Curated essays about the future of Data Science. Production Data Science and learning resources for continuous learning. Covers Data Science, Data Engineering, MLOps & DataOps. Curated by people at https://nibble.ai/
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I recently talked to a few people wondering about the differences between data science and data engineering, these articles should enlighten you:
With great power comes great responsibility. Organisations can mitigate the risks of applying artificial intelligence and advanced analytics by embracing three principles.
Choose the right AI Business Model
A strong Business Model is a critical element to any project, AI/data projects are no exceptions, and as usual with everything data, it requires some adjustment, read more here.
Parallel processing is a mode of operation where the task is executed simultaneously in multiple processors in the same computer. It is meant to reduce the overall processing time. In this tutorial, you’ll understand the procedure to parallelize any typical logic using python’s multiprocessing module.
