Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud using QwikLabs.
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- 5 stars68.80%
- 4 stars24.07%
- 3 stars4.50%
- 2 stars1.53%
- 1 star1.08%
SMART ANALYTICS, MACHINE LEARNING, AND AI ON GCP의 최상위 리뷰
I couldn't complete the Kubeflow lab due to issues that I encountered setting it up. Overall, the course has given me a good understanding of Machine Learning model creation options available on GCP
Great insight about using machine learning on Google cloud platform. I am impressed
Great hands one excercises to confirm few coding lines to do real world predictions
Great course to have a complete overview of the GCP platform and components.
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