigquery-ml.en.srt - 7.87 KB
-
02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.en.srt - 7.84 KB
-
02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.txt - 7.7 KB
-
02_07_bigquery-machine-learning-develop-ml-models-where-your-data-lives_exam.html - 5.06 KB
-
02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.en.txt - 4.93 KB
-
02_01_training-an-ml-model-using-bigquery-ml.en.txt - 4.73 KB
-
02_05_bigquery-ml-hyperparameter-tuning.en.srt - 4.46 KB
-
02_02_bigquery-machine-learning-supported-models.en.srt - 3.87 KB
-
02_05_bigquery-ml-hyperparameter-tuning.en.txt - 2.38 KB
-
02_02_bigquery-machine-learning-supported-models.en.txt - 2.02 KB
-
02_08_resources-bigquery-machine-learning-develop-ml-models-where-your-data-lives_instructions.html - 1.19 KB
-
02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.srt - 824 B
-
02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.en.txt - 426 B
-
-
01_bigquery-machine-learning-module-introduction
-
01_01_introduction.mp4 - 594.63 KB
-
01_01_introduction.en.srt - 600 B
-
01_01_introduction.en.txt - 304 B
-
-
-
08_summary
-
01_course-summary
-
01_04_resource-all-slides_Resource All slides.pdf - 22.04 MB
-
01_01_summary_Launching into Machine Learning _ Course Summary.pdf - 958.17 KB
-
01_02_resource-all-quiz-questions_v3.0_ALL - Quiz Question LIML .docx.pdf - 172.18 KB
-
01_03_resource-all-readings_Launching into Machine Learning - Resources.pdf - 61.69 KB
-
01_02_resource-all-quiz-questions_instructions.html - 1.14 KB
-
01_03_resource-all-readings_instructions.html - 1.11 KB
-
01_01_summary_instructions.html - 1.1 KB
-
01_04_resource-all-slides_instructions.html - 1.07 KB
-
-
-
07_generalization-and-sampling
-
03_sampling
-
03_02_demo-splitting-datasets-in-bigquery.mp4 - 14.59 MB
-
03_01_creating-repeatable-samples-in-bigquery.mp4 - 8.31 MB
-
03_04_resources-generalization-and-sampling_Module 6_ Generalization and Sampling - Resources.pdf - 38.6 KB
-
03_02_demo-splitting-datasets-in-bigquery.en.srt - 16.51 KB
-
03_01_creating-repeatable-samples-in-bigquery.en.srt - 11.79 KB
-
03_02_demo-splitting-datasets-in-bigquery.en.txt - 8.55 KB
-
03_01_creating-repeatable-samples-in-bigquery.en.txt - 6.16 KB
-
03_03_generalization-and-sampling_exam.html - 5.37 KB
-
03_04_resources-generalization-and-sampling_instructions.html - 1.12 KB
-
-
02_generalization
-
02_01_generalization-and-ml-models.mp4 - 7.4 MB
-
02_02_when-to-stop-model-training.mp4 - 6.01 MB
-
02_01_generalization-and-ml-models.en.srt - 9.82 KB
-
02_02_when-to-stop-model-training.en.srt - 8.41 KB
-
02_01_generalization-and-ml-models.en.txt - 6.1 KB
-
02_02_when-to-stop-model-training.en.txt - 4.51 KB
-
-
01_generalization-and-sampling-module-introduction
-
01_01_introduction.mp4 - 2.07 MB
-
01_01_introduction.en.srt - 2.65 KB
-
01_01_introduction.en.txt - 1.73 KB
-
-
-
04_training-automl-models-using-vertex-ai
-
02_train-automl-models-using-vertex-ai
-
02_04_evaluate-automl-models.mp4 - 14.28 MB
-
02_03_automl-regression-model.mp4 - 13.46 MB
-
02_01_machine-learning-vs-deep-learning.mp4 - 9.2 MB
-
02_02_what-is-automated-machine-learning.mp4 - 1.92 MB
-
02_06_resources-training-automl-models-using-vertex-ai_Module 3_ Training AutoML Models Using Vertex AI - Resources.pdf - 40.77 KB
-
02_04_evaluate-automl-models.en.srt - 14.08 KB
-
02_03_automl-regression-model.en.srt - 13.93 KB
-
02_01_machine-learning-vs-deep-learning.en.srt - 12.21 KB
-
02_04_evaluate-automl-models.en.txt - 8.86 KB
-
02_03_automl-regression-model.en.txt - 8.33 KB
-
02_05_training-automl-models-using-vertex-ai_exam.html - 7.68 KB
-
02_01_machine-learning-vs-deep-learning.en.txt - 6.41 KB
-
02_02_what-is-automated-machine-learning.en.srt - 1.92 KB
-
02_02_what-is-automated-machine-learning.en.txt - 1.2 KB
-
02_06_resources-training-automl-models-using-vertex-ai_instructions.html - 1.13 KB
-
-
01_training-automl-models-using-vertex-ai-module-introduction
-
01_01_introduction.mp4 - 604.66 KB
-
01_01_introduction.en.srt - 593 B
-
01_01_introduction.en.txt - 330 B
-
-
-
06_optimization
-
03_gradient-descent
-
03_01_gradient-descent.mp4 - 11.11 MB
-
03_03_ml-model-pitfalls.mp4 - 8.02 MB
-
03_02_troubleshooting-loss-curves.mp4 - 2.97 MB
-
03_03_ml-model-pitfalls.en.srt - 11.35 KB
-
03_01_gradient-descent.en.srt - 8.71 KB
-
03_03_ml-model-pitfalls.en.txt - 6.13 KB
-
03_01_gradient-descent.en.txt - 4.65 KB
-
03_02_troubleshooting-loss-curves.en.srt - 4.32 KB
-
03_02_troubleshooting-loss-curves.en.txt - 2.31 KB
-
-
04_tensorflow-playground
-
04_03_lecture-lab-practicing-with-neural-networks.mp4 - 9.34 MB
-
04_01_lecture-lab-introducing-the-tensorflow-playground.mp4 - 7.55 MB
-
04_02_lecture-lab-tensorflow-playground-advanced.mp4 - 4.55 MB
-
04_03_lecture-lab-practicing-with-neural-networks.en.srt - 12.28 KB
-
04_01_lecture-lab-introducing-the-tensorflow-playground.en.srt - 9.85 KB
-
04_03_lecture-lab-practicing-with-neural-networks.en.txt - 6.44 KB
-
04_02_lecture-lab-tensorflow-playground-advanced.en.srt - 5.84 KB
-
04_01_lecture-lab-introducing-the-tensorflow-playground.en.txt - 5.31 KB
-
04_02_lecture-lab-tensorflow-playground-advanced.en.txt - 3.16 KB
-
-
02_defining-ml-models
-
02_03_introduction-to-loss-functions.mp4 - 9.09 MB
-
02_02_introducing-the-course-dataset.mp4 - 8.51 MB
-
02_01_defining-ml-models.mp4 - 4.99 MB
-
02_02_introducing-the-course-dataset.en.srt - 11.08 KB
-
02_03_introduction-to-loss-functions.en.srt - 10.03 KB
-
02_03_introduction-to-loss-functions.en.txt - 6.11 KB
-
02_01_defining-ml-models.en.srt - 5.92 KB
-
02_02_introducing-the-course-dataset.en.txt - 5.82 KB
-
02_01_defining-ml-models.en.txt - 3.78 KB
-
-
05_performance-metrics
-
05_02_confusion-matrix.mp4 - 8.29 MB
-
05_01_performance-metrics.mp4 - 4.35 MB
-
05_04_resources-optimization_Module 5_ Optimization - Resources.pdf - 40.03 KB
-
05_02_confusion-matrix.en.srt - 9.39 KB
-
05_01_performance-metrics.en.srt - 6.78 KB
-
05_02_confusion-matrix.en.txt - 4.95 KB
-
