Search for tag: "modelops on ibm cloud pak for data"
Exercise 7: Monitor the modelThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use AI Factsheets in Cloud Pak for Data to track AI models in an organization. |
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Exercise 6: Analyze the dataThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use AutoAI in Cloud Pak for Data to analyze data and create a model. |
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Exercise 5: Prepare the dataThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use DataRefinery in Cloud Pak for Data to prepare data for analysis. |
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Exercise 4: Govern the dataThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to profile and protect data in Cloud Pak for Data. |
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Exercise 3: Collect the dataThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to virtualize data in Cloud Pak for Data. |
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Exercise 1: Explore the Cloud Pak for Data environmentThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to navigate the Cloud Pak for Data user interface. |
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Exercise 2: Create a project for analyzing dataThis video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to create a project in Cloud Pak for Data to use for analyzing data. |
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Managing ModelOps with IBM Cloud Pak for Data V4.6: Course scenarioThis video introduces the business scenario that is followed in the Managing ModelOps with IBM Cloud Pak for Data V4.6 course. |
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The Elements of AI (part 3): ModelOps on IBM Cloud Pak for DataNearly 50% of #AI models never make it from pilot to production. By adopting a developer mindset, data scientists can use #ModelOps to scale AI. See how with IBM Cloud Pak for Data. Learn more
From CorpMkt-EiC-JY
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