Azure Machine Learning for Software Engineers

Download this episode

Download Video

Description

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.

Embed

Format

Available formats for this video:

Actual format may change based on video formats available and browser capability.

    The Discussion

    Comments closed

    Comments have been closed since this content was published more than 30 days ago, but if you'd like to send us feedback you can Contact Us.