05_03_optimization_exam.html - 4.85 KB
-
05_01_performance-metrics.en.txt - 3.57 KB
-
05_04_resources-optimization_instructions.html - 1.1 KB
-
-
01_optimization-module-introduction
-
01_01_introduction.mp4 - 642.58 KB
-
01_01_introduction.en.srt - 746 B
-
01_01_introduction.en.txt - 416 B
-
-
-
01_introduction
-
01_introduction-to-the-course
-
01_01_course-introduction.mp4 - 848.54 KB
-
01_01_course-introduction.en.srt - 704 B
-
01_01_course-introduction.en.txt - 474 B
-
-
-
09_Resources
-
07_resource-all-readings
-
07_01__Launching into Machine Learning - Resources.pdf - 61.69 KB
-
07_01__resources.html - 1.12 KB
-
-
02_course-resource-module-2
-
02_01__Module 2_ Machine Learning in Practice - Resources.pdf - 44.29 KB
-
02_01__resources.html - 1.11 KB
-
-
03_course-resource-module-3
-
03_01__Module 3_ Training AutoML Models Using Vertex AI - Resources.pdf - 40.77 KB
-
03_01__resources.html - 1.13 KB
-
-
05_course-resource-module-5
-
05_01__Module 5_ Optimization - Resources.pdf - 40.03 KB
-
05_01__resources.html - 1.08 KB
-
-
01_course-resource-module-1
-
01_01__Module 1_ Get to Know Your Data_ Improve Data through Exploratory Data Analysis - Resources.pdf - 39.21 KB
-
01_01__resources.html - 1.18 KB
-
-
04_course-resource-module-4
-
04_01__Module 4_ BigQuery Machine Learning_ Develop ML Models Where Your Data Lives - Resources.pdf - 38.91 KB
-
04_01__resources.html - 1.18 KB
-
-
06_course-resource-module-6
-
06_01__Module 6_ Generalization and Sampling - Resources.pdf - 38.6 KB
-
06_01__resources.html - 1.11 KB
-
-
-
-
art-science-ml
-
05_vertex-vizier-hyperparameter-tuning
-
02_hyperparameter-tuning
-
02_01_vertex-ai-vizier-hyperparameter-tuning.mp4 - 23.31 MB
-
02_02_lab-intro-vertex-ai-hyperparameter-tuning.mp4 - 491.9 KB
-
02_04_resources-vertex-vizier-hyperparameter-tuning_Module 4_ Vertex Vizier Hyperparameter Tuning - Resources.pdf - 39.46 KB
-
02_01_vertex-ai-vizier-hyperparameter-tuning.en.srt - 21.17 KB
-
02_01_vertex-ai-vizier-hyperparameter-tuning.en.txt - 12.73 KB
-
02_03_vertex-vizier-hyperparameter-tuning_exam.html - 5.06 KB
-
02_04_resources-vertex-vizier-hyperparameter-tuning_instructions.html - 1.13 KB
-
02_02_lab-intro-vertex-ai-hyperparameter-tuning.en.srt - 548 B
-
02_02_lab-intro-vertex-ai-hyperparameter-tuning.en.txt - 318 B
-
-
01_vertex-vizier-hyperparameter-tuning-module-introduction
-
01_01_introduction.mp4 - 323.4 KB
-
01_01_introduction.en.srt - 327 B
-
01_01_introduction.en.txt - 163 B
-
-
-
09_course-summary
-
01_course-summary
-
01_04_resource-all-slides_T-MLGCP5-A _ MLE_CourseSlides.pdf - 21.49 MB
-
01_01_summary_Machine Learning in the Enterprise _ Course Summary.pdf - 915.12 KB
-
01_02_resource-all-quiz-questions_ML in the Enterprise - ALL QUIZ QUESTIONS v3.0.docx.pdf - 171.79 KB
-
01_03_resources-all-readings_Machine Learning in the Enterprise - Resources.pdf - 66.31 KB
-
01_03_resources-all-readings_instructions.html - 1.14 KB
-
01_01_summary_instructions.html - 1.07 KB
-
01_02_resource-all-quiz-questions_instructions.html - 1.07 KB
-
01_04_resource-all-slides_instructions.html - 1.05 KB
-
-
-
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
-
02_02_make-training-faster.mp4 - 9.92 MB
-
02_01_the-art-and-science-of-machine-learning.mp4 - 9.43 MB
-
02_03_when-to-use-custom-training.mp4 - 7.22 MB
-
02_05_training-requirements-and-dependencies-part-2.mp4 - 4.6 MB
-
02_09_resources-the-science-of-machine-learning_PDF_Ref_Additional_Notes_Science of Machine Learning.pdf - 4.55 MB
-
02_06_training-custom-ml-models-using-vertex-ai.mp4 - 3.52 MB
-
02_08_resources-science-of-machine-learning-and-custom-training_Module 3_ The Science of Machine Learning and Custom Training - Resources.pdf - 43.65 KB
-
02_04_training-requirements-and-dependencies-part-1.en.srt - 13.06 KB
-
02_02_make-training-faster.en.srt - 11.61 KB
-
02_01_the-art-and-science-of-machine-learning.en.srt - 10.81 KB
-
02_02_make-training-faster.en.txt - 7.37 KB
-
02_04_training-requirements-and-dependencies-part-1.en.txt - 6.84 KB
-
02_07_science-of-machine-learning-and-custom-training_exam.html - 6.45 KB
-
02_03_when-to-use-custom-training.en.srt - 6.38 KB
-
02_01_the-art-and-science-of-machine-learning.en.txt - 5.68 KB
-
02_05_training-requirements-and-dependencies-part-2.en.srt - 4.19 KB
-
02_03_when-to-use-custom-training.en.txt - 4.03 KB
-
02_06_training-custom-ml-models-using-vertex-ai.en.srt - 3.03 KB
-
02_05_training-requirements-and-dependencies-part-2.en.txt - 2.71 KB
-
02_06_training-custom-ml-models-using-vertex-ai.en.txt - 1.61 KB
-
02_08_resources-science-of-machine-learning-and-custom-training_instructions.html - 1.16 KB
-
02_09_resources-the-science-of-machine-learning_instructions.html - 1.07 KB
-
-
01_science-of-machine-learning-and-custom-training-module-introduction
-
01_01_introduction.mp4 - 470.43 KB
-
01_01_introduction.en.srt - 371 B
-
01_01_introduction.en.txt - 240 B
-
-
-
06_prediction-and-model-monitoring-using-vertex-ai
-
02_predictions-and-model-monitoring
-
02_02_model-management-using-vertex-ai.mp4 - 11.42 MB
-
02_01_predictions-using-vertex-ai.mp4 - 9.93 MB
-
02_03_lab-intro-monitoring-vertex-ai-models.mp4 - 467.38 KB
-
02_05_resources-prediction-and-model-monitoring-using-vertex-ai_Module 5_ Prediction and Model Monitoring using Vertex AI - Resources.pdf - 42.14 KB
-
02_02_model-management-using-vertex-ai.en.srt - 9.9 KB
-
02_01_predictions-using-vertex-ai.en.srt - 8.71 KB
-
02_04_prediction-and-model-monitoring-using-vertex-ai_exam.html - 6.2 KB
-
02_02_model-management-using-vertex-ai.en.txt - 6.11 KB
-
02_01_predictions-using-vertex-ai.en.txt - 4.61 KB
-
02_05_resources-prediction-and-model-monitoring-using-vertex-ai_instructions.html - 1.16 KB
-
02_03_lab-intro-monitoring-vertex-ai-models.en.srt - 487 B
-
02_03_lab-intro-monitoring-vertex-ai-models.en.txt - 290 B
-
-
01_prediction-and-model-monitoring-using-vertex-ai-module-introduction
-
01_01_introduction.mp4 - 850.97 KB
-
01_01_introduction.en.srt - 761 B
