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AI Competitions and Benchmarks: Dataset Development
April 16, 2024, 4:42 a.m. | Romain Egele, Julio C. S. Jacques Junior, Jan N. van Rijn, Isabelle Guyon, Xavier Bar\'o, Albert Clap\'es, Prasanna Balaprakash, Sergio Escalera, Thom
cs.LG updates on arXiv.org arxiv.org
Abstract: Machine learning is now used in many applications thanks to its ability to predict, generate, or discover patterns from large quantities of data. However, the process of collecting and transforming data for practical use is intricate. Even in today's digital era, where substantial data is generated daily, it is uncommon for it to be readily usable; most often, it necessitates meticulous manual data preparation. The haste in developing new models can frequently result in various …
abstract applications arxiv benchmarks competitions cs.lg daily data dataset development digital generate generated however machine machine learning patterns practical process stat.ml type
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