Image may be NSFW.
Clik here to view.
Data is the lifeblood of machine learning (ML) projects. At the same time, the data preparation process is one of the main challenges that plague most projects. According to a recent study, data preparation tasks take more than 80% of the time spent on ML projects. Data scientists spend most of their time on data cleaning (25%), labeling (25%), augmentation (15%), aggregation (15%), and identification (5%). Percentage of time allocated to machine learning projects (source)
Read the full article at: www.topbots.com
