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Edge Machine Learning - Project Tips & Tricks

1 hour session (All Time Zones)
Presenter: Loïc Domaigné

Doulos Member Technical Staff

Asia and Europe

Time: 10-11am (GMT) 11am-12pm (CET) 3.30-4.30pm (IST)


Time: 10-11am (PST) 11-12pm (MST) 12-1pm (CST) 1-2pm (EST)

Webinar Overview:

If you are looking to incorporate machine learning (ML) within your next embedded project, then this webinar will provide some useful direction to help you be successful - whether you build your own solutions or out-source.

We will cover important issues including:

  • Minimizing or mitigating typical project risks
  • Testing and validating ML algorithms
  • Data clean-up, distribution, statistics and over-fitting
  • What to do when data is missing!
  • Pros and cons of utilizing existing solutions vs developing from scratch

The webinar will also provide an overview of common open-source tools and frameworks as well as commercially available solutions from NXP. 

Loïc Domaigné

Loïc Domaigné is a Doulos Member Technical Staff and teaches Embedded classes. Loïc will present this training webinar, which will consist of a one-hour session, and will be interactive with Q&A participation from attendees.

Attendance is free of charge

If you have any queries, please contact

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