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This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers’ abilities to drive safely and efficiently.
Data science assists SEO experts in countless ways, like personalizing the customer experience, understanding client requirements, and many other things.
The aphorism acknowledges that models of our knowledge always fall short of the complexities of reality but can still be useful nonetheless. With this model background, let us delve into this article focusing on specific technical debt in Machine Learning System development.
An interview with Brenden Bartholomew, President of Vector Aerial, on the use of drones in both military and civilian contexts, as well as a discussion about how Drone AI works and where it’s heading
Technical Debt describes what results when development teams take conscious actions to expedite the delivery of a piece of functionality or a project which later needs to be remediated via refactoring.
Building machine learning projects can give you a much more comprehensive education about how they work.