Linking pages
- GitHub - aaronwangy/Data-Science-Cheatsheet: A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. https://github.com/aaronwangy/Data-Science-Cheatsheet 13 comments
- GitHub - alexmorley/every-data-scientist-should-know: A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio https://github.com/alexmorley/every-data-scientist-should-know 4 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- GitHub - afshinea/stanford-cs-229-machine-learning: VIP cheatsheets for Stanford's CS 229 Machine Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/README.md 0 comments
- Deep INFOMAX, Image to Image Translation, FEVER, Perception Engines, QuAC, Best 150 ML Tutorials,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/deep-infomax-image-to-image-translation-fever-perception-engines-quac-best-150-ml-tutorials-71904cbcffb7 0 comments
- Sotawhat, Dynamic Meta-Embeddings, Journal, Fairness in ML Course, GraphNets, NLP Overview Paper, Medical Torch,… | by elvis | DAIR.AI | Medium https://medium.com/dair-ai/sotawhat-dynamic-meta-embeddings-journal-fairness-in-ml-course-graphnets-nlp-overview-paper-4a02f93dba2c 0 comments
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