本影片未以 中文(繁體) 提供。本影片以 English (US) 提供。

Azure Machine Learning for Software Engineers

In this session Dan Grecoe explains Azure Machine Learning through a comprehensive end-to-end example that he builds during the session and that encompasses: •Problem detection •Algorithm selection •Machine learning model creation and deployment as a RESTful web service •Consumption of the machine learning model The session is intended for engineers, and Dan himself is an engineer, so he does not delve into a deep understanding of complex mathematical models behind machine learning, but instead focuses on the concepts of machine learning to demystify cloud machine learning.

相關影片

Combine Machine Learning and Azure Search for a new search experience

Author CoreML models with Azure Machine Learning

Machine Learning on the cutting edge: Azure ML and IoT Edge