This interactive demonstration will cover how you can use automation to effortlessly infer structure and remove noise from unstructured sources and use innovative computational methods and semantic analysis to drive insight from otherwise suboptimal sources. These methods will be applied to a variety of data types, including image, audio and video sources, and will utilise a number of real-world situations. With all this functionality built into the Wolfram Language, the power of multiparadigm data science can be used by anyone with a knowledge of the language, opening the door to powerful insight and efficient workflows in any setting.
Matthew James
Technical Specialist, Wolfram Research
Akshat Puri
Wolfram Technology Engineer
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