-
01_01_introduction.en.txt - 397 B
-
-
-
03_data-in-the-enterprise
-
04_data-preprocessing-options
-
04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 - 10.45 MB
-
04_02_dataprep.mp4 - 8.94 MB
-
04_01_data-preprocessing-options.mp4 - 4.51 MB
-
04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.mp4 - 263.95 KB
-
04_06_resources-data-in-the-enterprise_Module 2_ Data in the Enterprise - Resources.pdf - 43.57 KB
-
04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.en.srt - 7.37 KB
-
04_02_dataprep.en.srt - 6.99 KB
-
04_05_data-in-the-enterprise_exam.html - 5.19 KB
-
04_01_data-preprocessing-options.en.srt - 4.49 KB
-
04_02_dataprep.en.txt - 4.31 KB
-
04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.en.txt - 3.92 KB
-
04_01_data-preprocessing-options.en.txt - 2.41 KB
-
04_06_resources-data-in-the-enterprise_instructions.html - 1.11 KB
-
04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.en.srt - 250 B
-
04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.en.txt - 152 B
-
-
02_tools-for-data-management-and-governance
-
02_01_feature-store.mp4 - 9.77 MB
-
02_02_data-catalog.mp4 - 3.68 MB
-
02_01_feature-store.en.srt - 7.66 KB
-
02_01_feature-store.en.txt - 4.81 KB
-
02_02_data-catalog.en.srt - 2.72 KB
-
02_02_data-catalog.en.txt - 1.7 KB
-
-
03_pre-ga-tools
-
03_01_dataplex.mp4 - 6.04 MB
-
03_02_analytics-hub.mp4 - 5.49 MB
-
03_01_dataplex.en.srt - 6.47 KB
-
03_02_analytics-hub.en.srt - 4.66 KB
-
03_01_dataplex.en.txt - 3.43 KB
-
03_02_analytics-hub.en.txt - 2.91 KB
-
-
01_data-in-the-enterprise-module-introduction
-
01_01_introduction.mp4 - 435.34 KB
-
01_01_introduction.en.srt - 368 B
-
01_01_introduction.en.txt - 204 B
-
-
-
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 - 7.13 MB
-
01_01_introduction.mp4 - 367.29 KB
-
01_04_resources-understanding-the-ml-enterprise-workflow_Module 1_ Understanding the Machine Learning Enterprise Workflow - Resources.pdf - 40.22 KB
-
01_02_overview-of-an-ml-enterprise-workflow.en.srt - 6.13 KB
-
01_03_understanding-the-ml-enterprise-workflow_exam.html - 4.34 KB
-
01_02_overview-of-an-ml-enterprise-workflow.en.txt - 3.92 KB
-
01_04_resources-understanding-the-ml-enterprise-workflow_instructions.html - 1.15 KB
-
01_01_introduction.en.srt - 289 B
-
01_01_introduction.en.txt - 191 B
-
-
-
07_vertex-ai-pipelines
-
02_prediction-using-vertex-ai-pipelines
-
02_01_prediction-using-vertex-ai-pipelines.mp4 - 5.37 MB
-
02_03_lab-introduction-and-walkthrough-vertex-ai-pipeline_Walkthrough_Introduction_to_Vertex_AI_Pipelines (1).pdf - 3.95 MB
-
02_02_lab-intro-vertex-ai-pipelines.mp4 - 1.03 MB
-
02_05_resources-vertex-ai-pipelines_Module 6_ Vertex AI Pipelines - Resources.pdf - 39.09 KB
-
02_01_prediction-using-vertex-ai-pipelines.en.srt - 4.57 KB
-
02_04_vertex-ai-pipelines_exam.html - 3.7 KB
-
02_01_prediction-using-vertex-ai-pipelines.en.txt - 2.92 KB
-
02_05_resources-vertex-ai-pipelines_instructions.html - 1.1 KB
-
02_03_lab-introduction-and-walkthrough-vertex-ai-pipeline_instructions.html - 1.07 KB
-
02_02_lab-intro-vertex-ai-pipelines.en.srt - 827 B
-
02_02_lab-intro-vertex-ai-pipelines.en.txt - 531 B
-
-
01_vertex-ai-pipelines-module-introduction
-
01_01_introduction.mp4 - 351.33 KB
-
01_01_introduction.en.srt - 286 B
-
01_01_introduction.en.txt - 155 B
-
-
-
08_best-practices-for-ml-development
-
02_best-practices-for-ml-development-on-vertex-ai
-
02_03_vertex-ai-pipeline-best-practices.mp4 - 5.26 MB
-
02_02_best-practices-for-model-monitoring.mp4 - 3.94 MB
-
02_01_best-practices-for-model-deployment-and-serving.mp4 - 3.33 MB
-
02_04_best-practices-for-artifact-organization.mp4 - 2.74 MB
-
02_05_resources-best-practices-for-ml-development-on-vertex-ai_Module 7_ Best Practices for Machine Learning Development - Resources.pdf - 40.38 KB
-
02_03_vertex-ai-pipeline-best-practices.en.srt - 4.98 KB
-
02_02_best-practices-for-model-monitoring.en.srt - 4.45 KB
-
02_03_vertex-ai-pipeline-best-practices.en.txt - 3.23 KB
-
02_01_best-practices-for-model-deployment-and-serving.en.srt - 2.98 KB
-
02_04_best-practices-for-artifact-organization.en.srt - 2.68 KB
-
02_02_best-practices-for-model-monitoring.en.txt - 2.4 KB
-
02_01_best-practices-for-model-deployment-and-serving.en.txt - 1.9 KB
-
02_04_best-practices-for-artifact-organization.en.txt - 1.69 KB
-
02_05_resources-best-practices-for-ml-development-on-vertex-ai_instructions.html - 1.16 KB
-
-
01_best-practices-for-ml-development-on-vertex-ai-module-introduction
-
01_01_introduction.mp4 - 440.83 KB
-
01_01_introduction.en.srt - 473 B
-
01_01_introduction.en.txt - 243 B
-
-
-
10_series-summary onehack.us
-
01_course-series-summary
-
01_01_series-summary.mp4 - 3.57 MB
-
01_02_resource-best-practices-summary_[PDF] Best Practices for ML Development on Vertex AI.pdf - 2.31 MB
-
01_01_series-summary.en.srt - 3.31 KB
-
01_01_series-summary.en.txt - 2.12 KB
-
01_02_resource-best-practices-summary_instructions.html - 1.07 KB
-
-
-
01_introduction onehack.us
-
01_introduction
-
01_01_course-introduction.mp4 - 2.11 MB
-
01_01_course-introduction.en.srt - 1.84 KB
-
01_01_course-introduction.en.txt - 1008 B
-
-
-
11_Resources
-
08_course-resources-all-readings
-
08_01__Machine Learning in the Enterprise - Resources.pdf - 66.31 KB
-
08_01__resources.html - 1.12 KB
-
-
03_course-resource-module-3
-
03_01__Module 3_ The Science of Machine Learning and Custom Training - Resources.pdf - 43.65 KB
-
03_01__resources.html - 1.15 KB
-
-
02_course-resource-module-2
-
02_01__Module 2_ Data in the Enterprise - Resources.pdf - 43.57 KB
-
02_01__resources.html - 1.1 KB
-
-
05_course-resource-module-5
-
05_01__Module 5_ Prediction and Model Monitoring using Vertex AI - Resources.pdf - 42.14 KB
-
05_01__resources.html - 1.15 KB
-
-
07_course-resource-module-7
-
07_01__Module 7_ Best Practices for Machine Learning Development - Resources.pdf - 40.38 KB
-
07_01__resources.html - 1.14 KB
-
-
01_course-resource-module-1
-
