Data Science Books
Data Science Books are publications that cover various topics related to the field of data science, including but not limited to data analysis, machine learning, data visualization, coding languages such as Python and R, statistical methods, and data mining. These books are designed to provide readers with in-depth knowledge and practical skills to analyze and interpret complex data sets, make data-driven decisions, and solve real-world problems using data science techniques.
External Links
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- [data.mlr.press] Data-centric Machine Learning Research | The Journal of Data-centric Machine Learning Research (DMLR) is a new member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research.
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- [open.science.gov] Science.gov - Open Science Announcements from Federal Agencies
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