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 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 webinars@doulos.com
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Related training available from Doulos:
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