01_01__Module 1_ Understanding the Machine Learning Enterprise Workflow - Resources.pdf - 40.22 KB
-
01_01__resources.html - 1.15 KB
-
-
04_course-resource-module-4
-
04_01__Module 4_ Vertex Vizier Hyperparameter Tuning - Resources.pdf - 39.46 KB
-
04_01__resources.html - 1.12 KB
-
-
06_course-resource-module-6
-
06_01__Module 6_ Vertex AI Pipelines - Resources.pdf - 39.09 KB
-
06_01__resources.html - 1.09 KB
-
-
-
-
google-machine-learning
-
08_summary
-
01_course-summary
-
01_04_resource-all-slides_HGML_CourseSlides.pdf - 21.66 MB
-
01_01_summary_How Google Does Machine Learning _ Course Summary.pdf - 1.45 MB
-
01_02_resource-all-quiz-questions_HGDML - ALL QUIZ QUESTIONS and ANSWERS v3.0.pdf - 178.44 KB
-
01_03_resource-all-readings_How Google Does Machine Learning - Resources.pdf - 56.09 KB
-
01_02_resource-all-quiz-questions_instructions.html - 1.08 KB
-
01_03_resource-all-readings_instructions.html - 1.07 KB
-
01_01_summary_instructions.html - 1.07 KB
-
01_04_resource-all-slides_instructions.html - 1.04 KB
-
-
-
04_machine-learning-development-with-vertex-ai
-
03_vertex-ai
-
03_06_lab-demo-training-an-automl-video-classification-model.mp4 - 21.61 MB
-
03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.mp4 - 17.79 MB
-
03_02_getting-started-with-google-cloud-platform-and-qwiklabs.mp4 - 10.45 MB
-
03_01_components-of-vertex-ai.mp4 - 7.7 MB
-
03_07_tools-to-interact-with-vertex-ai.mp4 - 3.31 MB
-
03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.mp4 - 378.64 KB
-
03_05_lab-intro-training-an-automl-video-classification-model.mp4 - 361.24 KB
-
03_09_resources-machine-learning-development-with-vertex-ai_Module 3_ Machine Learning Development with Vertex AI - Resources.pdf - 39.8 KB
-
03_06_lab-demo-training-an-automl-video-classification-model.en.srt - 10.39 KB
-
03_01_components-of-vertex-ai.en.srt - 9.34 KB
-
03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.en.srt - 8.4 KB
-
03_02_getting-started-with-google-cloud-platform-and-qwiklabs.en.srt - 7.6 KB
-
03_08_machine-learning-development-with-vertex-ai_exam.html - 7 KB
-
03_06_lab-demo-training-an-automl-video-classification-model.en.txt - 6.32 KB
-
03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.en.txt - 5.12 KB
-
03_01_components-of-vertex-ai.en.txt - 4.97 KB
-
03_02_getting-started-with-google-cloud-platform-and-qwiklabs.en.txt - 3.98 KB
-
03_07_tools-to-interact-with-vertex-ai.en.srt - 3.6 KB
-
03_07_tools-to-interact-with-vertex-ai.en.txt - 2.32 KB
-
03_09_resources-machine-learning-development-with-vertex-ai_instructions.html - 1.09 KB
-
03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.en.srt - 487 B
-
03_05_lab-intro-training-an-automl-video-classification-model.en.srt - 436 B
-
03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.en.txt - 257 B
-
03_05_lab-intro-training-an-automl-video-classification-model.en.txt - 239 B
-
-
02_moving-from-experimentation-to-production
-
02_01_moving-from-experimentation-to-production.mp4 - 13.28 MB
-
02_01_moving-from-experimentation-to-production.en.srt - 12.89 KB
-
02_01_moving-from-experimentation-to-production.en.txt - 8.31 KB
-
-
01_ml-development-with-vertex-ai-module-introduction
-
01_01_introduction.mp4 - 1.63 MB
-
01_01_introduction.en.srt - 1.94 KB
-
01_01_introduction.en.txt - 1.06 KB
-
-
-
07_responsible-ai-development
-
03_equality-in-metrics-and-data
-
03_03_how-to-find-errors-in-your-dataset-using-facets.mp4 - 15.58 MB
-
03_02_equality-of-opportunity.mp4 - 13.57 MB
-
03_01_evaluating-metrics-with-inclusion-for-your-ml-system.mp4 - 10.92 MB
-
03_05_resources-responsible-ai-development_Module 6_ Responsible AI Development - Resources.pdf - 38.2 KB
-
03_02_equality-of-opportunity.en.srt - 17.94 KB
-
03_01_evaluating-metrics-with-inclusion-for-your-ml-system.en.srt - 12.16 KB
-
03_03_how-to-find-errors-in-your-dataset-using-facets.en.srt - 9.53 KB
-
03_02_equality-of-opportunity.en.txt - 9.3 KB
-
03_04_responsible-ai-development_exam.html - 9.03 KB
-
03_01_evaluating-metrics-with-inclusion-for-your-ml-system.en.txt - 7.38 KB
-
03_03_how-to-find-errors-in-your-dataset-using-facets.en.txt - 5.09 KB
-
03_05_resources-responsible-ai-development_instructions.html - 1.08 KB
-
-
02_machine-learning-and-human-bias
-
02_03_biases-in-data.mp4 - 7.74 MB
-
02_02_human-biases-lead-to-biases-in-ml-models.mp4 - 6.99 MB
-
02_01_overview.mp4 - 1.21 MB
-
02_03_biases-in-data.en.srt - 8.79 KB
-
02_03_biases-in-data.en.txt - 5.47 KB
-
02_02_human-biases-lead-to-biases-in-ml-models.en.srt - 3.63 KB
-
02_02_human-biases-lead-to-biases-in-ml-models.en.txt - 2.21 KB
-
02_01_overview.en.srt - 1.68 KB
-
02_01_overview.en.txt - 1.12 KB
-
-
01_responsible-ai-development-module-introduction
-
01_01_introduction.mp4 - 523.57 KB
-
01_01_introduction.en.srt - 459 B
-
01_01_introduction.en.txt - 295 B
-
-
-
02_what-it-means-to-be-ai-first
-
02_machine-learning-on-google-cloud
-
02_07_build-a-data-strategy-around-ml.mp4 - 13.96 MB
-
02_01_what-is-ml.mp4 - 11.13 MB
-
02_02_what-problems-can-it-solve.mp4 - 7.97 MB
-
02_05_activity-solutions-framing-a-machine-learning-problem.mp4 - 5.73 MB
-
02_06_infuse-your-apps-with-ml.mp4 - 4.92 MB
-
02_03_activity-intro-framing-a-machine-learning-problem.mp4 - 2.48 MB
-
02_04_activity-framing-a-machine-learning-problem_Activity Framing a machine learning problem.pdf - 306.3 KB
-
02_09_resources-what-it-means-to-be-ai-first_Module 1_ What it Means to be AI First - Resources.pdf - 39.72 KB
-
02_07_build-a-data-strategy-around-ml.en.srt - 16.8 KB
-
02_01_what-is-ml.en.srt - 12.39 KB
-
02_02_what-problems-can-it-solve.en.srt - 10.59 KB
-
02_07_build-a-data-strategy-around-ml.en.txt - 8.8 KB
-
02_01_what-is-ml.en.txt - 7.71 KB
-
02_05_activity-solutions-framing-a-machine-learning-problem.en.srt - 6.08 KB
-
02_02_what-problems-can-it-solve.en.txt - 5.47 KB
-
02_06_infuse-your-apps-with-ml.en.srt - 4.84 KB
-
02_08_what-it-means-to-be-ai-first_exam.html - 4.39 KB
-
02_05_activity-solutions-framing-a-machine-learning-problem.en.txt - 3.17 KB
