Rutgers University 3 credits Data Science
This is a one-semester advanced course on the practical aspects of designing, developing, and deploying artificial intelligence (AI) applications. The course material will cover and apply to a broad span of AI methods and a similarly broad span of applications, with in-depth focus on deep learning-enabled perception methods, i.e., methods for using deep neural networks for detecting, classifying, and keeping track of patterns in data. The theory of some common deep learning architectures will be briefly reviewed, but as we will see throughout the semester, knowing the theory of a specific AI technique or architecture in isolation is not enough to enable us to design, develop, and deploy robust systems that perform reliably on constantly changing real-world data.
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