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After a trying 2020, signs point to data science becoming an enterprise-wide capability that impacts every line of business and functional department in the coming year.
Decades into what should have been PostgreSQL’s dotage, developers keep reimagining what it can be.
Organization pledges $40 million for initiatives to help nonprofits and NGOs benefit from data science and to foster the responsible and inclusive use of data and AI.
See how to speed up your R code, customize your graphics, and more
These 6 AIops solution providers can help companies manage the dizzying complexity of modern data sets.
Microsoft Azure combines a wide range of cognitive services and a solid platform for machine learning that supports automated ML, no-code/low-code ML, and Python-based notebooks.
Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.
See how the purrr package’s possibly() function helps you flag errors and keep going when applying a function over multiple objects in R.
Viable, large-scale quantum computers will require better qubits, better control chip technology, more advanced error correction, and new components at every layer of the stack. We’re making progress.
By combining machine learning and adaptive query execution, query optimization in Presto could become smarter and more efficient over repeated use.