-
02_06_infuse-your-apps-with-ml.en.txt - 3.09 KB
-
02_03_activity-intro-framing-a-machine-learning-problem.en.srt - 2.15 KB
-
02_03_activity-intro-framing-a-machine-learning-problem.en.txt - 1.13 KB
-
02_09_resources-what-it-means-to-be-ai-first_instructions.html - 1.09 KB
-
02_04_activity-framing-a-machine-learning-problem_instructions.html - 1.07 KB
-
-
01_what-it-means-to-be-ai-first-module-introduction
-
01_01_introduction.mp4 - 730.49 KB
-
01_01_introduction.en.srt - 705 B
-
01_01_introduction.en.txt - 375 B
-
-
-
09_Resources
-
05_module-5-slides
-
05_01__Module 5-Python notebooks in the cloud.pdf - 12.17 MB
-
05_01__resources.html - 1.1 KB
-
-
02_module-2-slides
-
02_01__Module 2-What it means to be AI-first.pdf - 11.03 MB
-
02_01__resources.html - 1.1 KB
-
-
04_module-4-slides
-
04_01__Module 4-Inclusive ML.pdf - 6.43 MB
-
04_01__resources.html - 1.08 KB
-
-
06_module-6-slides
-
06_01__Module 6-Summary.pdf - 5.11 MB
-
06_01__resources.html - 1.08 KB
-
-
03_module-3-slides
-
03_01__Module 3-How Google Does ML.pdf - 4.99 MB
-
03_01__resources.html - 1.09 KB
-
-
01_module-1-slides
-
01_01__Module 1-Intro to Specialization.pdf - 2.43 MB
-
01_01__resources.html - 1.09 KB
-
-
-
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
-
01_03_the-secret-sauce.mp4 - 10.45 MB
-
01_05_the-path-to-ml.mp4 - 4.62 MB
-
01_02_ml-surprise.mp4 - 4.42 MB
-
01_07_end-of-phases-deep-dive.mp4 - 2.64 MB
-
01_04_ml-and-business-processes.mp4 - 2.61 MB
-
01_01_introduction.mp4 - 869.67 KB
-
01_09_resources-how-google-does-ml_Module 2_ How Google Does Machine Learning - Resources.pdf - 43.35 KB
-
01_03_the-secret-sauce.en.srt - 15.7 KB
-
01_06_a-closer-look-at-the-path-to-ml.en.srt - 13.96 KB
-
01_06_a-closer-look-at-the-path-to-ml.en.txt - 8.87 KB
-
01_03_the-secret-sauce.en.txt - 8.25 KB
-
01_02_ml-surprise.en.srt - 6.79 KB
-
01_05_the-path-to-ml.en.srt - 5.97 KB
-
01_08_how-google-does-ml_exam.html - 4.2 KB
-
01_04_ml-and-business-processes.en.srt - 4.03 KB
-
01_07_end-of-phases-deep-dive.en.srt - 3.77 KB
-
01_05_the-path-to-ml.en.txt - 3.73 KB
-
01_02_ml-surprise.en.txt - 3.62 KB
-
01_04_ml-and-business-processes.en.txt - 2.12 KB
-
01_07_end-of-phases-deep-dive.en.txt - 2.02 KB
-
01_09_resources-how-google-does-ml_instructions.html - 1.09 KB
-
01_01_introduction.en.srt - 1.01 KB
-
01_01_introduction.en.txt - 569 B
-
-
-
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 - 9.86 MB
-
02_03_best-practices-for-machine-learning-environment-setup.mp4 - 3.14 MB
-
02_02_data-preprocessing-best-practices.mp4 - 2.86 MB
-
02_01_best-practices-for-machine-learning-development.en.srt - 12.89 KB
-
02_01_best-practices-for-machine-learning-development.en.txt - 6.71 KB
-
02_04_best-practices-for-implementing-machine-learning-on-vertex-ai_exam.html - 4.2 KB
-
02_03_best-practices-for-machine-learning-environment-setup.en.srt - 3.08 KB
-
02_02_data-preprocessing-best-practices.en.srt - 2.71 KB
-
02_03_best-practices-for-machine-learning-environment-setup.en.txt - 2.06 KB
-
02_02_data-preprocessing-best-practices.en.txt - 1.72 KB
-
-
01_best-practices-for-implementing-machine-learning-on-vertex-ai-module
-
01_01_introduction.mp4 - 477.17 KB
-
01_01_introduction.en.srt - 371 B
-
01_01_introduction.en.txt - 240 B
-
-
-
05_machine-learning-development-with-vertex-notebooks
-
02_ml-development-with-vertex-notebooks
-
02_01_machine-learning-development-with-vertex-notebooks.mp4 - 7.02 MB
-
02_03_resources-machine-learning-development-with-vertex-notebooks_Module 4_ Machine Learning Development with Vertex Notebooks - Resources.pdf - 40.6 KB
-
02_01_machine-learning-development-with-vertex-notebooks.en.srt - 8.66 KB
-
02_02_machine-learning-development-with-vertex-notebooks_exam.html - 5.9 KB
-
02_01_machine-learning-development-with-vertex-notebooks.en.txt - 4.53 KB
-
02_03_resources-machine-learning-development-with-vertex-notebooks_instructions.html - 1.1 KB
-
-
01_ml-development-with-vertex-notebooks-module-introduction
-
01_01_introduction.mp4 - 409.4 KB
-
01_01_introduction.en.srt - 309 B
-
01_01_introduction.en.txt - 211 B
-
-
-
01_introduction-to-course-and-series onehack.us
-
01_series-preview-and-course-introduction
-
01_01_course-series-preview.mp4 - 4.07 MB
-
01_02_course-introduction.mp4 - 2.05 MB
-
01_01_course-series-preview.en.srt - 2.72 KB
-
01_02_course-introduction.en.srt - 2.19 KB
-
01_01_course-series-preview.en.txt - 1.77 KB
-
01_02_course-introduction.en.txt - 1.14 KB
-
-
-
-
intro-tensorflow
-
03_design-and-build-an-input-data-pipeline
-
02_training-on-large-datasets-with-tf-data-api
-
02_04_embeddings.mp4 - 17.81 MB
-
02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.mp4 - 10.45 MB
-
02_03_getting-the-data-ready-for-model-training.mp4 - 7.67 MB
-
02_02_working-in-memory-and-with-files.mp4 - 5.17 MB
-
02_01_training-on-large-datasets-with-tf-data-api.mp4 - 4.67 MB
-
02_06_lab-intro-tensorflow-dataset-api.mp4 - 596.46 KB
-
02_04_embeddings.en.srt - 14.32 KB
-
02_03_getting-the-data-ready-for-model-training.en.srt - 10.4 KB
-
02_04_embeddings.en.txt - 7.56 KB
-
02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.en.srt - 6.22 KB
-
02_02_working-in-memory-and-with-files.en.srt - 5.92 KB
-
02_03_getting-the-data-ready-for-model-training.en.txt - 5.42 KB
-
02_01_training-on-large-datasets-with-tf-data-api.en.srt - 5.09 KB
-
02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.en.txt - 4 KB
-
02_02_working-in-memory-and-with-files.en.txt - 3.17 KB
-
02_01_training-on-large-datasets-with-tf-data-api.en.txt - 3.08 KB
-
02_06_lab-intro-tensorflow-dataset-api.en.srt - 752 B
-
02_06_lab-intro-tensorflow-dataset-api.en.txt - 456 B
-
-
03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers
-
03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.mp4 - 16.11 MB
-
03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.mp4 - 749.14 KB
-
