
BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
Brain Inspired
Challenges of Working with Data Sets and the Need for Data Cleaning
This chapter discusses the hurdles faced when dealing with large data sets, emphasizing the essential but often overlooked step of data cleaning to tackle the inherent complexities in the data. It illustrates the prevalence of anomalies in data sets, underscoring the need for algorithm modifications to address these irregularities.
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