Take time to explore Microsoftβs Azure machine learning platform, Azure MLβa production environment that simplifies the development and deployment of machine learning models. In this OβReilly report, Stephen Elston from Quantia Analytics uses a complete data science example (forecasting hourly deman
Exam ref 70-774 perform cloud data science with Azure machine learning
β Scribed by Grant, Ginger, author
- Publisher
- [Place of publication not identified] : Microsoft Corporation : Pearson Education
- Year
- 2018
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
1 online resource (1 volume) :
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<p><b>Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes</b></p> <h4>Key Features</h4> <ul><li>Make sense of data on the cloud by implementing advanced analytics </li> <li>Train and opt
<p><b>Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes</b></p> <h4>Key Features</h4> <ul><li>Make sense of data on the cloud by implementing advanced analytics </li> <li>Train and opt