03_04_resources-design-and-build-a-tensorflow-input-data-pipeline_Module 2_ Design and Build an Input Data Pipeline - Resources.pdf - 40.93 KB
-
03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.en.srt - 13.58 KB
-
03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.en.txt - 8.79 KB
-
03_03_design-and-build-input-data-pipeline_exam.html - 7.44 KB
-
03_04_resources-design-and-build-a-tensorflow-input-data-pipeline_instructions.html - 1.15 KB
-
03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.en.srt - 645 B
-
03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.en.txt - 415 B
-
-
01_design-and-build-input-data-pipeline-module-introduction
-
01_02_an-ml-recap.mp4 - 4.1 MB
-
01_01_introduction.mp4 - 623.57 KB
-
01_02_an-ml-recap.en.srt - 4.52 KB
-
01_02_an-ml-recap.en.txt - 2.37 KB
-
01_01_introduction.en.srt - 542 B
-
01_01_introduction.en.txt - 279 B
-
-
-
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 - 13.13 MB
-
03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.mp4 - 10.14 MB
-
03_06_model-subclassing.mp4 - 7.52 MB
-
03_02_serving-models-in-the-cloud.mp4 - 4.34 MB
-
03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.mp4 - 786.19 KB
-
03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.mp4 - 691.08 KB
-
03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.en.srt - 13.11 KB
-
03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.en.srt - 10.98 KB
-
03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.en.txt - 8.19 KB
-
03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.en.txt - 6.88 KB
-
03_06_model-subclassing.en.srt - 6.18 KB
-
03_02_serving-models-in-the-cloud.en.srt - 4.47 KB
-
03_06_model-subclassing.en.txt - 3.3 KB
-
03_02_serving-models-in-the-cloud.en.txt - 2.82 KB
-
03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.en.srt - 889 B
-
03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.en.srt - 777 B
-
03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.en.txt - 491 B
-
03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.en.txt - 379 B
-
-
02_activation-functions
-
02_01_activation-functions.mp4 - 10.27 MB
-
02_01_activation-functions.en.srt - 14.64 KB
-
02_01_activation-functions.en.txt - 7.61 KB
-
-
04_regularization
-
04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.mp4 - 7.16 MB
-
04_01_regularization-basics.mp4 - 6.24 MB
-
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 - 47.08 KB
-
04_01_regularization-basics.en.srt - 8.55 KB
-
04_03_building-neural-networks-in-tensorflow-with-keras-api_exam.html - 7.86 KB
-
04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.en.srt - 7.18 KB
-
04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.en.txt - 4.6 KB
-
04_01_regularization-basics.en.txt - 4.49 KB
-
04_04_resources-building-neural-networks-with-the-tensorflow-and-keras-api_instructions.html - 1.17 KB
-
-
01_building-neural-networks-with-the-tensorflow-and-keras-api-module-introduction
-
01_01_introduction.mp4 - 791.96 KB
-
01_01_introduction.en.srt - 753 B
-
01_01_introduction.en.txt - 389 B
-
-
-
02_introduction-to-the-tensorflow-ecosystem
-
02_introduction-to-tensorflow
-
02_03_components-of-tensorflow-tensors-and-variables.mp4 - 10.51 MB
-
02_01_introduction-to-tensorflow.mp4 - 7.32 MB
-
02_02_tensorflow-api-hierarchy.mp4 - 5.54 MB
-
02_05_resources-introduction-to-the-tensorflow-ecosystem_Module 1_ Introduction to the TensorFlow Ecosystem - Resources.pdf - 44.44 KB
-
02_03_components-of-tensorflow-tensors-and-variables.en.srt - 11.77 KB
-
02_01_introduction-to-tensorflow.en.srt - 8.02 KB
-
02_03_components-of-tensorflow-tensors-and-variables.en.txt - 7.06 KB
-
02_02_tensorflow-api-hierarchy.en.srt - 6.6 KB
-
02_04_introduction-to-the-tensorflow-ecosystem_exam.html - 5.81 KB
-
02_01_introduction-to-tensorflow.en.txt - 5.08 KB
-
02_02_tensorflow-api-hierarchy.en.txt - 4.18 KB
-
02_05_resources-introduction-to-the-tensorflow-ecosystem_instructions.html - 1.13 KB
-
-
01_introduction-to-the-tensorflow-ecosystem-module-introduction
-
01_01_introduction-to-the-tensorflow-ecosystem.mp4 - 442.71 KB
-
01_01_introduction-to-the-tensorflow-ecosystem.en.srt - 360 B
-
01_01_introduction-to-the-tensorflow-ecosystem.en.txt - 229 B
-
-
-
05_training-at-scale-with-vertex-ai
-
02_scaling-tensorflow-with-vertex-ai
-
02_01_training-at-scale-with-vertex-ai.mp4 - 9.47 MB
-
02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.mp4 - 933.46 KB
-
02_04_resources-training-at-scale-with-vertex-ai_Module 4_ Training at Scale with Vertex AI - Resources.pdf - 40.66 KB
-
02_01_training-at-scale-with-vertex-ai.en.srt - 9.89 KB
-
02_03_training-at-scale-with-vertex-ai_exam.html - 5.35 KB
-
02_01_training-at-scale-with-vertex-ai.en.txt - 5.04 KB
-
02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.en.srt - 1.16 KB
-
02_04_resources-training-at-scale-with-vertex-ai_instructions.html - 1.12 KB
-
02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.en.txt - 622 B
-
-
01_training-at-scale-with-vertex-ai-module-introduction
-
01_01_introduction.mp4 - 493.34 KB
-
01_01_introduction.en.srt - 438 B
-
01_01_introduction.en.txt - 241 B
-
-
-
06_summary
-
01_course-summary
-
01_04_resource-all-slides_Resource All slides.pdf - 7.7 MB
-
01_01_summary_TensorFlow on Google Cloud _ Course Summary.pdf - 240.35 KB
-
01_02_resource-all-quiz-questions_v3.0.4 TF on GC - ALL QUIZ QUESTIONS.pdf - 198.08 KB
-
01_03_resource-all-readings_TensorFlow on Google Cloud - Resources.pdf - 61.28 KB
-
01_03_resource-all-readings_instructions.html - 1.09 KB
-
01_01_summary_instructions.html - 1.06 KB
-
01_02_resource-all-quiz-questions_instructions.html - 1.04 KB
-
01_04_resource-all-slides_instructions.html - 1.04 KB
-
-
-
01_introduction-to-the-course
-
01_course-introduction
-
01_01_introduction.mp4 - 1.18 MB
-
01_01_introduction.en.srt - 1.13 KB
-
01_01_introduction.en.txt - 626 B
-
-
-
07_Resources
-
05_resources-all-readings
-
05_01__TensorFlow on Google Cloud - Resources.pdf - 61.28 KB
-
05_01__resources.html - 1.08 KB
-
-
03_resources-module-3
