nibble.ai dispatch

By Florent (nibble.ai)

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/

Previous issues

nibble.ai dispatch - Issue #32: DevOps principles for AI/ML, Steam powered days of ML, How to recognize AI snake oils, Hacking neural networks, and more...

#32 Nov 28, 2019

nibble.ai weekly - Issue #31: Continuous Delivery for ML, Why is “hers” not recognized as pronoun?, Coding habits for data scientists, Functional programming, and more...

#31 Nov 14, 2019

nibble.ai weekly - Issue #30: investigating OpenAI, the risks of AutoML, Hyperopt on Spark, and more...

#30 Oct 31, 2019

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