Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
• Some of the toughest challenges in an engineering project are organizational rather than technical. • The process of selling your ideas to other departments can be as important as having sound ...
It is a natural goal of any organization to maximize the return on investment of their machine learning (ML) projects. To do this, an organization must be aware of a number of pitfalls that can ...
Prior knowledge needed: ECEA 5385 Industrial IoT Markets and Security, experience with technical writing, foundational knowledge and experience in embedded systems architecture, C programming, ...
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