-
03_01__Module 3_ Building Neural Networks with the TensorFlow and Keras API - Resources.pdf - 47.08 KB
-
03_01__resources.html - 1.17 KB
-
-
01_resources-module-1
-
01_01__Module 1_ Introduction to the TensorFlow Ecosystem - Resources.pdf - 44.44 KB
-
01_01__resources.html - 1.13 KB
-
-
02_resources-module-2
-
02_01__Module 2_ Design and Build an Input Data Pipeline - Resources.pdf - 40.93 KB
-
02_01__resources.html - 1.13 KB
-
-
04_resources-module-4
-
04_01__Module 4_ Training at Scale with Vertex AI - Resources.pdf - 40.66 KB
-
04_01__resources.html - 1.12 KB
-
-
-
-
feature-engineering
-
03_module-2-raw-data-to-features
-
02_overview
-
02_01_overview-of-feature-engineering.mp4 - 16.37 MB
-
02_02_raw-data-to-features.mp4 - 2.38 MB
-
02_01_overview-of-feature-engineering.en.srt - 11.42 KB
-
02_01_overview-of-feature-engineering.en.txt - 7.25 KB
-
02_02_raw-data-to-features.en.srt - 2.89 KB
-
02_02_raw-data-to-features.en.txt - 1.57 KB
-
-
04_representing-features
-
04_01_representing-features.mp4 - 12.84 MB
-
04_03_resources-raw-data-to-features_Module 2_ Raw Data to Features - Resources.pdf - 38.73 KB
-
04_01_representing-features.en.srt - 14.75 KB
-
04_01_representing-features.en.txt - 7.64 KB
-
04_02_raw-data-to-features_exam.html - 4.8 KB
-
04_03_resources-raw-data-to-features_instructions.html - 1.09 KB
-
-
03_feature-attributes
-
03_02_features-should-be-known-at-prediction-time.mp4 - 8.52 MB
-
03_04_features-should-have-enough-examples.mp4 - 8.28 MB
-
03_03_features-should-be-numeric.mp4 - 6.39 MB
-
03_01_good-features-versus-bad-features.mp4 - 6.02 MB
-
03_05_bringing-human-insight.mp4 - 553.43 KB
-
03_02_features-should-be-known-at-prediction-time.en.srt - 8.94 KB
-
03_04_features-should-have-enough-examples.en.srt - 8.73 KB
-
03_03_features-should-be-numeric.en.srt - 7.1 KB
-
03_01_good-features-versus-bad-features.en.srt - 6.59 KB
-
03_02_features-should-be-known-at-prediction-time.en.txt - 5.66 KB
-
03_04_features-should-have-enough-examples.en.txt - 5.58 KB
-
03_03_features-should-be-numeric.en.txt - 4.39 KB
-
03_01_good-features-versus-bad-features.en.txt - 4.11 KB
-
03_05_bringing-human-insight.en.srt - 660 B
-
03_05_bringing-human-insight.en.txt - 330 B
-
-
01_raw-data-to-features-module-introduction
-
01_01_introduction.mp4 - 372.39 KB
-
01_01_introduction.en.srt - 335 B
-
01_01_introduction.en.txt - 171 B
-
-
-
02_module-1-introduction-to-vertex-ai-feature-store
-
05_creating-a-feature-store
-
05_01_creating-a-feature-store.mp4 - 14.41 MB
-
05_01_creating-a-feature-store.en.srt - 10.87 KB
-
05_01_creating-a-feature-store.en.txt - 6.81 KB
-
-
03_feature-store-terminology-and-concepts
-
03_01_feature-store-terminology-and-concepts.mp4 - 10.42 MB
-
03_01_feature-store-terminology-and-concepts.en.srt - 7.15 KB
-
03_01_feature-store-terminology-and-concepts.en.txt - 4.53 KB
-
-
06_serving-features-batch-and-online
-
06_01_serving-features-batch-and-online.mp4 - 8.84 MB
-
06_03_resources-introduction-to-vertex-ai-feature-store_Module 1_ Introduction to Vertex AI Feature Store - Resources.pdf - 37.41 KB
-
06_01_serving-features-batch-and-online.en.srt - 6.23 KB
-
06_02_introduction-to-vertex-ai-feature-store_exam.html - 5.69 KB
-
06_01_serving-features-batch-and-online.en.txt - 3.98 KB
-
06_03_resources-introduction-to-vertex-ai-feature-store_instructions.html - 1.15 KB
-
-
02_feature-store-benefits
-
02_01_feature-store-benefits.mp4 - 7.34 MB
-
02_01_feature-store-benefits.en.srt - 6.69 KB
-
02_01_feature-store-benefits.en.txt - 3.54 KB
-
-
04_the-feature-store-data-model
-
04_01_the-feature-store-data-model.mp4 - 2.02 MB
-
04_01_the-feature-store-data-model.en.srt - 2.06 KB
-
04_01_the-feature-store-data-model.en.txt - 1.1 KB
-
-
01_introduction-to-vertex-ai-feature-store-module-introduction
-
01_01_introduction.mp4 - 849.55 KB
-
01_01_introduction.en.srt - 732 B
-
01_01_introduction.en.txt - 402 B
-
-
-
07_module-6-introduction-to-tensorflow-transform
-
02_tensorflow-transform
-
02_01_tensorflow-transform.mp4 - 12.02 MB
-
02_03_transform-phase.mp4 - 5.45 MB
-
02_02_analyze-phase.mp4 - 4.6 MB
-
02_04_supporting-serving.mp4 - 4.1 MB
-
02_06_resources-introduction-to-tensorflow-transform_Module 6_ TensorFlow Transform - Resources.pdf - 37.86 KB
-
02_01_tensorflow-transform.en.srt - 13.45 KB
-
02_01_tensorflow-transform.en.txt - 7.17 KB
-
02_03_transform-phase.en.srt - 5.67 KB
-
02_05_introduction-to-tensorflow-transform_exam.html - 3.81 KB
-
02_02_analyze-phase.en.srt - 3.73 KB
-
02_04_supporting-serving.en.srt - 3.64 KB
-
02_03_transform-phase.en.txt - 2.95 KB
-
02_02_analyze-phase.en.txt - 2.28 KB
-
02_04_supporting-serving.en.txt - 1.99 KB
-
02_06_resources-introduction-to-tensorflow-transform_instructions.html - 1.12 KB
-
-
01_introduction-to-tensorflow-transform-module-introduction
-
01_01_introduction.mp4 - 454.9 KB
-
01_01_introduction.en.srt - 542 B
-
01_01_introduction.en.txt - 279 B
-
-
-
04_module-3-feature-engineering
-
02_feature-engineering-in-bigquery-ml
-
02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.mp4 - 10.64 MB
-
02_01_basic-feature-engineering.mp4 - 9.15 MB
-
02_04_advanced-feature-engineering-feature-crosses.mp4 - 7.82 MB
-
02_05_bucketize-and-transform-functions.mp4 - 5.69 MB
-
02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.mp4 - 730.53 KB
-
02_01_basic-feature-engineering.en.srt - 8.18 KB
-
02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.en.srt - 7.47 KB
-
02_04_advanced-feature-engineering-feature-crosses.en.srt - 6.96 KB
-
02_01_basic-feature-engineering.en.txt - 4.46 KB
-
02_04_advanced-feature-engineering-feature-crosses.en.txt - 4.42 KB
-
02_05_bucketize-and-transform-functions.en.srt - 3.96 KB
-
02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.en.txt - 3.95 KB
-
02_05_bucketize-and-transform-functions.en.txt - 2.41 KB
-
02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.en.srt - 912 B
-
02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.en.txt - 480 B
