APIs & Machine Learning
Google Cloud
| Intermediate
- 9 videos | 59m 37s
- Includes Assessment
- Earns a Badge
Machine learning and ML APIs are part of the Cloud ML engine. Explore the various ML APIs and how to implement an app that uses the Vision API.
WHAT YOU WILL LEARN
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Define the cloud ml engine and its purpose with gcpDescribe the machine learning workflow and how the process works in various scenariosDefine the vision api and its purposeDescribe the natural language api and its relevance in gcpRecall translation api and speech api best practices
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Demonstrate the use of various apisWork with the ml rest api using the translation apiUse the cloud vision api with a kubernetes clusterDescribe the use of machine learning, including the common apis
IN THIS COURSE
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7m 16sIn this video, you will learn how to define the Google Cloud ML Engine and its purpose. FREE ACCESS
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5m 31sUpon completion of this video, you will be able to describe the machine learning workflow and how the process works in various scenarios. FREE ACCESS
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2m 30sIn this video, you will learn about the Vision API and its purpose. FREE ACCESS
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4m 13sUpon completion of this video, you will be able to describe the Natural Language API and its relevance to GCP. FREE ACCESS
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6m 6sUpon completion of this video, you will be able to recall the best practices for Translation API and Speech API. FREE ACCESS
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5m 58sIn this video, you will learn how to use various APIs. FREE ACCESS
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7m 2sDuring this video, you will learn how to work with the ML REST API using the Translation API. FREE ACCESS
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9m 20sFind out how to use the Cloud Vision API with a Kubernetes cluster. FREE ACCESS
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11m 41sAfter completing this video, you will be able to describe the use of machine learning, including the common application programming interfaces. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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