-
-
03_feature-engineering-in-keras
-
03_01_predict-housing-prices.mp4 - 10.44 MB
-
03_03_temporal-and-geolocation-features.mp4 - 9.3 MB
-
03_02_estimate-taxi-fare.mp4 - 5.21 MB
-
03_04_lab-intro-basic-feature-engineering-in-keras.mp4 - 680.04 KB
-
03_05_lab-intro-advanced-feature-engineering-in-keras.mp4 - 661.33 KB
-
03_07_resources-feature-engineering_Module 3_ Feature Engineering - Resources.pdf - 39.15 KB
-
03_01_predict-housing-prices.en.srt - 10.5 KB
-
03_06_feature-engineering_exam.html - 8.6 KB
-
03_03_temporal-and-geolocation-features.en.srt - 8.48 KB
-
03_01_predict-housing-prices.en.txt - 5.55 KB
-
03_03_temporal-and-geolocation-features.en.txt - 4.51 KB
-
03_02_estimate-taxi-fare.en.srt - 3.52 KB
-
03_02_estimate-taxi-fare.en.txt - 2.3 KB
-
03_07_resources-feature-engineering_instructions.html - 1.1 KB
-
03_04_lab-intro-basic-feature-engineering-in-keras.en.srt - 736 B
-
03_05_lab-intro-advanced-feature-engineering-in-keras.en.srt - 686 B
-
03_05_lab-intro-advanced-feature-engineering-in-keras.en.txt - 423 B
-
03_04_lab-intro-basic-feature-engineering-in-keras.en.txt - 406 B
-
-
01_feature-engineering-module-introduction
-
01_02_machine-learning-versus-statistics.mp4 - 3.93 MB
-
01_01_introduction.mp4 - 430.9 KB
-
01_02_machine-learning-versus-statistics.en.srt - 5.65 KB
-
01_02_machine-learning-versus-statistics.en.txt - 3.03 KB
-
01_01_introduction.en.srt - 376 B
-
01_01_introduction.en.txt - 212 B
-
-
-
08_module-7-summary
-
01_summary
-
01_04_resource-all-slides_T-MLGCP4-A _FE_CourseSlides.pdf - 9.04 MB
-
01_01_summary_Feature Engineering _ Course Summary.pdf - 372.04 KB
-
01_02_resource-all-quiz-questions_Feature Engineering - ALL QUIZ QUESTIONS v3.0.pdf - 226.19 KB
-
01_03_resource-all-readings_Feature Engineering - Resources.pdf - 52.41 KB
-
01_02_resource-all-quiz-questions_instructions.html - 1.09 KB
-
01_03_resource-all-readings_instructions.html - 1.08 KB
-
01_04_resource-all-slides_instructions.html - 1.06 KB
-
01_01_summary_instructions.html - 1.05 KB
-
-
-
09_Resources
-
04_resource-all-slides
-
04_01__T-MLGCP4-A _FE_CourseSlides.pdf - 9.04 MB
-
04_01__resources.html - 1.06 KB
-
-
01_summary
-
01_01__Feature Engineering _ Course Summary.pdf - 372.04 KB
-
01_01__resources.html - 1.05 KB
-
-
02_resource-all-quiz-questions
-
02_01__Feature Engineering - ALL QUIZ QUESTIONS v3.0.pdf - 226.29 KB
-
02_01__resources.html - 1.08 KB
-
-
03_resource-all-readings
-
03_01__v3.0 ML on GC-READINGS - Feature Engineering.pdf - 151.06 KB
-
03_01__resources.html - 1.08 KB
-
-
-
05_module-4-preprocessing-and-feature-creation
-
02_apache-beam-and-dataflow
-
02_02_dataflow-terms-and-concepts.mp4 - 7.63 MB
-
02_01_apache-beam-and-dataflow.mp4 - 5.5 MB
-
02_03_preprocessing-and-feature-creation_exam.html - 262.55 KB
-
02_04_resources-preprocessing-and-feature-creation_Module 4_ Preprocessing and Feature Creation - Resources.pdf - 38.64 KB
-
02_02_dataflow-terms-and-concepts.en.srt - 8.59 KB
-
02_01_apache-beam-and-dataflow.en.srt - 6.33 KB
-
02_02_dataflow-terms-and-concepts.en.txt - 5.28 KB
-
02_01_apache-beam-and-dataflow.en.txt - 3.95 KB
-
02_04_resources-preprocessing-and-feature-creation_instructions.html - 1.13 KB
-
-
01_preprocessing-and-feature-creation-module-introduction
-
01_01_introduction.mp4 - 585.79 KB
-
01_01_introduction.en.srt - 542 B
-
01_01_introduction.en.txt - 345 B
-
-
-
06_module-5-feature-crosses-tensorflow-playground
-
02_feature-crosses
-
02_01_what-is-a-feature-cross.mp4 - 2.9 MB
-
02_02_discretization.mp4 - 1.13 MB
-
02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.mp4 - 722.53 KB
-
02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.mp4 - 648.87 KB
-
02_06_resources-feature-crosses-tensorflow-playground_Module 5_ Feature Crosses and TensorFlow Playground - Resources.pdf - 34.8 KB
-
02_05_feature-crosses-tensorflow-playground_exam.html - 4.99 KB
-
02_01_what-is-a-feature-cross.en.srt - 3.06 KB
-
02_01_what-is-a-feature-cross.en.txt - 1.58 KB
-
02_06_resources-feature-crosses-tensorflow-playground_instructions.html - 1.14 KB
-
02_02_discretization.en.srt - 1.06 KB
-
02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.en.srt - 676 B
-
02_02_discretization.en.txt - 587 B
-
02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.en.srt - 563 B
-
02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.en.txt - 380 B
-
02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.en.txt - 333 B
-
-
01_feature-crosses-tensorflow-playground-module-introduction
-
01_01_introduction.mp4 - 346.43 KB
-
01_01_introduction.en.srt - 247 B
-
01_01_introduction.en.txt - 149 B
-
-
-
01_module-0-introduction
-
01_introduction-to-course
-
01_01_course-introduction.mp4 - 1.04 MB
-
01_01_course-introduction.en.srt - 1.08 KB
-
01_01_course-introduction.en.txt - 571 B
-
-
-
-
0. Join Our Discord for More Awesome Stuff!.txt - 156 B
-
| Trackers | Seeders | Leechers | Downloads |
|---|---|---|---|
| udp://tracker.breizh.pm:6969/announce | 0 | 0 | 0 |
| udp://www.torrent.eu.org:451/announce | 29 | 14 | 91 |
| udp://tracker.torrent.eu.org:451/announce | 29 | 14 | 91 |
| udp://tracker.opentrackr.org:1337/announce | 34 | 15 | 126 |
| udp://bubu.mapfactor.com:6969/announce | 0 | 0 | 2 |
| udp://open.stealth.si:80/announce | 26 | 12 | 86 |
| udp://tracker.ololosh.space:6969/announce | 0 | 0 | 0 |
| udp://pow7.com:80/announce | 1 | 0 | 1 |
| udp://exodus.desync.com:6969/announce | 0 | 0 | 1 |
| udp://bt2.archive.org:6969/announce | 0 | 0 | 0 |
| udp://bt1.archive.org:6969/announce | 0 | 0 | 0 |
| udp://explodie.org:6969/announce | 0 | 0 | 0 |
| udp://tracker1.bt.moack.co.kr:80/announce | 0 | 0 | 0 |
| udp://tracker2.dler.com:80/announce | 0 | 0 | 1 |
| udp://tracker.dler.com:6969/announce | 2 | 3 | 5 |
InfoHash:
22C132F12A822D83847584AE58FC30A838123875
Last updated:
May 4, 2024
File count:
754 B
File Category:
1
Tags:
coursera, machine, learning, google, cloud, specialization, course, series